16 citations · 44 across the 9 of their papers we have counts for
12 papers
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…
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago
Xiaojian Zhang, Xilei Zhao
Accurately forecasting ridesourcing demand is important for effective transportation planning and policy-making. With the rise of Artificial Intelligence (AI), researchers have sta…
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…
Optimizing Demand-Responsive Paratransit Operations: A Mixed Integer Programming Approach
Xiaojian Zhang, Yu Yang, Abigail L. Cochran +2
The traditional demand-responsive paratransit system plays an important role in connecting people to health care, particularly those who are carless, low-income, senior, underinsur…
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…