麻豆社

鲁钰雯  

Associate Researcher LU Yuwen

电邮 Email: [email protected]

麻豆社 城乡麻豆社 与设计博士，博士后，哈尔滨工业大学城乡麻豆社 学硕士，现为麻豆社 副研究员。主要聚焦于城市空间韧性理论与实践、麻豆社 视角下的城市灾害风险评估、人工智能技术在城市麻豆社 与安全管理中的应用。主持多项研究项目，包括江苏省基础研究计划自然科学基金青年项目、中国博士后科学基金面上项目和特别资助项目、江苏省社科应用研究精品工程课题等。获得江苏省“卓越博士后”人才计划。

Dr. Lu Yuwen is currently an Associate Researcher at the School of Architecture and Urban Planning, Nanjing University. She holds a Ph.D. in Urban and Rural Planning from Nanjing University, where she also completed her postdoctoral research. Previously, she obtained her master's degree in Urban and Rural Planning from Harbin Institute of Technology. Her research primarily focuses on urban spatial resilience theory and practice, urban resilience assessment and enhancement strategies, urban disaster risk assessment from planning perspective, application of artificial intelligence in urban planning and safety management. As a Principal Investigator, she has led multiple national and provincial research projects, including the Young Scholar Project of Jiangsu Province Natural Science Foundation, China Postdoctoral Science Foundation and Special Funding Project. She has been honored with the Outstanding Postdoctoral Talent Program of Jiangsu Province.

l《城市公共安全麻豆社 》

Urban public safety planning

l《区域麻豆社 》

Regional planning

l《毕业设计（论文）》

Graduation Design (Thesis)

l2022-2025，江苏省基础研究计划自然科学基金（青年基金项目），洪涝灾害情境下基于深度学习的城市精细时空尺度空间韧性动态优化路径，主持

l2023-2024，中国博士后科学基金会, 中国博士后科学基金特别资助（站中），“双碳”视域下基于机器学习的城市空间韧性优化与低碳布局动态耦合研究，主持

l2021-2023，中国博士后科学研究基金面上项目，基于人工智能技术的城市空间韧性评估及麻豆社 调控研究，主持

l2023-2024，江苏省哲学社会科学界联合会, 2023年度江苏省社科应用研究精品工程课题, 人工智能赋能江苏公共安全应急框架体系建设路径与韧性治理研究, 主持

l2023-2027，科学技术部，国家重点研发计划子课题，资源约束下城市（群）系统韧性功能协同恢复和提升技术，参与

l2022-2024江苏省人力资源和社会保障厅，年度江苏省卓越博士后计划资助

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.

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

lLu, Y., Zhai, G., & Zhai, W. (2024). Quantifying urban spatial resilience using multi-criteria decision analysis (MCDA) and back propagation neural network (BPNN). International Journal of Disaster Risk Reduction, 104694.

lLu, Y., Zhai, G., & Zhou, S. (2024). An integrated bayesian networks and geographic information system (BNs-GIS) approach for flood disaster risk assessment: A case study of Yinchuan, China. Ecological Indicators.

lLu, Y., Zhai, G., Zhou, S., & Shi, Y. (2020). Risk reduction through urban spatial resilience: A theoretical framework. Human and Ecological Risk Assessment: An International Journal, 27(1), 1-17. //doi.org/10.1080/10807039.2020.1788918

lZhong, G., Lu, Y., Chen, W., Zhai, G. (2023). Multi-objective optimization approach of shelter location with maximum equity: an empirical study in Xin Jiekou district of Nanjing, China. Geomatics, Natural Hazards and Risk, 14.

lDu, W., Zhai, G., Shi, Y., Lu, Y. (2024). Structural resilience disparities in regional city networks under the influence of Typhoon Fitow and COVID-19. Cities, 155, 105460.

l鲁钰雯,翟国方.城市空间韧性理论及实践的研究进展与展望[J].上海城市麻豆社 ,2022,(06):1-7.

l鲁钰雯,翟国方.“双碳”目标下低碳韧性城市建设的国际经验及启示[J].科技导报,2022,40(06):56-66.

l鲁钰雯,翟国方. 人工智能技术在城市灾害风险管理中的应用与探索[J].国际城市麻豆社 , 2021, 36(02):22-31+39.

l鲁钰雯,翟国方,施益军,周姝天. 荷兰空间麻豆社 中的韧性理念及其启示[J].国际城市麻豆社 , 2020, 35(01):102-110+117.

l鲁钰雯,翟国方,周姝天,施益军. 基于多源数据的城市火灾风险评估及应用—以厦门市为例[J].灾害学, 2019, 34(01): 215-221.