Sicheng WangUniversity of South Carolina | USC
Sicheng Wang
Ph.D. in Planning & Public Policy / M.A. / B.Eng
Assistant Professor in the Department of Geography, University of South Carolina
About
39
Publications
7,293
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
727
Citations
Introduction
I received Ph.D. in Planning and Public Policy from Rutgers, The State University of New Jersey. My primary research interest is to understand the mechanism and impact of new transportation technologies and shared mobility and providing policy implications for a more sustainable transportation system in the future.
See my website: http://www.sichengwangsicheng.com/
Additional affiliations
January 2020 - present
Publications
Publications (39)
We contribute to the literature on new mobilities by measuring spatial disparities in travel times for accessing essential non-work destinations via ridehailing. We focused on healthcare, restaurants, and grocery destinations in Chicago. Data from Chicago ridehailing providers, which included detailed information about all realized ridehailing trip...
The lack of detailed occupational employment data at more granular geographic levels presents significant challenges in forecasting and analyzing local and regional employment changes in the era of the new technological revolution. This study aims to develop detailed occupational employment data by downscaling state-level employment information to...
Automated vehicle (AV) adoption is anticipated to affect millions of motor vehicle operators, including gig drivers (platform-based ride-hailing and/or delivery drivers). The multidisciplinary body of research investigating worker attitudes towards automation suggests disadvantaged workers are more likely to fear automation status. Gig drivers may...
Urban parks are essential to maintaining healthy, livable, and sustainable cities. It is vital to ensure urban parks serve the communities equally, particularly during the pandemic and for traditionally disadvantaged groups. This study examined how the COVID-19 pandemic changed urban dwellers’ visitation patterns to urban parks and assessed whether...
Enhancing the resilience of urban non-motorized mobility amid rising temperatures is crucial, yet there is a lack of empirical evidence in this field. This study examines the urban mobility resilience under extreme heat events, focusing on New York City's bike-sharing system. Utilizing the clustering method and spatial probit regression, we explore...
New York City has enacted laws restricting ridesourcing services. This study investigates these regulations' impact on traffic using street-level speed records. We used a regression discontinuity design to compare weekly traffic speeds immediately before and after regulations. We find that the for-hire-vehicle driver application freeze, implemented...
The COVID-19 pandemic has impacted ridesourcing services dramatically, but empirical research on disparities in the resilience and recovery of ridesourcing has been scarce. To address this literature gap, we used ridesourc-ing trip data in Chicago to create two time series: one for Census tract-level ridesourcing usage (including pickups and dropof...
Background
The fast-changing labor market highlights the need for an in-depth understanding of occupational mobility impacted by technological change. However, we lack a multidimensional classification scheme that considers similarities of occupations comprehensively, which prevents us from predicting employment trends and mobility across occupatio...
Ridesourcing has undergone a magnificent development pre pandemic and has had a transformative impact on travel behavior and urban mobility. While an individual's travel behavior has been found to be inevitably influenced by the pandemic, how COVID-19 influences the utilization of ridesourcing has rarely been discussed in previous studies. Understa...
The degree to which many benefits of national parks are realized hinges on public access. Traditional methods in estimating park visitation can be time-consuming, costly, and labor-intensive. Fortunately, the growing availability of ‘big data’ offers new opportunities for rapid and large-scale estimation. This study investigated the spatiotemporal...
The United States (U.S.) has experienced persistent truck driver shortages for the past several decades, as demand for truckers has increased while individuals willing to fill driving jobs have decreased. Studies in the transportation literature have not examined industry views on driver shortages, which are expected to become more severe, in combi...
This study identifies alternative occupations for heavy truck drivers and evaluates the relative attractiveness of these alternatives in terms of compensation, ease of entry and future job growth. We also evaluate the geographic correspondence between truck driving jobs and available alternatives within the same state given research evidence about...
We explore three perception-based transportation disadvantages: high costs or efforts, limited physical abilities, and opportunity inaccessibility. We use online panel data to synthesize perceived disadvantages for the population by census tract in South Carolina through iterative proportional updating. Hotspot analysis indicates that the three dis...
Using survey data collected in New Jersey, we analyze the frequency of bicycling and respondent perceptions of the safety of various bicycling facilities. Data was collected via a mixed-mode survey design, including intercepts, bicycle hangers, flyers in bicycle shops, and a Facebook advertisement targeted towards bicyclists in New Jersey (N=1937)....
It is crucial to understand the current pattern of urban park visitation to achieve environmental justice. Current discussions of environmental equity of parks mainly focus on the inequality provision measured by park accessibility, park area, park quality, and park congestion, ignoring the inequity of social benefits through interactions among mix...
Using the Public Use Microdata Sample (PUMS) 2014–2018, we examine whether the household responsibility hypothesis (HRH) remains in the United States, using commuting times. After dividing couple households into subgroups by relative income level and educational level, we find that couple members in a higher income quartile tend to spend more time...
This paper investigated how daily trips are associated with multidimensional disadvantages in demographic characteristics, socioeconomic status, transportation barriers, and internet use based on the 2017 U.S. National Household Travel Survey. We examined how these disadvantages affected weekday and weekend trips for work, recreation, and social pa...
In this study, we aim to reveal hidden patterns and confounders associated with policy implementation and adherence by investigating the home-dwelling stages from a data-driven perspective via Bayesian Inference with weakly informative priors and by examining how home-dwelling stages in the U.S. varied geographically, using fine-grained, spatial-ex...
This study gathered empirical evidence of the associations between perceived transportation disadvantages and travel time-based opportunity inaccessibility. Based on an online survey with a representative sample in South Carolina, we identified three latent factors of perceived transportation disadvantages: high travel costs and efforts (e.g., mone...
Transportation network companies (TNCs) offer a ride-splitting option for ridesourcing trips, allowing users to share the vehicle with others at a lower fare. While encouraging shared rides has environmental benefits, little is known about how price affects the decision to share. Using TNC trip data from Chicago, we investigate the temporal and spa...
The COVID-19 pandemic caused a variety of social, economic, and environmental changes. This paper examines the employment-related impacts of the pandemic on workers in the transportation industry compared to other industries, and within different transportation sectors. We estimated random effects logistic regression models to test the following th...
The Coronavirus disease 2019 (COVID-19) has exposed and, to some degree, exacerbated the social inequity in the U.S. This study reveals the correlation between demographic/socioeconomic variables and home-dwelling time records derived from large-scale mobile phone location tracking data at the U.S. Census Block Group (CBG) level in twelve most-popu...
With the background of hyperurbanization and a jobs–housing imbalance in Beijing and other megacities in China, this study aims to develop a systematic toolkit of demand estimation and route planning for long-distance commuter bus lines. Taking the express bus services (EBS) in the Changping Corridor in Beijing as an example, this paper presents th...
We investigate various spatial, economic, and land-use factors associated with the generation of trips for ride-hailing services in Chengdu, China. Using one month of data for DiDi Chuxing trips in Chengdu, we characterize the unique pattern of TNC ride-hailing trips over space and for different time periods. We examine the association between the...
In this study, we investigate the potential driving factors that lead to the disparity in the time-series of home dwell time in a data-driven manner, aiming to provide fundamental knowledge that benefits policy-making for better mitigation strategies of future pandemics. Taking Metro Atlanta as a study case, we perform a trend-driven analysis by co...
In this paper we use an intercept survey of 1,297 people at seven locations in New Jersey to answer three questions about perceived distances and walk times to nearby destinations. First, we seek to clarify conflicting results from the literature by asking: what factors are associated with perceived distance and walk times? Like other studies, we f...
In this study, we investigate the potential driving factors that lead to the disparity in the time-series of home dwell time, aiming to provide fundamental knowledge that benefits policy-making for better mitigation strategies of future pandemics. Taking Metro Atlanta as a study case, we perform a trend-driven analysis by conducting Kmeans time-ser...
Automated Vehicles (AVs) have gained substantial attention in recent years as the technology has matured. Researchers and policymakers envision that AV deployment will change transportation, development patterns, and other urban systems. Researchers have examined AVs and their potential impacts with two methods: (1) survey-based studies of AV prefe...
Single parents face unique transportation barriers in their lives. Although helping single parents obtain private vehicles (e.g., car donation programs) would be a potential solution, we cannot ignore the high expense of maintaining and operating a vehicle, which may impose a heavy financial burden on single-parent families and constrain their abil...
Research on attitudes towards autonomous vehicles (AVs) shows variation across gender, age, and socioeconomic factors. While previous research has emphasized specific features and qualities of AVs, little is known about how attitudinal factors shape AV acceptance across a range of AV ''modes" from privately-owned AVs to AV taxis shared with strange...
Prior research on attitudes towards autonomous vehicles (AVs) shows variation across a set of demographic and socio-economic factors, but few consider spatial patterns. We investigate the spatial distributions of attitudes and preferences towards AVs from a U.S. nationally representative on-line panel. We examine 1) four attitudinal dimensions esta...
Ridesourcing services provided by Transportation Network Companies (TNCs) such as Uber and Lyft are spreading across the United States and are thriving. As a result of TNCs' expansion, there has been concern that ridesourcing is disrupting the traditional for-hire vehicle market, and those drivers are suffering. Based on 12-year Integrated Public U...
Recent projections suggest worst-case scenarios of more than six ft (1.8 m) of global mean sea-level rise by end of century, progressively making coastal flood events more frequent and more severe. The impact on transportation systems along coastal regions is likely to be substantial. An analysis of impacts for Atlantic and Cape May counties in sou...
Recent projections suggest worst-case scenarios of more than six ft (1.8 m) of global mean sea-level rise by end of century, progressively making coastal flood events more frequent and more severe. The impact on transportation systems along coastal regions is likely to be substantial. An analysis of impacts for Atlantic and Cape May counties in sou...
A childcare supply issue received national attention with the passage of Childcare and Development Block Grant Reauthorization Act of 2014. Although Head Start programs may be strategically placed in areas with a potential childcare supply gap, their role in addressing the gap has not been explored in the literature. Using various publicly availabl...
Creative city is the current hotspot in urban planning against the background of urbanization and economic transition in China. The urban zone around Tongji University in Shanghai is a typical creative community, which has undergone more than 20 years of development, from the spontaneous clustering of creative industries to organized planning and m...
Questions
Question (1)
Hi friends! Who knows taxi drivers? (traditional cab drivers, not Uber of Lyft). Our team is recruiting taxi drivers to participate in focus groups about technological changes in driving jobs and the future impact of autonomous vehicles on workforce. Whoever successfully particpated in the focus group can receive a $50 gift card. More information can be found at: <iframe src="https://www.facebook.com/plugins/post.php?href=https%3A%2F%2Fwww.facebook.com%2FWEAVENSF%2Fposts%2F180149620718317&show_text=true&width=500" width="500" height="737" style="border:none;overflow:hidden" scrolling="no" frameborder="0" allowfullscreen="true" allow="autoplay; clipboard-write; encrypted-media; picture-in-picture; web-share"></iframe>
