2025

Spatial-temporal insights into gender gaps in East Asian ride-hailing: Workload, efficiency, nighttime safety, and operational patterns

Ride-hailing Gender Geographic Weighted Random Forest

Chutian Zhuang, Tianqi Gu, Hyungchul Chung, Muyi Zhu, Daniel Yonto

Journal of Transport Geography

Gender gaps in ride-hailing

Regional optimization of new-energy bus charging stations using a hybrid model integrating graph convolutional networks and simulated annealing

Electric Bus Charging Stations Graph Convolutional Network (GCN) Simulated Annealing (SA)

Tianqi Gu, Muyi Zhu, Jiao Jiao, Hyungchul Chung

Journal of Transport Geography

Bus charging stations optimization

Commuter Exposure to Air Pollution in a Highly Transit-Dependent City: A CaseStudy of Hong Kong Island

Air Quality Commuter Exposure PM2.5/PM10

Muyi Zhu, Junjie He, Junshi Xu

Transport and Pollution (TaP) International Conference 2025

Air pollution study

Unveiling Changes in Urban Visual Perception Inequality in High-Density Cities: Insights from Housing Types and Travel Distances Using Time-Series Street View Imagery

Urban Visual Perception Spatiotemporal Evolution Street View Imagery Urban Inequality

Yuchen Xie, Muyi Zhu, Fangqi Wang, Jiurui Zhao, Wanxiao Sun, Yuchen Qin, Hongsheng Zhang

Applied Geography (Ongoing)

Urban visual perception

Investigating Day-Night Pedestrian Crash Risk Using Double Machine Learning and Geographically Weighted Causal Random Forests with Synthesized Street View Imagery

Pedestrian Crash Risk Double Machine Learning Causal Random Forest Synthesized Nighttime Street View Imagery

Muyi Zhu, Xiaotong Ye, Yuankai Wang, Chenming Niu, Waishan Qiu, Junshi Xu

The 105th Transportation Research Board (TRB) Annual Meeting (Ongoing)

Pedestrian crash risk

2023

Study on the cultural and industrial activation of Liuliqu Village under the background of rural revitalization

Cultural Revitalization Rural Revitalization Liuli Culture

Jiayi Wang, Xinyu Wang, Yuechu Shi, Linqing Cao, Ying Liu, Muyi Zhu, Lanlin Xiang

Annual National Planning Conference (in Chinese)

Liuliqu Village study