Awards & Scholarships Committee

TANG Junqing
Position:Member
Email:junqingtang@pku.edu.cn

Research Interests: 

Long-term focus on integrated urban resilience and disaster research, aiming to deconstruct the complex coupling mechanisms of "disaster risk-human activities-urban systems" in human-environment interactions through high-dimensional big data mining, geospatial intelligence, machine learning algorithms, large language models, complex system simulations, and urban digital twin technologies. Research interests include but are not limited to:

1. Resilient Cities and Disaster Risk Reduction

2. Big Data and Urban Computing

3. Modelling in Smart Cities

4. Transport Geography and Planning


Education and Professional Experience:

1. 2019–2021  University of Cambridge, UK  Postdoctoral Researcher

2. 2018–2019  Massachusetts Institute of Technology (MIT), USA / University of Tokyo, Japan,Short-term Visiting Scholar

3. 2018–2019  Massachusetts Institute of Technology (MIT), USA / University of Tokyo, Japan  Short-term Visiting Scholar

4. 2016  National University of Singapore Exchange Student

5. 2015–2019  Singapore-ETH Centre, Future Resilient Systems Laboratory  PhD Researcher

6. 2015–2019  ETH Zurich, Department of Environmental Systems Science, Switzerland  PhD in Environmental Sciences

7. 2015  WSP, UK  Assistant Transport Planner

8. 2013–2014 Imperial College London / University College London (UCL), UK MSc in Transport

9. 2010–2013  Cardiff University, UK  BSc in Architectural Engineering


Teaching Courses: 

Elective Course: Resilient Cities and Disaster Risk Reduction (3 credits, Spring)Core Course: Geostatistical Models and Methods (3 credits, Autumn)


Key Research Activities: 

Research Projects

(1).NSFC General Program: Coastal Urban Transport Resilience Under Typhoon Disaster Chains: A Case Study of Shenzhen (2024–2027, PI, ongoing). 

(2).Guangdong NSF General Program: Vulnerability Assessment and Risk Mitigation for Mobility of Vulnerable Groups During Typhoons in the Greater Bay Area (2022–2025, PI, ongoing). 

(3).Guangdong-Shenzhen Joint Fund Youth Program: Big Data-Driven Dynamic Resilience Evaluation for Cities in the Greater Bay Area (2021–2024, PI, ongoing). UCL-PKU Strategic Partner Fund: Enabling a Sustainable New Normal by Learning from UK and Chinese Cities (2021–2022, Co-PI, completed). 

(4).Singapore NRF: DREAMIN’s SG: Disaster Resilience Assessment, Modelling, and Innovation (2020–2022, Sub-project Lead, completed). 

(5).The Ove Arup Foundation: Digital Cities for Change (DC2) (2020–2022, Key Contributor, completed). 

(6).Singapore NRF: Future Resilient Systems Phase I – Resilience Metrics and Outliers (2014–2019, Team Member, completed).


Selected Publications

(1).Tang, J., Zhao, P.*, Gong, Z., et al. (2023). Resilience patterns of human mobility in extreme urban floods. National Science Review, nwad097.

(2).Tang, J.*, Han, S., Wang, J., et al. (2023). A comparative analysis of performance-based resilience metrics. International Journal of Disaster Risk Science, 14, 736-750. 

(3).Huang, F., Tang, J.*, Lin, H., et al. (2023). Impacts of urban built environment on bike-sharing distribution: A MGWR analysis. Geographical Research (in Chinese), 42(9), 2405-2418. 

(4).Tang, J.*, Lin, H., Fan, X., et al. (2022). Topology-based resilience evaluation of road networks against epidemic spread. Frontiers in Public Health.

(5).Wang, X., Peng, J., Tang, J.*, et al. (2022). Impact of new airline routes on air transport resilience in China. Transport Policy, 125, 79-95. 

(6).Tang, J.*, Heinimann, H.R., et al. (2020). Bayesian network model for urban transport resilience. Transportation Research Part C, 121: 102840.


Awards and Honors

(1). Outstanding Academic Paper Award, Shenzhen Artificial Intelligence Association (2023). 

(2). Outstanding Faculty Award, Peking University School of Urban Planning and Design (2023, 2024). 

(3). Shenzhen High-Level Overseas Talent (2021).

(4). National Award for Outstanding Self-Financed International Students, China Scholarship Council (2019).