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Basic Information
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Brief Introduction
SHI Fei is a professor and Master’s supervisor of School of Architecture and Urban Planning in Nanjing University. He got his Ph.D., M.D. and B.D. at Southeast University. He is the visiting scholar of University of Washington, USA.SHI Fei is mainly engaged in interdisciplinary research related to transport governance, such as territorial spatial transport planning, public transport accessibility, and spatio-temporal big data analysis.
SHI Fei presided over 3 National Natural Science Foundation projects, 1 Jiangsu Natural Science Foundation project, and participated in several national, provincial and school level scientific research and teaching projects. He has published over 100 academic papers, authorized more than 10 intellectual property rights such as invention patents, and published 8 monographs. He won the highest prize of the International Society of Urban and Regional Planners, the second prize of for technological progress of China Association Of City Planning, the first prize of Jiangsu Excellent Urban Planning Project, the Science and Technology of Jiangsu Underground Space Society, and the third prize for teaching research of Jiangsu Education Department, etc.He has guided students to win the first and second prizes in the urban traffic innovation practice competition and Wupen sustainable competition international track for many times.
Currently, SHI Fei is a member of the Ministry of Transport of the National Committee of Historic and Cultural Cities, a young expert of the Academic Committee of Urban Transport Planning of China, and a member of the Jiangsu Provincial Urban Transport Special Committee.
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Courses
lUrban road and transportation planning
lIntelligent transportation and innovative mobility
lUrban and regional transport planning studies
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Honors and Awards
lNanjing Longpao New City Campus Underground Traffic System Design Guidelines for Picking up and Dropping off kids, The Second Science and Technology Awards for Underground Space Association of Jiangsu Province,2022
lAwarded the "Charming Tutor" Scholarship of Nanjing University, September 2018
lMay 4th Youth Medal of Nanjing University, May 2016
lNANJING COMMITTEE OF PUBLIC TRANSPORT USERS，Institut pour la ville en mouvement/ PSA Peugeot Citroën，Better mobility, Better Life — Prize for innovative urban mobility solutions，Excellence Award，2012.11.
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Research and Projects
l2023-2026，NSFC: Research on methods of mega-cities' coordinated transportation planning under the national major strategies of Territorial Spatial Planning and Dual Carbon Target
l2017-2021，NSFC: Research on Essentially Prior Urban Public Transport Analysis and Optimization in Large Cities Based on Dual Dimensions of Equity and Accessibility
l2013-2016，NSFC: Research on Impacts of Road Network Features on Trip Mode Choice and Transit-oriented Road Network Optimization in Urban China
l2012-2015，NSF of Jiangsu Province: Urban Road Nework Structure Optimization Based on Transit Priority
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Publications
lLe Zhu, Fei SHI*, Spatial and social inequalities of job accessibility in Kunshan city, China: Application of the Amap API and mobile phone signaling data, Journal of Transport Geography, Volume 104, 2022, 103451
lFei SHI, Le Zhu, Analysis of trip generation rates in residential commuting based on mobile phone signaling data, Journal of Transport and Land Use, 2019. Vol 12, No 1.
lFei SHI. Parking versus public transport subsidies: case study of Nanjing, China. Transportation Letters- The International Journal of Transportation Research. 2016, Vol 8, No 2.
lFei Shi, Zhu Yandong, Research Methods in Urban Transport Studies, Southeast University Press, 2020
lFei Shi,Le ZHU, Dongqi XI, Big data and Public Transport Accessibility, Commercial Press,2022
lYifan Qin, Fei Shi, Map spatio-temporal big data crawling and planning analysis tutorial, Southeast University Press, 2019
lFei Shi,Yifan Qin,Jiangang XU, A method of Mass Collection of Commuting Data Based on Electronic Maps, Patent Number: ZL 2019 1 0189978.X
lFei Shi,Le ZHU,Zhenbo LU, A method to analyze and obtain trip generation rate of buildings with different types, Patent Number:ZL 2019 1 0031098.X
lFei Shi,Wulin ZHAN,Shuo YANG, Transportation planning method and device based on deep learning and OD completion, Patent Number: ZL 2022 1 0297602.2
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Works
