34 citations · 72 across the 8 of their papers we have counts for
8 papers
Modeling E-Bike Route Choice in Washington, DC: A Path Size Logit Approach
Yiheng Qian, Zehui Yin, Darren M. Scott +1
Understanding e-bike route choice is essential for developing effective cycling infrastructure, yet empirical evidence remains limited. This study investigates shared e-bike route…
Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning
Xiaojian Zhang, Xiang Yan, Zhengze Zhou +2
The growing significance of ridesourcing services in recent years suggests a need to examine the key determinants of ridesourcing demand. However, little is known regarding the non…
Spatial Equity of Micromobility Systems: A Comparison of Shared E-scooters and Station-based Bikeshare in Washington DC
Lin Su, Xiang Yan, Xilei Zhao
Many cities around the world have introduced dockless micromobility services in recent years and witnessed their rapid growth. Shared dockless e-scooters have the potential to bene…
Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data
Xilei Zhao, Yiming Xu, Ruggiero Lovreglio +5
With increased frequency and intensity due to climate change, wildfires have become a growing global concern. This creates severe challenges for fire and emergency services as well…
Identifying latent shared mobility preference segments in low-income communities: ride-hailing, fixed-route bus, and mobility-on-demand transit
Xinyi Wang, Xiang Yan, Xilei Zhao +1
Concepts of Mobility-on-Demand (MOD) and Mobility as a Service (MaaS), which feature the integration of various shared-use mobility options, have gained widespread popularity in re…
Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data
Xiang Yan, Wencui Yang, Xiaojian Zhang +3
The growing popularity of e-scooters and their rapid expansion across urban streets has attracted widespread attention. A major policy question is whether e-scooters substitute exi…
Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data
Yiming Xu, Xiang Yan, Virginia P. Sisiopiku +3
Emerging micromobility services (e.g., e-scooters) have a great potential to enhance urban mobility but more knowledge on their usage patterns is needed. The General Bikeshare Feed…
Mobility-on-demand versus fixed-route transit systems: an evaluation of traveler preferences in low-income communities
Xiang Yan, Xilei Zhao, Yuan Han +2
Emerging transportation technologies, such as ride-hailing and autonomous vehicles, are disrupting the transportation sector and transforming public transit. Some transit observers…