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Basic Information
Associate Researcher LU Yuwen
Email: [email protected]
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Brief Introduction
Dr. LU Yuwen is an Associate Researcher at the School of Architecture and Urban Planning, Nanjing University. She holds a Ph.D. and completed her postdoctoral research at Nanjing University, and earned her Master's degree from Harbin Institute of Technology. Her research focuses on urban resilience assessment and intelligent optimization in the context of climate change. She serves as Principal Investigator for six research projects, including the Youth Program of Jiangsu Provincial Natural Science Foundation, the General Program and Special Funding of China Postdoctoral Science Foundation, and the Jiangsu Provincial Social Science Application Research Excellence Project, while also participating in the National Key Research and Development Program. Dr. Lu has published over 40 academic papers, with first/corresponding author publications in prestigious international journals including Transportation Research Part D and Journal of Transport Geography. She has co-authored three monographs in Chinese and English, and her research findings have been featured and disseminated by the Xuexi Qiangguo platform. She currently serves as a reviewer for international journals including Cities, Sustainable Cities and Society, and Landscape and Urban Planning. Her accolades include the Huaxia Science and Technology Award for Construction, Jiangsu Outstanding Postdoctoral Fellow, and recognition as a CNKI Highly Cited Scholar (Top 5%, 2024/2025).
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Courses
lUrban public safety planning
lGraduation Design (Thesis)
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Research and Projects
l2022-2025, Natural Science Foundation of Jiangsu Province, Dynamic optimization path of urban fine spatio-temporal scale spatial resilience based on deep learning in flood disaster scenarios, Principal Investigator.
l2023-2024, China Postdoctoral Science Foundation, Special Funding for Postdoctoral Research (In-station), Research on Urban Spatial Resilience Optimization and Dynamic Coupling of Low-carbon Layout Based on Machine Learning from the Perspective of 'Dual Carbon' Goals, Principal Investigator.
l2021-2023, China Postdoctoral Science Foundation, Assessment and planning control of urban spatial resilience based on artificial intelligence technology, Principal Investigator.
l2023-2024, Jiangsu Federation of Social Sciences, Research on the Path of Artificial Intelligence Empowering Jiangsu's Public Safety Emergency Framework System Construction and Resilient Governance, Principal Investigator.
l2024-2025, Fundamental Research Funds for the Central Universities, Principal Investigator.
l2025-2026, Fundamental Research Funds for the Central Universities, Principal Investigator.
l2023-2027，National Key Research and Development Program of China, Ministry of Science and Technology，Technologies for Collaborative Recovery and Enhancement of Urban (Cluster) System Resilience Functions under Resource Constraints, Participant.
l2022-2024, Jiangsu Province Human Resources and Social Security Department, Jiangsu Province Outstanding Postdoctoral Program Funding
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Key Publications
[* corresponding author]
lLu Y*, Zhang Y, Zhai W, Zhai G. Understanding electric vehicle charging network resilience: Resilience curves and interpretable machine learning[J]. Transportation Research Part D: Transport and Environment, 2025, 142: 104709. (SSCI/SCI, JCR Q1)
lLu Y, Zhai G*, Zhai W. Quantifying urban spatial resilience using multi-criteria decision analysis (MCDA) and back propagation neural network (BPNN)[J]. International Journal of Disaster Risk Reduction, 2024, 104694. (SCI, JCR Q1)
lLu Y, Zhai G*, Zhou S. An integrated Bayesian networks and Geographic information system (BNs-GIS) approach for flood disaster risk assessment: A case study of Yinchuan, China[J]. Ecological Indicators, 2024, 112322. (SCI, JCR Q1)
lLu Y, Zhai G*, Zhou S, Shi Y. Risk reduction through urban spatial resilience: A theoretical framework[J]. Human and Ecological Risk Assessment: An International Journal, 2020, 27: 1-17. (SCI, JCR Q2)
lZhang Y, Lu Y*, Zhai G. Revealing Multi-Phase Resilience Patterns of Inter-City Mobility Under Extreme Weather[J]. Transportation Research Part D: Transport and Environment, 2025, 149, 105057. (SCI, JCR Q1)
lZhao N, Zhang Y, Lu Y*, Zhai G. Spatial heterogeneity and multimodal complementarity in travel behavior resilience under extreme rainfall: a machine learning approach[J]. Journal of Transport Geography, 2025, 130, 104472. (SCI, JCR Q1)
lZhao N, Lu Y*. Dynamic Resilience Assessment of Urban Metro Networks: A High-Resolution Simulation Approach for Post-Disruption Recovery Analysis[J]. Reliability Engineering & System Safety,2025, 267, 111857. (SCI, JCR Q1)
lZhong G, Lu Y*, Chen W, Zhai G. Multi-objective optimization approach of shelter location with maximum equity: an empirical study in Xin Jiekou district of Nanjing, China[J]. Geomatics, Natural Hazards and Risk, 2023, 14(1): 2165973. (SCI, JCR Q1)
