5 papers
Design and Validation of a Grid-based Home Detection via Stay-Time (GHOST) Software for Mobile Location Data
Alessandra Recalde, Mustafa Sameen, Xiaojian Zhang +1
Accurately detecting home locations from GPS data generated by mobile devices is a foundational step in human mobility research, with significant implications for transportation pl…
Evacuation destination choices during Hurricane Ian: A direct demand modeling approach
Alessandra Recalde, Luyu Liu, Xiaojian Zhang +3
Hurricanes are causing unprecedented damage to the natural environment, infrastructure, and communities. Understanding evacuation behavior is essential for improving emergency prep…
Synthesizing Attitudes, Predicting Actions (SAPA): Behavioral Theory-Guided LLMs for Ridesourcing Mode Choice Modeling
Mustafa Sameen, Xiaojian Zhang, Xilei Zhao
Accurate modeling of ridesourcing mode choices is essential for designing and implementing effective traffic management policies for reducing congestion, improving mobility, and al…
Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian
Luyu Liu, Xiaojian Zhang, Shangkun Jiang +1
Hurricane Ian is the deadliest and costliest hurricane in Florida's history, with 2.5 million people ordered to evacuate. As we witness increasingly severe hurricanes in the contex…
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach
Zhuoqun Xue, Xiaojian Zhang, David O. Prevatt +3
Accurately assessing building damage is critical for disaster response and recovery. However, many existing models for detecting building damage have poor prediction accuracy due t…