YAN Longxu

Current Position

Assistant Professor, Department of Urban Planning, College of Architecture and Urban Planning (CAUP), Tongji University

Education

2020, Ph.D., Department of Urban Planning, Tongji University

2018-2019, Visiting PhD student, Senseable City Lab at Singapore-MIT Alliance for Research and Technology

2017-2018, Visiting PhD student, Senseable City Lab at Massachusetts Institute of Technology

Research Interests

1) Urban/Regional Spatial Structure

2) Urban Analytics, Modeling and Big Data

3) Smart Cities and Planning

Research Grant

1)  National Science Foundation Grant for Young Scholars, Research on the functional patterns and interaction mechanisms of metropolitan centers system based on “local and non-local” perspective: a case study of Shanghai. (No. 52208074). PI, 2023.01-2025.12.

Publications

1) YAN Longxu. Public Engagement Based on Scenario Analysis in Foreign Urban Planning[C]. Annual National Planning Conference 2015, Guiyang, China. 2015. (in Chinese)

2) ZHANG Shangwu*, YAN Longxu, WANG De, et al. Analysis on the Policy Path of Spatial Structure Optimizing in the Shanghai Metropolitan Region, A Scenario-based Study on Population Distribution[J]. Urban Planning Forum, 2015(6), pp. 12-19. (in Chinese)

3) YAN Longxu, ZHANG Shangwu, WANG De*, et al. Identification and Evaluation of Living Centers in Shanghai[J]. Urban Planning Forum, 2016, (6):65-71. (in Chinese)

4) YAN Longxu *, JIN Qianhui. Impact of Shanghai Free Trade Zone Policy On Housing Prices[C]. 4th World Planning School Congress, Rio de Janeiro, 2016. post: http://www.wpsc2016.com.br/proceedings.html

5) ZHONG Weijing, WANG De*, XIE Dongcan, YAN Longxu. Dynamic characteristics of Shanghai's population distribution using cell phone signaling data[J]. Geographical Research, 2017(5). (in Chinese)

6) YAN Longxu*. The Impact of Online Take-out Service on Restaurants Location Characteristics—A Study Based on Open Data in Shanghai Inner City[J]. Urban Planning Forum, 2017, (4):113-119. (in Chinese)

7) WANG De*, GU Jiahuan, YAN Longxu. Delimiting the Shanghai Metropolitan Area Using Mobile Phone Data [J]. Acta Geographica Sinica, 2018. (in Chinese)

8) XIE Dongcan, WANG De*, ZHONG Weijing, YAN Longxu. Assessment and Analysis on Built Environment of Shanghai: An Exploration Based on Mobile Phone Signaling Data[J]. Urban Planning, 2018,42(10):97-108. (in Chinese)

9) YAN Longxu, WANG De*, ZHANG Shangwu, XIE Dongcan. Discovering aggregate patterns of jobs-resident balance and commuting time-cost by using cellular signaling data: a case study in Shanghai [J]. Transportation. 2019, 46(3): 777-792. (https://doi.org/10.1007/s11116-018-9894-3)

10) YANG Tianren, JIN Ying, YAN Longxu, PEI Pei*. Aspirations and realities of polycentric development: Insights from multi-source data into the emerging urban form of Shanghai[J]. Environment and Planning B: Urban Analytics and City Science. 2019, 46(7): 1264-1280. (https://doi.org/10.1177/2399808319864972)

11) YAN Longxu, Fabio Duarte*, WANG De, ZHENG Siqi, Carlo Ratti. Exploring the effect of air pollution on social activity in China using geotagged social media check-in data[J]. Cities. 2019, 91: 116-125. (https://doi.org/10.1016/j.cities.2018.11.011 )

12) YIN Zhengxuan, WANG De*, YAN Longxu, ZHAO Bicheng. Identification and Evaluation of Living Centers in Chongqing Central City[J]. Planners, 2019,35(7):77-83. (in Chinese)

13) YAN Longxu, REN Xiyuan, WANG De*, Carlo Ratti. Paradigm Shift: Shared Mobility and the Response from Urban Planning and Governance[J]. Urban Planning Forum, 2019, (4): 63-69. (in Chinese)

14) YAN Longxu. A Theoretical Analysis on the Structural Effects of Space of Flows [J]. Urban Planning Forum, 2021(05): 32-39.

15) YAN Longxu, WANG De*, ZHANG Shangwu, YIN Zhengxuan, TAN Wenken. Experience and Implications of Urban Centers Planning in International Metropolises: Based on Five Cases, 2022,37(02):88-96. 

16) WANG De, ZHU Licaiqi, YAN Longxu. The Characteristics of the Use of Mobile Internet and the Comovement between Physical and Virtual Spaces[J]. Journal of Tongji University, 2022,33(01):56-66+77.

17) YAN Longxu, WANG De, ZHANG Shangwu, LIU Liu, ZHANG Yudi, ZHANG Yangfan, WANG Yong. Exploring City Examination Using Deep Learning-based Building Detection [J].Shanghai Urban Planning, 2022 (01):39-46.