(†: equal contribution, ~: corresponding author)

Publications

Journal Paper

  • Evaluating the social-economic recovery impacts of the built environment post-pandemic: A case study of COVID-19
    Shuang Ma, Xuanyu Zhou, Wei Cai, Mo Chen, Shuangjin Li~
    Transactions in Urban Data, Science, and Technology

  • How do we model cities? A systematic review of spatial and nonlinear analytical paradigms in planning research
    Mingze Chen, Xuanyu Zhou~, Yuxuan Liu
    Landscape and Urban Planning (Under Review)

  • Future life expectancy extension under bike ride, air pollution exposure, and traffic accidents through modifying the built environment and climate: An integrated modelling study
    Shuang Ma, Wanshi Li, Xuanyu Zhou, Tao Ma, Yinbin He, Shuangjin Li~
    npj Urban Sustainability (Under Review)

  • Exploring the relationship between resident emotions and built environment in Beijing based on a geographical weighted random forest approach
    Shuangjin Li, Wei Cai, Changlong Wu, Xin Zhang, Xuanyu Zhou, Yinbin He, Shuang Ma~
    Urban Studies (Under Review)

  • From Patchwork to Network: A Comprehensive Framework for Demand Analysis and Fleet Optimization of Advanced Air Mobility
    Xuan Jiang, Xuanyu Zhou~, Yibo Zhao, Shangqing Cao, Haoze He, Jinhua Zhao, Mark Hansen, Raja Sengupta
    IEEE Transactions on Intelligent Transportation Systems (Under Review)

Conference Paper

  • FROM PATCHWORK TO NETWORK: A Comprehensive Framework for Demand Analysis and Fleet Optimization of Urban Air Mobility
    Xuan Jiang~, Xuanyu Zhou, Yibo Zhao, Shangqing Cao, Haoze He, Jinhua Zhao, Mark Hansen, Raja Sengupta
    Transportation Research Board Annual Meeting
    Washington, D.C January, 2026.

  • PedSVF: Multimodal Aerial-Street Grounding for Pedestrian-Scale Sky View Factor Estimation
    Yuye Zhou, Xuanyu Zhou, Julian Stangl, Peimin Chen, Maryam Hosseini, Lu Liang~
    34th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2026, Under Review)

  • Perceiving the Street from Where People Stand: Pedestrian-Centered Multi-View-Factor Mapping via Street View Imagery and Monocular 3D Reconstruction
    Yuye Zhou, Xuanyu Zhou, Lu Liang~
    33rd International Conference on Geoinformatics (Geoinformatics 2026)
    National University of Singapore, Singapore. July, 2026.

  • Greening the Gap: Examining Urban Greenery Equity in Shrinking Cities
    Xuanyu Zhou, Mingze Chen~
    Association of Collegiate Schools of Planning Annual Meeting
    Seattle, USA. November, 2024.

Degree Thesis

Title: Study on Urban Pluvial Flood Risk and Planning Response in Hangzhou under Shared Socioeconomic Pathways Supervisor: Prof. Yonghua Li

Climate change is intensifying extreme precipitation, leading to a sustained increase in urban pluvial flood risk. Systematic assessments remain lacking regarding the spatiotemporal evolution of urban flood risk under different climate scenarios and whether current planning measures can effectively mitigate flooding under future climatic conditions. Using Hangzhou, China as a case study, this research constructs future precipitation inputs under multiple Shared Socioeconomic Pathway (SSP) scenarios, quantifies the spatial distribution of inundation depth, and evaluates the flood mitigation effectiveness of existing planning measures from a land use perspective.

Daily precipitation data from the CMIP6 BCC-CSM2-MR model under four SSP scenarios were bias-corrected using Empirical Quantile Mapping (EQM), followed by Intensity-Duration-Frequency (IDF) curve fitting and design storm generation via the Chicago method. The resulting hyetographs were used to drive a two-dimensional HEC-RAS hydraulic model across nine combined climate-planning scenarios. Results indicate that the mean annual maximum daily precipitation increases by 33%-49% relative to the baseline across all four SSP scenarios. Under SSP245 through SSP585, planning measures reduce the total inundated area by approximately 50%, with pronounced compression of deep-water zones, yet limited improvement in shallow inundation.

A risk redistribution effect is also observed, with localized increases in water depth in certain areas. Flood exposure characteristics vary markedly across land use types: parks and green spaces exhibit the highest water depths but serve stormwater retention functions; residential land is predominantly subject to widespread shallow inundation; and transportation hubs display node-level vulnerability. This study establishes a complete analytical chain from climate projection to planning assessment, providing a methodological framework and empirical evidence for climate-adaptive urban flood management planning.

Key Words: Urban pluvial flooding; Shared Socioeconomic Pathways (SSPs); HEC-RAS two-dimensional simulation; evaluation of planning interventions.