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

• Urban/Regional Spatial Structure

• Urban Analytics, Modeling and Big Data

• Smart Cities and Planning

Research Grant

• 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.