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Considering the Potential Health Impacts of Electric Scooters: An Analysis of User Reported Behaviors in Provo, Utah

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International Journal of Environmental Research and Public Health (IJERPH)
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Abstract and Figures

Electric scooters (e-scooters) are an increasingly popular form of transportation in urban areas. While research on this topic has focused primarily on injuries, there are multiple mechanisms by which e-scooter share programs may impact health. The aim of this study is to explore the health-related behaviors of e-scooter users and to discuss their implications for public health. Data were collected using an online survey emailed to registered e-scooter users. A total of 1070 users completed the survey. Descriptive variable statistics and chi-squared analysis were performed to determine variable dependent relationships and equality of proportions. The most common destinations reported were “just riding around for fun”, home, and dining/shopping. The two most common modes of transportation that would have been used if e-scooters were not available were walking (43.5%) and using a personal vehicle (28.5%). Riding behavior was equally mixed between on the street, on the sidewalk, and equal amounts of both. e-Scooters in Provo are likely having both positive (e.g., air pollution) and negative impacts on health (e.g., injuries, physical inactivity). Future research should further explore patterns of e-scooter use and explicitly examine the linkages between e-scooters and areas of health beyond just injuries.
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International Journal of
Environmental Research
and Public Health
Article
Considering the Potential Health Impacts of Electric
Scooters: An Analysis of User Reported Behaviors in
Provo, Utah
Jerey Glenn 1, * , Madeline Bluth 1, Mannon Christianson 1, Jaymie Pressley 1, Austin Taylor 2,
Gregory S. Macfarlane 3and Robert A. Chaney 1
1Department of Public Health, College of Life Sciences, Brigham Young University, Provo, UT 84602, USA;
mbluth13@byu.edu (M.B.); mannonlc@byu.edu (M.C.); jpressl3@byu.edu (J.P.); rchaney@byu.edu (R.A.C.)
2Community and Neighborhood Services Department, City of Provo, Provo, UT 84601, USA;
ataylor@provo.org
3
Department of Civil and Environmental Engineering, Ira A. Fulton College of Engineering, Brigham Young
University, Provo, UT 84602, USA; gregmacfarlane@byu.edu
*Correspondence: je_glenn@byu.edu; Tel.: +1-801-422-9754
Received: 17 July 2020; Accepted: 24 August 2020; Published: 31 August 2020


Abstract:
Electric scooters (e-scooters) are an increasingly popular form of transportation in urban
areas. While research on this topic has focused primarily on injuries, there are multiple mechanisms
by which e-scooter share programs may impact health. The aim of this study is to explore the
health-related behaviors of e-scooter users and to discuss their implications for public health.
Data were collected using an online survey emailed to registered e-scooter users. A total of 1070 users
completed the survey. Descriptive variable statistics and chi-squared analysis were performed
to determine variable dependent relationships and equality of proportions. The most common
destinations reported were “just riding around for fun”, home, and dining/shopping. The two most
common modes of transportation that would have been used if e-scooters were not available were
walking (43.5%) and using a personal vehicle (28.5%). Riding behavior was equally mixed between
on the street, on the sidewalk, and equal amounts of both. e-Scooters in Provo are likely having
both positive (e.g., air pollution) and negative impacts on health (e.g., injuries, physical inactivity).
Future research should further explore patterns of e-scooter use and explicitly examine the linkages
between e-scooters and areas of health beyond just injuries.
Keywords: electric scooters; urban transport; public health
1. Introduction
There is growing awareness in academic and policy circles of the close linkages between health and
urban transportation practices [
1
]. Stand-up electric scooters (e-scooters), two-wheeled vehicles with a
small electric motor and a thin deck on which a single rider stands, are a relatively new micro-mobility
option for urban areas and have the potential for both positive and negative health impacts [
2
4
].
Although research on the health impacts of e-scooters is sparse, the topic merits further exploration
given the rapid increase in e-scooter popularity over the past three years in the United States and
around the world [58].
Gaining a better understanding of the true positive and negative health impacts of e-scooters
must start with more fully understanding e-scooter users and patterns of use [
9
]. The potential health
impacts of e-scooters depend on answers to questions related to user behaviors—e.g., substituting
other forms of transit, commuting vs. recreational use, compliance with safety regulations. While some
information exists to help answer these and other key questions, important knowledge gaps remain.
Int. J. Environ. Res. Public Health 2020,17, 6344; doi:10.3390/ijerph17176344 www.mdpi.com/journal/ijerph
Int. J. Environ. Res. Public Health 2020,17, 6344 2 of 15
The aim of this study is to explore the health-related behaviors of e-scooter users in Provo,
Utah four months after an e-scooter share program was introduced. Among the many evidence gaps
that remain, this study focuses on four primary research questions: (1) What motivations do users have
for riding e-scooters?; (2) What are the primary destinations of e-scooter users?; (3) What alternative
travel mode would riders be using if not riding an e-scooter?; (4) To what degree are e-scooter users
aware of and complying with safety regulations? (5) What program or policy changes do e-scooter
users believe would improve Provo’s e-scooter share program? Based on this research, we identify
opportunities for policy change that will facilitate positive health impacts of e-scooter use in Provo and
other cities. We also hope to encourage researchers and policymakers to seek a deeper understanding
of patterns of use in diverse contexts as they consider the broad range of potential health impacts
of e-scooters.
1.1. Background: e-Scooter Share Programs
e-Scooter share programs were first introduced in the United States in Santa Monica, California in
September 2017 and are now present in over 80 cities and 26 states throughout the country [
5
,
10
13
].
In 2018, users took 38.5 million trips on shared e-scooters in the United States [
14
]. Two of the largest
e-scooter companies, Bird and Lime, were recently valued at over $2 billion each [
6
,
15
17
]. Multiple
other companies, including ride share giants Uber and Lyft, have entered the competitive e-scooter
market, which is predicted to become a $42 billion industry by 2030, although there is some evidence
that the COVID-19 pandemic has contributed to reduced ridership numbers in recent months [
18
20
].
While there are variations between programs, in a typical e-scooter share arrangement a private
company enters an agreement with local government ocials to place e-scooters on city streets and
make them available to rent for short periods of time [
2
,
21
23
]. Potential users download a mobile
phone application that allows them to view the locations of available e-scooters in real time and to
begin, end, and pay for their rides. Users are typically charged a flat fee for the rental plus an additional
fee for each minute the e-scooter is used. Users leave their e-scooters at their final destinations where
the e-scooters then become available to other users. Within municipal share programs, e-scooters
typically have a range between 15 and 20 miles, and speeds are usually capped at 15 miles per hour [
10
].
e-Scooters are appealing for a variety of reasons. For users, e-scooters oer a convenient, aordable,
fun transportation option that serves as an alternative to motor vehicles, biking, and walking [
3
,
11
].
e-Scooters are frequently used for both commuting and recreational purposes [
6
]. For local governments,
e-scooters represent a new form of transportation that can help bridge the “last mile” gap, a common
obstacle for transit use, by connecting people with public transit nodes [
9
,
22
,
24
,
25
]. e-Scooters are
also seen as an environmentally friendly means for reducing trac congestion in urban areas [
26
,
27
].
Moreover, e-scooter programs may be appealing to local ocials because government funds are not
usually required to start or maintain them; rather, e-scooter companies pay fees that allow government
agencies to make infrastructure improvements for e-scooter riders [
14
]. e-Scooters may even be a
contributing factor to economic development because they facilitate easier access to businesses located
in urban centers where parking is scarce and motor vehicle travel is more dicult.
e-Scooters have been warmly welcomed by some municipalities and shunned by others as
state and local governments have struggled to enact appropriate regulations to manage the rapid
expansion of e-scooter share programs [
5
,
21
,
28
30
]. Significant variation in e-scooter laws exists
between states and cities—e.g., helmet use, sidewalk riding, hours of operation. [
6
,
10
,
21
,
28
,
31
,
32
].
Since many state legislatures have not specifically addressed e-scooter usage, local governments
have taken on the brunt of regulatory responsibility by attempting to manage e-scooter use with city
ordinances [
21
]. e-Scooters create complicated liability issues in which municipalities may become
liable for e-scooter injuries [10,21,31].
Int. J. Environ. Res. Public Health 2020,17, 6344 3 of 15
1.2. Background: e-Scooters and Health
There is a range of mechanisms through which e-scooters may aect health. In a recent evidence
review, Khreis et al. found multiple linkages between urban transport exposures or practices and
adverse health impacts [
1
]. While the research on e-scooters and health is limited, many of these
linkages have been shown or theorized to apply to e-scooters discussed below. Figure 1highlights
these linkages and illustrates that they are shaped by available transport options and features of the
built environment.
1.2. Background: e-Scooters and Health
There is a range of mechanisms through which e-scooters may affect health. In a recent evidence
review, Khreis et al. found multiple linkages between urban transport exposures or practices and
adverse health impacts [1]. While the research on e-scooters and health is limited, many of these
linkages have been shown or theorized to apply to e-scooters discussed below. Figure 1 highlights
these linkages and illustrates that they are shaped by available transport options and features of the
built environment.
Figure 1. Linkages between e-scooters and health. Adapted from Khreis et al., 2017 [1].
1.2.1. Injuries
A primary public health concern, and the focus of the vast majority of academic research on e-
scooters to date, is e-scooter-related injuries [10]. Several studies in the United States and elsewhere
have found a high incidence of injuries related to scooter usage, particularly head and limb trauma,
after the introduction of e-scooter share programs [5,12,24,28,33–35]. There is even some evidence
that the injury rate for e-scooters may be higher than that of motorcycles and personal vehicles [27,36].
Most injuries are due to falls or collisions with objects (not with motor vehicles) that occur due to
poor road conditions or excessive speeds [5,23,33,35,37]. There have also been reports of burns
resulting from explosions of batteries [35,38]. In the United States at least nine known deaths have
been linked with e-scooter use [10].
Various factors contribute to the prevalence of e-scooter injuries: Incompatible infrastructure
(e.g., lack of bike lanes), lack of directional tools on e-scooters (e.g., turn signals, headlights), rider
inexperience and noncompliance with age restrictions, failure of users to obey traffic rules, alcohol
use, and reluctance to wear helmets [5,7,24,28,33]. Recent studies have found helmet use among
injured e-scooter riders to be extremely low, ranging from 0% and 8% in most studies
[5,6,23,24,28,34,35,39]. Additionally, despite regulations prohibiting them from doing so, e-scooter
users commonly ride and park on sidewalks, which can lead to injuries to users as well as to
pedestrians [40,41]. One study found that 44% of collisions occurred on sidewalks where riding was
prohibited, and others have found that approximately 10% of all e-scooter related injuries involve
pedestrians [5,7,10,23,26,31,33,42]. Vulnerable populations such as the elderly, hearing impaired, and
young children have an increased risk for sidewalk-related injuries [31]. A sizeable proportion of e-
scooter injuries among users involve children under 18, despite most rental company agreements
prohibiting ridership for minors [5]. Many of these hazards relate to cultural norms and limited
regulation that may minimize users’ perception of potential dangers and therefore lead to unsafe
behaviors [28].
Figure 1. Linkages between e-scooters and health. Adapted from Khreis et al., 2017 [1].
1.2.1. Injuries
A primary public health concern, and the focus of the vast majority of academic research on
e-scooters to date, is e-scooter-related injuries [
10
]. Several studies in the United States and elsewhere
have found a high incidence of injuries related to scooter usage, particularly head and limb trauma,
after the introduction of e-scooter share programs [
5
,
12
,
24
,
28
,
33
35
]. There is even some evidence that
the injury rate for e-scooters may be higher than that of motorcycles and personal vehicles [
27
,
36
].
Most injuries are due to falls or collisions with objects (not with motor vehicles) that occur due to poor
road conditions or excessive speeds [
5
,
23
,
33
,
35
,
37
]. There have also been reports of burns resulting
from explosions of batteries [
35
,
38
]. In the United States at least nine known deaths have been linked
with e-scooter use [10].
Various factors contribute to the prevalence of e-scooter injuries: Incompatible infrastructure
(e.g., lack of bike lanes), lack of directional tools on e-scooters (e.g., turn signals, headlights),
rider inexperience and noncompliance with age restrictions, failure of users to obey trac rules, alcohol
use, and reluctance to wear helmets [
5
,
7
,
24
,
28
,
33
]. Recent studies have found helmet use among injured
e-scooter riders to be extremely low, ranging from 0% and 8% in most studies [
5
,
6
,
23
,
24
,
28
,
34
,
35
,
39
].
Additionally, despite regulations prohibiting them from doing so, e-scooter users commonly ride and
park on sidewalks, which can lead to injuries to users as well as to pedestrians [
40
,
41
]. One study
found that 44% of collisions occurred on sidewalks where riding was prohibited, and others have
found that approximately 10% of all e-scooter related injuries involve pedestrians [
5
,
7
,
10
,
23
,
26
,
31
,
33
,
42
].
Vulnerable populations such as the elderly, hearing impaired, and young children have an increased
risk for sidewalk-related injuries [
31
]. A sizeable proportion of e-scooter injuries among users involve
children under 18, despite most rental company agreements prohibiting ridership for minors [
5
].
Many of these hazards relate to cultural norms and limited regulation that may minimize users’
perception of potential dangers and therefore lead to unsafe behaviors [28].
Int. J. Environ. Res. Public Health 2020,17, 6344 4 of 15
1.2.2. Environment (Air Pollution/Noise Exposure)
In providing an electric alternative to motor vehicles, e-scooters are typically perceived as an
environmentally friendly form of transportation that could lead to lower vehicle emissions and
cleaner air in cities where they are being used [
3
]. Since air pollution is responsible for premature
morbidity and mortality from a number of diseases—including, for example, respiratory infections,
cardiovascular disease, and premature birth—the potential positive impact of e-scooter use on health
is significant [
1
,
43
]. Exposure to noise from motor vehicle engines, which has been linked to increased
incidence of ischemic heart disease, cognitive impairment among children, and sleep disturbance, is also
inversely correlated with e-scooter use since the battery-operated engines are essentially silent [1,10].
Although e-scooters are commonly seen as a green alternative to gasoline-powered motor vehicles,
they present a number of environmental concerns—including greenhouse gas emissions, particulate
matter formation, and use of mineral and fossil resources—that often go overlooked [
44
47
]. Findings
from recent studies suggest that, overall, e-scooters have a more negative life cycle impact on the
environment than the transportation modes they are replacing [
2
,
47
]. One study found that e-scooters’
impact on climate change is better than that of personal automobiles but worse than that of buses with
higher ridership or electric bicycles [
2
]. With an average lifespan of about 2 years before often ending
up in landfills, e-scooters’ high level of disposability is a key driver of negative environmental impacts,
which means that this impact will likely lessen as technology improves, a goal e-scooter companies
are actively workings towards [
2
,
47
,
48
]. Another major issue is the vehicles used to collect e-scooters
each day for charging and relocating. One study found that the 43% of the emissions attributable to
e-scooters stem from collection vehicles [
2
]. More sparsely populated areas likely necessitate higher
collection miles driven and thus the e-scooters will likely lead to more air pollution than in densely
populated urban areas. Another environmental concern is the greenhouse gas emissions required
to manufacture and assemble e-scooters [
2
]. This process includes the extraction of raw materials,
including aluminum and lithium, for the e-scooter frames and batteries.
1.2.3. Physical Inactivity
Very little research exists on the linkage between e-scooters and physical activity. Insucient
physical activity is responsible for over 2 million deaths each year as a key risk factor for multiple
chronic diseases [
49
]. Because the act of riding e-scooters in itself likely oers few physical activity
benefits, some health researchers have expressed concerns that e-scooters will replace active forms of
transportation such as walking and cycling [
50
52
]. On the other hand, some advocates have observed
a positive association between the increase in e-scooters and more active transportation as cities seeking
to accommodate e-scooters have improved infrastructure that indirectly creates an environment and
culture more conducive to cycling and walking [
53
,
54
]. Some e-scooter companies have argued that
e-scooters oer a low-intensity workout that can help users increase core strength and exercise their
legs, in addition to acting as a “gateway activity” to further exercise [
55
]. While these specific claims
have yet to be confirmed through research, some preliminary conclusions that e-scooters oer the
potential for at least minor physical activity benefits may be drawn from the literature about the
positive health benefits of standing compared to sitting [5658].
1.2.4. Social Exclusion and Community Severance
Critical questions remain regarding the eects of e-scooters share programs on social life in
communities in which they operate. Community health and social interaction, which are influenced by
neighborhood design and transport infrastructure, have a significant impact on mental health and
well-being of community members [
1
,
59
,
60
]. Community severance occurs where transportation acts
as a physical or psychological barrier that separates built-up areas or open spaces [
1
]. There are reasons
to believe e-scooters may increase community connectedness by improving access to transit, recreation
facilities, and other public spaces where social interaction occurs. On the other hand, e-scooters may
Int. J. Environ. Res. Public Health 2020,17, 6344 5 of 15
also contribute to community severance, for example by increasing risks of pedestrian injuries or by
acting as a visual symbol of disorder in urban neighborhoods due to erratic placement of e-scooters after
use [
50
,
61
]. There are reports of frustrated city residents vandalizing e-scooters and even celebrating
their actions by posting evidence of that vandalism on social media [
62
]. Even if e-scooters do not
represent a new barrier to community connectedness, the benefits of e-scooter access may not be
available equitably to people of lower socioeconomic statuses while any negative health impacts may
disproportionately aect these same people, which could exacerbate existing inequalities [51].
2. Methods
2.1. Study Context
This study looked at e-scooter rider behavior in Provo, UT, a city of 116,000 people [
63
] located
approximately 40 miles south of Salt Lake City, UT. The close proximity of two large universities within
or near Provo City limits has contributed to a high concentration of residents and trac. Provo’s mayor
was primarily interested in the e-scooter program to improve the air quality of the city by providing
zero emission alternatives to driving [
64
]. In partnership with the company Zagster, an e-scooter share
program was introduced in Provo in August 2019. The geographic area principally targeted in the
e-scooter program lies between downtown Provo and Brigham Young University (BYU), where there is
a high concentration of college-aged residents, relatively dense commercial and educational land use,
and a new Bus Rapid Transit (BRT) line. BYU does not permit e-scooters on campus. Figure 2shows the
geospatial distribution of e-scooter rides observed in October 2019. At the time of the survey, 500 total
e-scooters were available on city streets. Between August 19 and December 31, over 85,000 rides were
taken on Provo’s e-scooters [
65
]. Provo City Code 9.15.200 prohibits e-scooter use on sidewalks [
66
]
Helmet use is not required but is strongly encouraged. While Utah state law prohibits people under
eight years old from riding an e-scooter, Zagster policy requires users to be eighteen or older to rent
an e-scooter.
even celebrating their actions by posting evidence of that vandalism on social media [62]. Even if e-
scooters do not represent a new barrier to community connectedness, the benefits of e-scooter access
may not be available equitably to people of lower socioeconomic statuses while any negative health
impacts may disproportionately affect these same people, which could exacerbate existing
inequalities [51].
2. Methods
2.1. Study Context
This study looked at e-scooter rider behavior in Provo, UT, a city of 116,000 people [63] located
approximately 40 miles south of Salt Lake City, UT. The close proximity of two large universities
within or near Provo City limits has contributed to a high concentration of residents and traffic.
Provo’s mayor was primarily interested in the e-scooter program to improve the air quality of the
city by providing zero emission alternatives to driving [64]. In partnership with the company
Zagster, an e-scooter share program was introduced in Provo in August 2019. The geographic area
principally targeted in the e-scooter program lies between downtown Provo and Brigham Young
University (BYU), where there is a high concentration of college-aged residents, relatively dense
commercial and educational land use, and a new Bus Rapid Transit (BRT) line. BYU does not
permit e-scooters on campus. Figure 2 shows the geospatial distribution of e-scooter rides observed
in October 2019. At the time of the survey, 500 total e-scooters were available on city streets.
Between August 19 and December 31, over 85,000 rides were taken on Provo’s e-scooters [65].
Provo City Code 9.15.200 prohibits e-scooter use on sidewalks [66] Helmet use is not required but is
strongly encouraged. While Utah state law prohibits people under eight years old from riding an e-
scooter, Zagster policy requires users to be eighteen or older to rent an e-scooter.
Figure 2. Density of e-scooter trip points in October 2019. Data from Zagster via Provo City,
background streets supplied by OpenStreetMap.
Figure 2.
Density of e-scooter trip points in October 2019. Data from Zagster via Provo City, background
streets supplied by OpenStreetMap.
Int. J. Environ. Res. Public Health 2020,17, 6344 6 of 15
2.2. Study Design
This study was a cross sectional study designed to address the primary research questions.
Data were collected using a 13-item online questionnaire; three were demographic questions and
8 questions were about riding history, behavior, and knowledge (see Appendix Afor full question
list). Demographics included city residence, age, and gender. Riding behavior questions included
trip origin, trip destination, trip motivation, and street versus sidewalk riding on users’ most recent
e-scooter trip. Open-ended responses were solicited related to changes that would enable street versus
sidewalk riding and to e-scooter staging. The survey was emailed the week of 24 September 2019 to
all registered Zagster users (~15,000) in Provo City. A total of 1070 users completed the survey, for a
response rate of 7.1%. All research procedures were performed in compliance with relevant laws and
institutional guidelines.
2.3. Data Analysis
Participant demographic characteristics (age, gender, and place of residence) were first calculated,
and descriptive variable statistics were then conducted for each item in the questionnaire. After verifying
statistical assumptions, chi-squared analyses were performed to determine variable dependent
relationships and equality of proportions between demographic characteristics and motivations
for riding, destinations, travel mode alternatives, and safety behaviors. Quantitative analysis was
performed using the R statistical software (R Foundation for Statistical Computing, Vienna, Austria) [
67
].
Two researchers used NVivo qualitative data analysis software to thematically code responses to the
open-ended survey questions [
68
]. These coded responses were then analyzed collectively by the full
research team to identify the most prominent emergent themes.
3. Results
The majority of respondents were 18–24 years old (56.2%), and 5% were under 18 years old.
More men than women completed the survey (63% vs. 37%). Roughly 95% of participants were
residents of Utah County (Provo City—85.0%, Utah County—11.9%) (Table 1).
Table 1. Participant demographics from e-scooter survey.
Age (Years) Total Frequency (%) Male Female
Under 18 53 (5%) 33 (4.9%) 19 (4.9%)
18–24 601 (56.2%) 357 (53.0%) 242 (62.1%)
25–34 212 (19.8%) 141 (20.9%) 71 (18.2%)
35–44 114 (10.7%) 83 (12.3%) 29 (7.4%)
45–54 62 (5.8%) 40 (5.9%) 22 (5.6%)
55–64 24 (2.2%) 17 (2.5%) 7 (1.8%)
65+4 (0.04%) 3 (0.4%) 0 (0.0%)
Total participants 1070 674 (63.0%) 390 (37%)
3.1. Motivations for Riding e-Scooters
The most frequently mentioned reason for riding e-scooters was “to have fun” (42.2%) followed
by “to save time” (32.3%) (see Table 2). Though “having fun” was the top reason for riding e-scooters
for both men and women, significantly more women (48.3%) reported riding for this reason compared
to men (39.1%) (
χ2
=12.3, df =1, p<0.001). Similarly, men were more likely to ride “to avoid parking
hassles” (14.8%) compared to women (9.0%) (χ2=10.3, df =1, p=0.001).
Int. J. Environ. Res. Public Health 2020,17, 6344 7 of 15
Table 2. Motivations for riding e-scooters.
Reason Total Count (%) Male Female College-Age Non-College-Age
To have fun 669 (42.2%) 401 (39.1%) 268 (48.4%) 345 (37.6%) 324 (49.4%)
To save time 512 (32.3%) 338 (32.9%) 174 (31.4%) 360 (39.2%) 147 (22.4%)
To avoid parking hassles
205 (12.9%) 152 (14.8%) 50 (9.0%) 120 (13.1%) 80 (12.2%)
For environmental
reasons 86 (5.4%) 57 (5.6%) 26 (4.7%) 34 (3.7%) 48 (7.3%)
Other 58 (3.66%) 44 (4.3%) 16 (2.9%) 24 (2.6%) 38 (5.8%)
To save money 54 (3.4%) 34 (3.3%) 20 (3.6%) 35 (3.8%) 19 (2.9%)
Total n=1584 1026 554 918 656
Note: This was a select-all-that-apply question.
College-aged (CA) persons aged 18–24 years old comprise the largest portion of e-scooter ridership
in Provo City (56.2%). While more non-CA persons (49.4%) than CA persons (37.6%) reported a
motivation for riding e-scooters was to have fun (
χ2
=21.35, df =1, p<0.001), more CA than non-CA
persons reported a motivation was to save time (39.2% compared to 22.4%;
χ2
=48.73, df=1, p<0.001).
3.2. Destinations of e-Scooter Riders
The most common destinations to which e-scooters are reportedly being ridden are “just riding
around for fun” (25.3%), home (20.0%), and dinning/shopping locations (17.1%) (see Table 3, a full table
is presented in Appendix A). There were no statistical gender dierences with respect to destination
with the exception of school; men tended to ride to school more (13.2%) than women (8.2%) (
χ2
=5.64,
df =1, p=0.02).
Table 3. Where e-scooters are being ridden by gender.
Destination Total Count (%) Male Female College-Age Non-College-Age
Rode for fun 269 (25.3%) 151 (22.4%) 118 (30.3%) 116 (19.4%) 153 (32.9%)
Home 213 (20.0%) 138 (20.5%) 75 (19.2%) 141 (23.5%) 72 (15.5%)
Dining/shopping 182 (17.1%) 112 (16.6%) 70 (17.9%) 92 (15.4%) 90 (19.4%)
Social gathering 170 (16.0%) 107 (15.9%) 63 (16.2%) 104 (17.4%) 66 (14.2%)
School 121 (11.4%) 89 (13.2%) 32 (8.2%) 102 (17.0% ) 19 (4.1%)
Work 84 (7.9%) 58 (12.9%) 26 (6.7)% 33 (5.5%) 51 (11.0%)
Public transit stop 25 (2.3%) 19 (2.8%) 6 (1.5%) 11 (1.8%) 14 (3.0%)
Total n =1064 n =674 n =390 599 465
The destinations of CA persons were dierent in many instances compared with non-college-aged persons. CA
persons were less likely to use the e-scooter when dining out/shopping (
χ2
=2.67, df =1, p=0.10; CA =15% vs.
non-CA =24%); to just ride around for fun (
χ2
=24.67, df =1, p<0.001; CA =19.4% vs. CA =32.9%); and, to work
(
χ2
=9.99, df =1, p=0.002; CA =5.51% vs. non-CA =10.97%). Conversely, they were more likely to ride home
(
χ2
=10.11, df =1, p=0.001; CA =24% vs. non-CA =18%); to school (
χ2
=42.23, df =1, p<0.001; CA =17.03% vs.
non-CA =4.09%); and to social gatherings (χ2=1.73, df =1, p=0.19; CA =17.4% vs. non-CA =14.2%).
3.3. Travel Mode Alternatives if Not Using an e-Scooter
The two most common modes of transportation that would have been used if e-scooters were not
available were walking (43.5%) and using a personal vehicle (28.5%) (see Table 4). The only statistical
dierence by gender was for bicycling, where men were more likely to use a bicycle if an e-scooter
were unavailable (5.2% vs. 1.9%) (χ2=6.16, df =1, p=0.01).
Int. J. Environ. Res. Public Health 2020,17, 6344 8 of 15
Table 4. Reported travel mode alternative to e-scooters.
Alternative Mode Total Count (%) Male Female College-Age Non-College Age
Bicycle 41 (4.0%) 34 (5.2%) 7 (1.9%) 17 (2.8%) 24 (5.5%)
Not taken trip 113 (10.9%) 50 (7.6%) 63 (16.7%) 52 (8.7%) 61 (14.1%)
Personal vehicle 294 (28.5%) 196 (29.9%) 98 (25.9%) 149 (24.9%) 145 (33.4%)
Pick up/drop o32 (3.1%) 22 (3.4%) 10 (2.6%) 11 (1.8%) 21 (4.8%)
Public transit 88 (8.5%) 59 (9.0%) 29 (7.7%) 61 (10.2%) 27 (6.2%)
Rideshare 9 (0.9%) 4 (0.6%) 5 (1.3%) 4 (0.7%) 5 (1.2%)
Walking 449 (43.5%) 284 (43.4%) 165 (43.7%) 302 (50.4%) 147 (33.9%)
Other 7 (0.7%) 6 (0.9%) 1 (0.3%) 3 (0.5%) 4 (0.9%)
Total 1033 655 378 599 434
Similar to trip destination, there were significant dierences between the 18–24-year-old CA and non-CA group.
As an alternative to e-scooters, CA persons were less likely to have used a bicycle (
χ2
=4.10, df =1, p=0.04;
CA =2.84% vs. non-CA =5.53%); to have not taken the trip (
χ2
=6.92, df =1, p=0.01; CA =8.68% vs.
non-CA =14.06%); to use a personal vehicle (
χ2
=8.59, df =1, p=0.003; CA =24.87% vs. non-CA =33.41%), and to
be picked up/dropped o(
χ2
=6.59, df =1, p=0.01; CA =1.84% vs. non-CA =4.84%). Conversely, CA persons
were more likely to use public transportation (
χ2
=4.57, df =1, p=0.01; CA =10.18% vs. non-CA =6.22%) and to
walk (χ2=27.37, df =1, p<0.01; CA =50.42% vs. non-CA =33.87%).
3.4. Awareness of and Compliance with Safety Regulations
Riding behavior was equally mixed between on the street (n =369, 34.6%), on the sidewalk
(n =357, 33.4%), and equal amounts of both (n =342, 32.0%). Sidewalk and street riding was associated
with gender in that men were more likely to ride on the street (
χ2
=11.01, df =1, p<0.001) and women
were more likely to ride on the sidewalk (
χ2
=3.01, df =1, p=0.08). There was no dierence between
genders who reported to ride equally on the street and sidewalk. Likewise, CA persons were less
likely to ride on the street (30.2% vs. 40.2%;
χ2
=11.20, df =1, p<0.001) and more likely to ride on
the sidewalk (38.3% vs. 27.0%;
χ2
=14.6, df =1, p<0.001). There was no dierence by age for those
who equally rode between sidewalk and street. The majority of respondents did not know that it is
illegal, according to Provo City code, to ride e-scooters on the sidewalk (n =691, 64.7%). There were
no dierences between genders but there were by age. College-aged persons were less likely to know
about the sidewalk riding code (31.6% vs. 40.6%; χ2=9.06, df =1, p=0.002).
3.5. Changes to Enable Safer On-Street (vs. Sidewalk) Riding
When asked what program changes would make them ride on the street rather than the sidewalk,
some participants (12%) reported that they would have ridden in the street if they had known that
it was acceptable to do so and/or they could be sure drivers were aware that they were allowed to
do so. Overwhelmingly, most of the respondents (74%) asked for the addition of bike lanes and/or
better constructed bike lanes throughout Provo. There were very few mentions of where the bike lanes
should be added. Most respondents use the adjectives “good”, “wider”, “improved”, “clearly marked”,
and “painted” when describing what was meant by better bike lanes. The next highest response called
for better roads; 16% of respondents said that Provo streets had potholes, narrow roads, bumpy streets,
and a lack of lane divisions. Reckless drivers and curbside parking—which blocks bike lanes, takes up
room on the shoulders, and pushes scooter riders further into the center of the road—were cited as
deterrents to riding othe sidewalk. When asked if there was anything else users wanted to mention
about the scooters, many of them (15%) simply stated that they enjoyed having scooters in the area.
4. Discussion
This study sought to consider the relationship between e-scooters and health by gaining a better
understanding of e-scooter users and their behaviors in Provo, UT. While e-scooters may aect health
in the various ways, whether they have a net positive or negative impact on health depends largely on
why and how people are riding them. Two-thirds of users who responded to the survey were men,
and over half were 18–24 years old. This age range is similar to what we would expect given the
age demographics of Provo where the median age is 23.6 and 44% of the population is between ages
Int. J. Environ. Res. Public Health 2020,17, 6344 9 of 15
20–29 [
63
]. While injury data from Provo has not yet been reported, previous studies in other cities
found that the majority of e-scooter injuries were among male millennials, the same demographic
group who make up the majority of e-scooter users in Provo [6,12,37,69].
User compliance with safety regulations is another important health-related factor addressed
by these data. Despite the Zagster policy requiring renters to be at least 18 years of age, 5% of all
respondents were under 18, which raises concerns about user safety and the ability of Zagster (and other
private e-scooter companies) to enforce its rider policies. Additionally, only 34.6% of users reported
complying with local law and riding exclusively on the street while the rest reported riding at least
partially on the sidewalk. While data from other cities is limited, a pilot e-scooter program in Portland,
OR found that the proportion of sidewalk riders varied greatly depending on street design—18% rode
on sidewalks with a 20 mph speed limit compared to 66% with a 35 mph speed limit, and 8% rode on
sidewalks if a protected bike lane existed compared to 39% where there were no bike facilities [
42
].
Riding on sidewalks is overall more dangerous for users and much more likely to lead to pedestrian
injuries as have been found in previous studies [
3
,
10
,
31
]. The finding that women were more likely
than men to avoid on-street riding is consistent with research on gender dierences in cycling behavior
that finds safety perception is a major factor [
70
,
71
]. The majority of users (64.7%) reported being
unaware that e-scooters were not permitted on sidewalks, which represents a higher proportion
of riders compared to the 43% of users in Rosslyn, VA who were not familiar with e-scooter laws
concerning sidewalk riding [
40
]. While the dierence between cities likely reflects that the e-scooter
program in Rosslyn had been active for a longer period of time, the lack of knowledge around laws
suggests that better educating users may be a first step in reducing unsafe riding behavior. Nearly 75%
of users in Provo mentioned in their open-ended responses that additional and improved bike lanes
would make it easier for them to ride on the street, which highlights another opportunity, albeit one
requiring a greater financial investment from the city, to create a safer environment for e-scooter users.
The data show that e-scooter users in Provo choose to ride for a variety of reasons. The top reason
given was to have fun (42.2%) and the top destination reported by users was “just riding around for fun”
(25.3%). However, a sizeable number of users also report riding e-scooters to commute to work (7.9%) or
school (11.4%) and for other purposes such as dining/shopping (17.1%) and traveling to social gatherings
(16%). These numbers are similar to those in Portland, OR where 28.6% of riders used e-scooters for
recreation or exercise while 71% used them to get to a destination [
42
]. Convenience appears to be an
important motivator as the second and third top reasons given for riding e-scooters in Provo were to
save time (32.3%) and to avoid parking hassles (12.9%). Interestingly, CA users were more likely to rent
e-scooters to save time than to have fun whereas non-CA users reported the opposite. CA users were also
more likely to ride to school and social gatherings while non-CA users were more likely to ride to dine
out/shop or commute to work. Our findings suggest that age is more influential on trip destination as
opposed to gender. A very small percentage of riders (2.3%) reported their destination as a public transit
stop, which may indicate that e-scooters in Provo are not necessarily delivering on the promise of solving
the “last mile” problem, although because the questionnaire asked specifically about the most recent trip it
is likely that some of the other riders were connecting from public transit. This is key question that should
be addressed through a different survey design in future research.
Given the variety of motivations cited for riding e-scooters, a critical question in terms of health
implications is: For which alternative modes of travel are e-scooters being substituted? The most common
response, given by 43.5% of users, was that they would have walked if an e-scooter had not been available;
among CA riders this percentage increased to 50.4%. Additionally, 4% of users reported riding e-scooters
instead of bicycling. Similarly, in Portland, OR 37% and 5% of e-scooter riders, respectively, would have
walked or biked instead of using an e-scooter, and in Raleigh, NC 49% of riders would have walked or
biked [
2
,
42
]. The most likely impact of these findings is an overall reduction in physical activity levels
because e-scooters are replacing more active forms of transportation. While this may be cause for concern
in terms of health, on the other hand, 29.4% of e-scooter users reported that they would have used a
personal vehicle or rideshare service (i.e., Uber, taxi) if an e-scooter had not been available. This number
Int. J. Environ. Res. Public Health 2020,17, 6344 10 of 15
is comparable to data from Rosslyn, VA (39%), Raleigh, NC (34%), and Portland, OR (34%) [
2
,
40
,
42
].
(In Portland, 6% of users even reported getting rid of a personal vehicle due to e-scooter availability [
42
].)
These rides represent fewer cars on the road and, in all likelihood, an overall reduction in local air pollution
and associated poor health. Additionally, the survey does not capture the possibility that the respondent
would have chosen a different destination entirely were an e-scooter not available. Given that e-scooters
are best designed for short trips in urban areas, it is possible that the avoided motor vehicle trips would
have been longer than their e-scooter substitutes. This finding is particularly relevant for Provo City,
a place with problematic winter air pollution and whose primary motivation for introducing e-scooters
was to provide a green alternative to motor vehicles; yet, considering disposability issues and emissions
due to collecting and placement of e-scooters, important questions remain about the full environmental
impact and its implications for health.
Based on the findings of this study, there are several policy change strategies that could help
optimize the heath impacts of e-scooter share programs in Provo and in other cities. First, to reduce the
probability of injuries, more training and strategically placed educational information (e.g., signs posted
in high trac areas) should be provided to increase users’ knowledge about safety precautions
(e.g., avoiding sidewalks, safe parking) and users’ e-scooter operating skills. Considering the shared
road space, information should also be provided to help drivers, cyclists, and pedestrians be more
aware of e-scooter riders.
Second, as evidenced by ridership among children, there is an enforcement gap in Zagster’s ability
to enforce safety policies. Similarly, although this study did not explicitly explore helmet use, informal
observation on the streets of Provo suggest that helmet use is extremely rare among e-scooter users,
which is consistent with other studies [
7
,
10
,
33
]. To improve safety, cities should work with private
e-scooter companies to identify ways, which may include the passing of additional local ordinances, to
identify violations and enforce policies.
Third, for e-scooters to experience long term success it is clear that bike lines and other infrastructure
must continue to improve. When asked about possible improvements that would encourage them to
ride on the street, the vast majority stated designated lanes would be most helpful (n =787). Enhanced
education and training alone will likely be ineective without a more conducive riding environment,
which should be a priority for city decision makers concerned with improving safety
Fourth, while a sizeable proportion of users are substituting e-scooters for personal vehicles,
there are still negative environmental impacts that should be considered and minimized. Zagster
recently introduced a new, more durable model of e-scooter to Provo City streets, and city policymakers
should continue to push for e-scooters that have longer durability. They should also work with Zagster
to ensure low-emissions vehicles are used for collecting and placing e-scooters, and that the routes
driven for these tasks are as short as possible.
Finally, cities should consult regularly with community members—those who use e-scooters
and those who do not—to understand the impacts of e-scooters on community severance and social
interactions, particularly among marginalized populations.
This study makes a significant contribution to the literature by applying an existing health impact
framework and proposing a range of linkages between health and e-scooters, a rapidly emerging
public health issue for which previous studies have focused almost exclusively on injuries. The study
also reports data from a relatively large sample of e-scooter users on their self-reported behavior,
which is scarce in the academic literature, that serve as starting point for understanding how population
health may be impacted by e-scooters. These data led to concrete, valuable recommendations for
policymakers in Provo and other places, especially mid-sized cities, which are currently grappling with
instituting appropriate policy responses for the variety of issues that come with e-scooter programs.
Some critical limitations should be noted. First and foremost, while this study considered linkages
between e-scooters and health, its findings do not directly address the health impact of e-scooters on
Provo residents. Even where it adds value in terms of providing a clearer picture of why and how
e-scooters are being used, it omits key demographic variables (e.g., race/ethnicity, income, etc.) that are
Int. J. Environ. Res. Public Health 2020,17, 6344 11 of 15
essential for understanding some of the connections between e-scooters and health (e.g., community
severance). Finally, the survey used is potentially problematic because it represents a single point
in time shortly after e-scooters were introduced in Provo. It also asks only about users’ most recent
trip and it relies on responses from a small, non-representative sample of registered Zagster users,
which may be a source of bias if those who elected to respond to the survey have dierent patterns of
behavior than those who did not respond. The use of an online survey may also lead to bias by selecting
for younger, internet-using adults; however, this is not a major concern because these respondents are
also the most likely to be e-scooter users.
5. Conclusions
e-Scooters are a nascent public health issue that positively and negatively aect health in a number
of ways, including through injuries, air pollution levels, physical activity levels, and community
severance. To understand the full impact of e-scooters on health we need to gain a thorough
understanding of e-scooter users and their patterns of use. This study found that in Provo, UT e-scooter
users are predominantly male, college-aged individuals who ride e-scooters for a variety of reasons,
the top being for recreational purposes. Most users were unaware of laws prohibiting e-scooters
from sidewalk riding, which led to two-thirds of users riding at least part of the time on sidewalks.
About half of users would be walking or riding bicycles if e-scooters were not an option, while about
one-third would be driving a personal vehicle. Thus, e-scooters in Provo are likely having both positive
and negative impacts on health. Future research, perhaps in the form of a health impact assessment,
should be designed explicitly to examine the linkages between e-scooters and areas of health beyond
just injuries, e.g., by focusing on community severance among marginalized communities or on users’
physical activity levels. Research is also needed to evaluate the impact of policies and interventions
designed to reduce e-scooter related injuries. Thoughtful, evidence-based implementation of e-scooter
programs is critical to ensuring a future net positive benefit to public and community health.
Author Contributions:
Conceptualization, J.G., G.S.M., and R.A.C.; methodology, A.T.; formal analysis, M.B.,
M.C., J.P., and R.A.C.; investigation, A.T.; writing—original draft preparation, J.G.; writing—review and editing,
J.G., M.B., M.C., J.P., A.T., G.S.M., and R.A.C.; visualization, G.S.M. and R.A.C.; supervision, J.G. and R.A.C.; project
administration, J.G. and R.A.C. All authors have read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
Appendix A —Zagster Rider Survey Questions
1. On your last trip, why did you choose to ride a scooter?
2.
On your last trip, what mode of transportation would you have taken had a scooter not
been available?
3. On your last trip, where did you ride to?
4. On your last trip, where did you ride from?
5. On your last trip, where did you primarily ride?
6. If you rode on sidewalks, why did you choose to do so?
7.
Did you know that Provo City Code 9.15.200 prohibits riding on sidewalks? (Don’t worry, we
won’t tell on you.)
8. What changes would make you want to ride in the street instead of the sidewalk?
9. Where should scooters be staged in the morning that they aren’t currently?
10.
Anything else you’d like to tell us?
11.
What city do you live in?
12.
What is your age?
13.
What is your gender?
Int. J. Environ. Res. Public Health 2020,17, 6344 12 of 15
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... Cities worldwide have implemented shared e-scooter schemes, intending to enhance mobility, provide first-last mile connectivity to existing public transport whilst decreasing private car use and consequently reducing road congestion and carbon emissions (Liao and Correia, 2022;Huang et al., 2024). Since their introduction in 2017, shared e-scooters (electric, two-wheeled vehicles with a standing deck and handlebars) have gained international popularity, with a consensus among users that e-scooters are time-efficient, cost-saving, environmentally friendly, and alleviate parking burdens (Bozzi and Aguilera, 2021;Zhu et al., 2020;Glenn et al., 2020). However, the perceived positive environmental impact of shared e-scooter schemes has been questioned, with evidence suggesting an energy-intensive manufacturing process, short lifespan (between 45 days and 2 years), and the need for additional transport for their redistribution and charging (Reis et al., 2023;Bozzi and Aguilera, 2021;Hollingsworth et al., 2019) results in a negative environmental impact. ...
... In addition, reports have attempted to link e-scooters and active transport, forming a narrative they might align with some physical benefit (Glenn et al., 2020). However, such claims are unfounded, with the PA, health and well-being implications of e-scooters yet to be adequately explored. ...
... Pilot scheme evaluations report over 30% of the population have used an e-scooter, with around 9% considered regular users (Sanders et al., 2020). This is particularly pertinent as up to 51% of e-scooter users have been shown to use e-scooters as a feeder vehicle to link with public transport (Li et al., 2024), however numerous studies examining usage habits report that e-scooter users would have walked their journey if an e-scooter was unavailable (Chang and Miranda-Moreno, 2019;Christoforou et al., 2021;Glenn et al., 2020;Kopplin et al., 2021;Sanders et al., 2020). This highlights a potential conflict between EMM as a sustainable transport solution and promoting PA. ...
Article
Introduction: E-scooters have been adopted into the urban transportation network as a convenient, environmentally friendly, and low-cost mode of transportation intended to reduce vehicle dependence over short distances. However, there is a concern that e-scooters displace active modes of transport such as walking and therefore have the potential to negatively impact physical activity (PA), health and well-being. Currently, limited evidence exists to accurately quantify energy expenditure, and physiological and psychological responses to an acute bout of e-scooter riding. Methods: This study compared a 15-minute bout of e-scooter riding to time-matched resting and walking conditions using a randomised crossover trial conducted in a controlled laboratory setting. The resting condition was performed in a supine position, and both e-scooter and walking were performed on a motorised treadmill. Cardiorespiratory measures were recorded for each condition using online gas analysis, and the metabolic equivalent of task (MET) minutes were used to determine energy expenditure. Subjective experience was also measured post-walking and e-scooter conditions. Results: 15 minutes of walking yielded significantly greater MET minutes (55 ± 7 MET-min) compared to both resting (15 ± 4 MET-min, P < 0.001, d = 7.38) and e-scooter (24 ± 6 MET-min, P < 0.001, d = 5.18) conditions. Psychological well-being was significantly greater (P < 0.001, d = 0.648) following walking (19.2 ± 4.1) compared to e-scooter (17.1 ± 4.5). Psychological distress (P = 0.40) was significantly lower post-walking (5.0 ± 1.8) compared to e-scooter (5.8 ± 2.6). Conclusion: In a controlled laboratory environment, riding an e-scooter resulted in significantly less energy expenditure and elicited an unfavourable psychological response compared to walking. Regular e-scooter use could displace PA participation and increase physical inactivity with resultant negative health consequences. PA engagement and health guidelines should be considered in the strategic development of electric micro-mobility transportation.
... Although there are reports of pedestrians being struck by escooters, injuries to pedestrians are often a result of improperly parked e-scooters, leading to obstructions in traffic/pedestrians right of way (Bloom et al., 2021;Carrese, D'Andreagiovanni, Nardin, Giacchetti, & Zamberlan, 2021;Hardinghaus & Oostendorp, 2023;James, Swiderski, Hicks, Teoman, & Buehler, 2019;Maiti, Vinayaga-Sureshkanth, Jadliwala, & Wijewickrama, 2019). Riding against the flow of traffic, weaving through traffic, tandem riding, riding in prohibited areas, and blocking the passage of people with disabilities and other pedestrians by disorderly parking of e-scooters are among the illegal behaviours frequently reported in the literature (Bai et al., 2015;Glenn et al., 2020;Graef et al., 2021;Liao & Correia, 2020;McKenzie, 2019;Siebert, Ringhand, et al., 2021;Ventsislavova et al., 2024). Riding e-scooters while being engaged in secondary tasks (e.g., wearing headphones or earphones, using a phone in hand, eating, drinking, smoking) is positively associated with traffic rule violations and at-fault accidents, and negatively correlated with safety equipment use (Huemer et al., 2022). ...
... For example, an e-scooter driver monitoring system can be used to detect when e-scooter riders are unstable, unfocused or distracted when riding (Kim, Ryu, Oh, & Kang, 2022). Since limited awareness of rules and low-risk perception may lead to such risky rider behaviour, simple interventions have been proposed, such as pre-ride free training sessions (Brunner, Locken, Denk, Kates, & Huber, 2020;Glenn et al., 2020) and warning messages on smartphone screens before unlocking the app (Smit, Graham, & Erasmus, 2021). Many leading e-scooter companies provide users with information about traffic regulations and safety precautions prior to starting their trips. ...
... Understanding the relationship between the purpose of a trip and risky behaviours is also essential for developing effective accident V. Mehranfar and C. Jones Transportation Research Part F: Psychology and Behaviour 107 (2024) 321-382 prevention interventions. According to the literature, the primary motivations for riding an e-scooter are often "to have fun" and "to save time," closely followed by "social reasons" and "commuting to/from work" (Cicchino et al., 2021a;Glenn et al., 2020). The existing literature on injury analysis, primarily informed from medical records, reveals a noticeable lack of reporting on the purpose of trips among injured riders. ...
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The proliferation of e-scooters in urban spaces has introduced safety concerns despite their potential to reduce traffic congestion and provide an environmentally friendly solution for short-distance trips. This study consolidates existing knowledge on e-scooter safety through a systematic literature review of 168 academic studies and grey literature, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Our primary objective is to identify the key e-scooter safety concerns from existing literature, together with the strategies stakeholders use to address these concerns, and highlight areas for further research. . The literature shows that e-scooter riders are commonly injured in single-vehicle incidents, with a clear association between severe injuries and violations of traffic rules such as speeding and alcohol consumption. Frequently recommended safety measures include separating e-scooters from pedestrians, instituting licensing and mandatory training, and enforcing helmet usage and zero alcohol consumption. On top of that, clear legislative definitions for e-scooters ease and improve enforcement, and setting technical requirements for e-scooter design can improve stability, handling performance, and reduce incidents. Understanding the differences between user types and the underlying factors influencing risky behaviour is crucial for developing effective interventions. Users of shared schemes often lack knowledge of rules and have poorer riding skills, possibly due to their less frequent use. Conversely, private e-scooter owners pose enforcement challenges for speeding and prohibited riding, as these scooters lack geofencing and tracking capabilities often found in shared scheme escooters. Helmet non-use, where mandatory, is attributed to a lack of support from riders for increased law enforcement and a low perception of risk rather than a lack of knowledge about the laws. Similarly, illegal sidewalk riding is linked to factors of comfort and convenience rather than infrastructure preference or unawareness of illegality. Proactive measures that are user-based, time-based, and location-based require further investigation. Consistently collecting and analysing data informs region-specific safety decisions and allows policymakers to monitor safety risks over time and assess intervention effectiveness, which are largely absent in current literature.
... Kopplin et al. (2021) found that perceived enjoyment has a significant impact on usage intention, emphasizing that a large proportion of users view e-scooters as a fun mode of transportation. In fact, studies have shown that many users primarily use electric scooters for recreational purposes (Glenn et al. 2020). While e-scooters have practical applications, such as commuting to work, riding them also offers an enjoyable recreational activity (Ratan et al. 2021). ...
... In the context of bicycle and electric scooter services, perceived green value is based on environmental care awareness (Glenn et al. 2020). Green products and services are attractive to environmentally concerned consumers, and previous studies have investigated the effect of environmental concerns on green product consumption, paying particular attention to the mediating role of perceived behavioural control, subjective norms, and perceived usefulness (Salimi 2019). ...
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Micro-mobility modalities, such as electric scooters and shared bicycles, have gained popularity as urban transport alternatives due to their contribution to environmental care, ease of use, and convenience. There is a growing interest in understanding the adoption and loyalty towards these services, with special attention to gender differences in their use. Therefore, this study aims to identify the factors that determine loyalty in the use of electric bicycles and scooters among women. To achieve this, a survey was conducted among 254 women residing in the Aburra Valley Metropolitan area, in the Antioquia, Colombia department. An integrated model combining the Theory of Planned Behaviour (TPB) and the Technology Acceptance Model (TAM) was established. The analysis used a Partial Least Squares Structural Equation Model (PLS-SEM). The results validated the structure of the model and revealed that only two factors significantly influence loyalty: perceived green value and perceived enjoyment. Perceived usefulness, perceived control, and subjective norm did not prove to be relevant for loyalty. Additionally, a strong relationship was found between consumer innovativeness and women's perceived green attitude, the latter being a key factor positively affecting perceived green value. This study contributes to the existing literature by providing a deeper understanding of the factors influencing women's loyalty to electric bicycle and scooter use from a gender perspective in an emerging economy.
... Service providers, policymakers, and local government officials should prioritize scientific and strategic studies, considering forecasts that suggest the shared e-scooter market will reach USD 42 billion by 2030 [93]. Optimization between shared e-scooter operational models and the study area is crucial. ...
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In recent years, shared e-scooters have become increasingly popular as a mode of transportation in urban areas. Shared e-scooters have emerged as a convenient and sustainable transportation option in urban areas, providing users with a flexible and efficient way to travel short distances within a city. Many service providers and local municipalities are interested in implementing shared e-scooter operational models. However, determining which operating model to prefer and what the service areas will be is a significant problem. We aimed to solve the implementation of three different operational models, the site selection problem of station locations, and service areas for Erzurum, the metropolitan city in this study. As shared e-scooter is quite a new transportation mode; information collected to assess the operational models’ sustainability performance may be indeterminate and vague. In this study, the Geographic Information System (GIS)-based hybrid multi-criteria decision-making (MCDM) method is proposed for the solution of implementation, site selection, and service areas problems of three different shared e-scooter operational models. To this end, a four-step scientific and strategic solution approach is developed: (i) the identification and detailed explanation of 5 main and 24 sub-criteria, (ii) the weighting of criteria through the Analytical Hierarchical Process (AHP), Multi-Influencing Factor (MIF), and Best–Worst Method (BWM) in order to increase the sensitivity and robustness of the study, (iii) obtaining a suitability map for the solution of implementation, site selection, and service areas problems of operational models, and (iv) assigning shared e-scooter stations and analyzing their performance levels with COmplex PRoportional ASsessment (COPRAS). The results show that, in Erzurum, the central three districts are the most suitable for service areas. The paper’s solution methodology can help service providers and policymakers invest in sustainable shared e-scooter operational models, even in situations of high uncertainty.
... Given our findings, we suggest a potential need for targeted interventions, such as safety education campaigns specifically tailored to this age demographic. This would not only potentially reduce e-scooter crashes, but would encourage persons to remain physically activeas some research has pointed to a possible link between active travel and e-scooter mode-choice (Glenn et al., 2020). In terms of vehicle-related factors, we unsurprisingly discovered that females were negatively associated with severe/fatal crashes. ...
Article
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Introduction: Electric-powered scooters (E-scooters), as an emerging sustainable micromobility mode, are increasingly popular. However, safety concerns regarding the use of e-scooters are also rising. For example, in 2022, 1,492 casualties resulting from e-scooter-involved crashes were observed in 24 trial areas across the UK. To enhance the understanding of e-scooter riding risks, this study conducted a nationwide crash analysis using a UK dataset. It explores the spatial and environmental contexts of e-scooter crashes and the factors influencing crash severity. Method: A comprehensive approach, including exploratory data analysis, latent class analysis (LCA), chi-square test, and logistic regression model, were employed. Results: Findings revealed distinctive spatiotemporal patterns in e-scooter crashes compared to overall crashes, with a higher incidence in deprived communities. Three crash typologies were identified using LCA: night-time, morning, and information-deficient. Multiple demographical and environmental factors were found to influence crash severity. Conclusions: Compared to overall crash trends, e-scooter crashes are more prevalent in urban areas with high population density and exhibit distinct peak patterns in the afternoon. Night-time crashes in low-light conditions and morning crashes with ample daylight are two significant crash clusters. Factors such as the involvement of riders aged 45 to 65 (Odd Ratio [OR] = 1.76) or > 65 (OR = 3.61), crashes occurring at late night/early morning (OR = 2.29), and rural locations (OR = 1.72) increased e-scooter crash severity compared to their respective reference groups. Moreover, highly deprived communities not only experience a higher number of e-scooter crashes but also contribute to crash severity. Practical Applications: This study underscores the necessity for targeted interventions, such as providing safety campaigns and training programs for older individuals and e-scooter users residing in dense urban areas. It also highlights the need for policies that address inequities, particularly through improved infrastructure and enforcement in lower-income urban areas with more e-scooter crashes.
... 10 Electric scooters replace walking or biking for the last mile of a journey, 11 potentially reducing the overall physical activity of the population. 12 The introduction of large low-emission zones (ZFE), where vehicle speeds are limited to 30 km/hour, is a new incentive to use PMDs. The COVID-19 pandemic has increased the use of PMDs, particularly by encouraging social distancing. ...
Article
Introduction According to the 2018–2019 People Mobility Survey, work-related journeys (commuting and on-duty journeys) account for approximately 25% of all journeys. The use of non-motorised (nm) and motorised (m) personal mobility devices (PMDs) has steadily increased since their introduction into the French market in the last decade. Objective This study aimed to describe the characteristics of work-related road accidents and their evolution since the introduction of new PMDs in France and the increase in the use of scooters. Materials and methods This was a retrospective, cross-sectional study using data from the Rhône Road Trauma Registry. Data were collected from 2015 to 2020. We included the data for the victims aged 18–70 years who were injured in work-related road accidents. Results We identified 11 296 individuals aged 18–70 years who experienced work-related road accidents. An injury report was provided for a total of 11 277 patients. A total of 546 passengers and 78 drivers of other motorised vehicles (buses/trams, construction equipment and tractors) were excluded from the analysis. Seven patients died at the time of the accident and seven died after hospitalisation. Of the 10 653 (94.4%) victims, there were pedestrians (5.1%) or riders of bicycles (16.9%), scooters (3.8%), other PMDs (roller blades, skateboards, monowheels, gyropods and hoverboards; 0.4%) and motorised two wheelers (21.4%), or drivers of car (45.3%), and truck (1.5%). More than half of the scooter riders and 80% of other PMD riders were men. More than 60% of other PMD riders and 53% of scooter riders were under 34 years of age. Most scooter road accidents occurred during commuting (95.6%). 65% of the scooter accidents and 50% of other PMD accidents did not have opponents. Overall, one-quarter of the victims experienced accidents without opponents. Most scooter riders had injuries to their upper limbs (59.2%), lower limbs (46.8%), face (21.2%) or head (17.9%). Discussion This original study on work-related road accidents allowed us to characterise the increase in work-related road accidents associated with new modes of travel, particularly scooters. The results observed for users of scooters and other PMDs in this study were generally consistent with those found in the scientific literature. Despite limited data, the results suggest that accidents involving scooters or other PMDs are of low severity. Conclusion Many head injuries could be prevented with more widespread use of helmets, among scooter and other PMD users and bicycle users.
... Shared E-scooters, as representative micro-mobility vehicles, have been widely used in cities around the world for their compactness, mobility, easy maneuverability, and adaptability to urban environments [6], which can bring convenience and efficiency to urban travel by saving travel time and reducing traffic congestion [7][8][9]. This trend is expected to continue growing, driven by increasing demand in urban areas [10,11]. ...
Article
Full-text available
The proliferation of shared electric scooters (E-scooters) has brought convenience to urban transportation but has also introduced challenges such as disorderly parking and an imbalance between supply and demand. Given the current inconsistent quantity and spatial distribution of shared E-scooters, coupled with inadequate research on deployment stations selection, we propose a novel maximal covering location problem (MCLP) based on distance tolerance. The model aims to maximize the coverage of user demand while minimizing the sum of distances from users to deployment stations. A deep reinforcement learning (DRL) was devised to address this optimization model. An experiment was conducted focusing on areas with high concentrations of shared E-scooter trips in Chicago. The solutions of location selection were obtained by DRL, the Gurobi solver, and the genetic algorithm (GA). The experimental results demonstrated the effectiveness of the proposed model in optimizing the layout of shared E-scooter deployment stations. This study provides valuable insights into facility location selection for urban shared transportation tools, and showcases the efficiency of DRL in addressing facility location problems (FLPs).
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Bu çalışma, elektrikli skuterlerin şehir ekosistemine katkılarını değerlendirmek amacıyla Bulanık Analitik Hiyerarşi Prosesi (AHP) yöntemini kullanarak e-skuterlerin; çevresel etkileri, şehir yaşamına katkıları, güvenlik, sağlık, ekonomi ve kentsel peyzaj kriterleri çerçevesinde analiz etmeyi amaçlamaktadır. Araştırmada öncelikle literatür taraması yapılarak e-skuterlerin şehir ekosistemine etkilerini belirleyen kriterler ve alt kriterler tespit edilmiştir. Bu kriterler Bulanık AHP yöntemi kullanılarak sistematik ve analitik bir bakış açısıyla değerlendirilmiştir. Çalışmanın bulguları, çevresel etkiler ve şehir yaşamına katkılar kriterlerinin en yüksek ağırlık değerlerine sahip olduğunu göstermektedir. E-skuterlerin karbon emisyonlarını azaltarak hava kalitesini iyileştirme ve trafik yoğunluğunu azaltma potansiyeline sahip olduğu belirlenmiştir. Ayrıca, e-skuterlerin fiziksel aktiviteyi teşvik ederek bireylerin sağlığını olumlu yönde etkilediği ve şehir estetiğine katkı sağladığı ortaya konmuştur. Çalışmanın sonuçları, e-skuterlerin çevresel sürdürülebilirlik ve şehir yaşamına olan olumlu katkılarının önemli olduğunu göstermektedir. Şehir plancıları ve karar alıcılar için e-skuterlerin kullanımının teşvik edilmesi, şehirlerin daha yaşanabilir, sürdürülebilir ve sağlıklı hale gelmesine yardımcı olabilir. Çalışma, elektrikli skuterlerin uzun vadeli etkilerini ve kullanımını optimize edecek politikaların geliştirilmesine yönelik öneriler sunmaktadır.
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This study applies a life cycle assessment (LCA) to the shared dockless standing e-scooter system that is established in Brussels. The results are given for four impact categories: global warming potential (GWP), particulate matter formation, mineral resource, and fossil resource scarcity. Regarding GWP, the use of the shared e-scooters in the current system causes 131 g of CO2-eq. per passenger-kilometer while the mode of transportation displaced has an impact of 110 g of CO2-eq. Thus, at present, the use of e-scooters shows a higher impact than the transportation modes they replace. The high results for the shared e-scooter, in terms of GWP, are mainly caused by the short lifespan of the shared e-scooter. Nevertheless, as the market further matures, the lifespan of e-scooters could increase and the impact per kilometer travelled could decrease accordingly. Regarding the use of the personal e-scooter, the LCA results show an impact of around 67 g of CO2-eq. This study quantifies the LC impacts of the current situation based on local, ‘real-life’ data. However, potential changes on soft mobility patterns induced by the use-oriented product-service system (PSS), such as a shared e-scooter system, could not be quantified.
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Objective To analyse injuries related to manual and electric scooter use from January 2016 up to and including July 2019. Setting Electric scooter rental services were launched in Denmark in January 2019. The services were provided by private companies. Although rules for handling and riding scooters have been established, no reports either before or after introduction of electric scooters anticipated the full extent of use, and injuries to riders and pedestrians. Participants All patient records mentioning manual or electric scooters. Records were reviewed, and data were stratified according to two groups: manual and electric scooters. Interventions A predefined survey was completed in all cases where ‘scooter’ was present. This contained variables such as type of scooter, type of participant, mechanism of injury, acuity, intoxication, referral to treatment facility. Outcome measures Among incidents involving scooters, summary statistics on continuous and categorical variables of interest were reported. Results 468 scooter-related injuries were recorded. We found that manual scooter riders were more likely to be children under the age of 15; fall alone—involving no other party; sustain contusions, sprains and lacerations; and bruise either their fingers or toes. Riders of electric scooters were likely to be 18–25 years, sustain facial bruising and lacerations requiring sutures, and be under the influence of alcohol or drugs. Non-riders of electric scooters were mostly elderly people who tripped over scooters, consequently sustaining moderate to severe injuries. Conclusion There were two different types of population sustaining injuries from manual and electric scooters, respectively. The proportion of non-riders injured by electric scooters were surprisingly large (17%), and while electric scooters are here to stay, several apparently preventable injuries occur as a result of reckless driving and discarded electric scooters. Current rules for usage might not prevent unnecessary accidents and secure traffic safety and the lives of older individuals.
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Since 2018, pedestrians in many U.S. cities have been sharing sidewalk space with dockless shared e-scooters. The introduction of e-scooters has received pushback from pedestrians. Complaints reported in the media include e-scooters blocking walkways and sidewalks when parked illegally as well as safety concerns from pedestrians who do not feel safe around moving e-scooters. However, little is known beyond a few initial studies on e-scooter parking and anecdotes about pedestrian perceptions of e-scooter safety. Our case study from Rosslyn, Virginia, helps shed light on these two issues. First, we conducted a survey of 181 e-scooter riders and non-riders asking about their perceived safety around riders of e-scooters and experiences of sidewalks blocked by e-scooters. We found highly divergent responses about safety and sidewalk blocking perceptions from riders and non-riders. Second, we conducted an observational study of 606 parked e-scooters along three mixed-use corridors in Rosslyn to investigate the relationship between the built environment and e-scooter parking. We found that 16% of 606 observed e-scooters were not parked properly and 6% (36 e-scooters) were blocking pedestrian right-of-way. Moreover, our survey showed that e-scooter trips in Rosslyn replaced trips otherwise taken by Uber, Lyft, or a taxi (39%), foot (33%), bicycle (12%), bus (7%), or car (7%).
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Introduction Since their release in 2017, standing electric motorized scooters (eScooters) have risen in popularity as an alternative mode of transportation. We sought to examine the incidence of injury, injury patterns, prevalence of helmet and drug and alcohol use in eScooter trauma. Methods This was a multi-institutional retrospective case series of patients admitted for injuries related to operation of an eScooter following the widespread release of these devices in September 2017 (September 1, 2017 to October 31, 2018). Demographics, drug and alcohol use, helmet use, admission vitals, injuries, procedures, hospital and intensive care unit length of stay (LOS), death, and disposition were analyzed. Results 103 patients were admitted during the study period, and monthly admissions increased significantly over time. Patients were young men (mean age 37.1 years; 65% male), 98% were not wearing a helmet. Median LOS was 1 day (IQR 1–3). 79% of patients were tested for alcohol and 48% had a blood alcohol level >80 mg/dL. 60% of patients had a urine toxicology screen, of which 52% were positive. Extremity fractures were the most frequent injury (42%), followed by facial fractures (26%) and intracranial hemorrhage (18%). Median Injury Severity Score was 5.5 (IQR 5–9). One-third of patients (n=34) required an operative intervention, the majority of which were open fixations of extremity and facial fractures. No patients died during the study. The majority of patients were discharged home (86%). Conclusion eScooter-related trauma has significantly increased over time. Alcohol and illicit substance use among these patients was common, and helmet use was extremely rare. Significant injuries including intracranial hemorrhage and fractures requiring operative intervention were present in over half (51%) of patients. Interventions aimed at increasing helmet use and discouraging eScooter operation while intoxicated are necessary to reduce the burden of eScooter-related trauma. Level of evidence Level IV.
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The popularity of rideshare electric scooters is due to their availability, accessibility, and low cost. The recent increase in electric scooter use has raised concerns regarding the safety of both riders and pedestrians. Previous studies characterize the incidence and pattern of injury for riders, but there is a lack of literature concerning electric scooters' impact on pedestrians. Pedestrians injured by electric scooters face potential financial burdens from hospitalization costs, medical interventions, taking time off from work, and rehabilitation therapies. Based on prior studies, pedestrians who are most prone to injuries sustained by pedestrian transportation include individuals with vision and/or hearing impairment, young children, the elderly, and people distracted by mobile devices. We present a case involving a sixty-year-old female pedestrian who presented to the emergency department with an acute lumbar compression fracture after a collision with an electric scooter. This study highlights the safety risks and incidence of injuries for pedestrians associated with electric scooters, which can help shape public policy to ensure the safety of both riders and pedestrians.
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Objective: The proliferation of electric scooter sharing companies has inundated many municipalities with electric scooters. The primary objective of this study is to characterize the epidemiology of injuries from this new mode of transportation in order to inform injury prevention efforts. Methods: A multicenter, retrospective study was conducted at two level 1 trauma centers in an urban setting. Patients seen in the emergency department from September 4, 2018 to November 4, 2018 were included if injury coding and chart review identified a scooter-related injury. Demographics, injury patterns, and other injury related factors were obtained via chart review. Results: Ninety-two patients were identified over the study period in 2018 with electric scooter-related injuries. Of the patients utilizing an electric scooter; none used protective gear and 33% used alcohol prior to presentation. More than 60% of patients required medical intervention including laceration repair (26%), fracture reduction (17%), operative fixation of a fracture (7%), or arterial embolization for an associated arterial injury (1%). Approximately 10% of patients required inpatient admission and one required an admission to the intensive care unit. Conclusion: We found a substantial increase in the number of scooter-related injuries during the first two months of electric scooter legalization. There was a lack of safety equipment utilization and concomitant alcohol utilization was common. These may offer areas of focus for injury prevention efforts. Additionally, standardization of injury coding for electric scooter related injury is critical to future studies and will help better understand the impact of this new mode of transportation.
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Background: To decrease vehicular traffic in major metropolitan cities throughout the United States, multiple ridesharing companies have launched dockless electric scooters and bicycles throughout cities. From September 2017 through November 2018, Washington, DC, launched a 15-month dockless vehicle pilot program to allow for the rapid entry and growth of electric scooters within the metropolitan area. This rapid growth resulted in a number of minor and significant injuries. Case description: We reviewed the electronic medical record of The George Washington University Hospital to investigate and characterize the types of electric scooter-related injuries resulting in neurosurgical consultation in the 15-month period of the Washington, DC, scooter pilot program. Thirteen patients sustained injuries serious enough to merit neurosurgical consultation, including 1 patient whose symptoms required procedural intervention by a neurointerventional radiologist and another patient who was pronounced dead soon after arrival to the hospital. Conclusions: In this case series, we highlight more severe injuries that resulted in hospitalization or intervention, including skull fracture, central cord syndrome, and vertebral compression fracture. This case series aims to illustrate the potential severity of injuries related to electric scooters, raise awareness on the issues of safety and public health, and call for further investigation into injuries relating to electric scooters.