Sicheng WangMichigan State University | MSU · Department of Geography Environment and Spatial Sciences
Sicheng Wang
Ph.D. in Planning & Public Policy / M.A. / B.Eng
Research Associate in the Department of Geography, Environment, and Spatial Sciences at Michigan State University
About
27
Publications
4,323
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343
Citations
Citations since 2017
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 (27)
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>
Projects
Projects (8)
Task 1 – Designing and distributing a travel survey on a sample of diversified residents in South Carolina. The team already designed the survey and tested it among the team and travel survey experts (see Appendix). The team also obtained approval from UofSC IRB to conduct the survey (Appendix). The team started talking with survey company Qualtrics to implement the online survey on a sample of South Carolina residents with representative social/demographic diversity.
Task 2 – Development of a perception-based travel difficulty index: The team will derive a perception-based travel difficulty index based on how respondents perceive the barriers, stress, and difficulties when accessing various daily activities such as jobs, healthcare, grocery, and services in the aspects of costs, time, opportunities, safety, and ability.
Task 3 – Synthesis of the survey sample to the South Carolina state population: This project will help establish the capability of USC and Civil and Environmental Engineering Department on a transportation performance evaluation system to evaluate transportation’s role in efficiently and equally connecting residents, particularly socially disadvantaged individuals, to opportunities.
Task 4 – Examining social disparities in travel difficulty: The project team will employ statistical methods to investigate evidence of social disparities in the travel difficulty index at individual and community levels.
Task 5 – Reporting and Results Dissemination: The team will prepare several journal articles that summarize the established methodologies and generated results to share with the research and practitioner community.
