Shan Jiang

Shan Jiang is a Postdoctoral Associate in the Department of Urban Studies and Planning at MIT.  Her research interests lie in the fields of Big Data Analytics, Spatial Analysis, Geographic Information Science, Computational Social Science, and the use of Information and Communication Technology (ICT) in Land Use, Transportation, and Urban Planning.  Her research bridges data science with urban sustainability issues, moving from data to information, knowledge, and action. By applying data-driven approaches, she focuses on the interactions among human activities and mobility, the natural and built environment, the society, and their connections with public policy.

Jiang has studied global cities of Beijing, Bogota, Boston, Chicago, Lisbon, Riyadh, and Singapore, and worked for projects funded by the National Academies of Sciences, the Singapore National Research Foundation, the Portugal Foundation for Science and Technology, the Center for Complex Engineering Systems at KACST and MIT.  She has consulted for the Chicago Transit Authority, the Lincoln Institute of Land Policy, Cambridge Systematics, among others. Jiang received a Ph.D. in Urban and Regional Planning, a Master in City Planning, a Master of Science in Transportation from MIT, a B.E. in Urban Planning and a B.A. in Economics from Peking University.

Select Publications

Jiang, S., Ferreira, J. and González, M.C., 2017. Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore. IEEE Transactions on Big Data, 3(2), pp.208-219. (Special Issue: Urban Computing)

Jiang, S., Yang, Y., Gupta, S., Veneziano, D., Athavale, S. and González, M.C., 2016. The TimeGeo Modeling Framework for Urban Mobility without Travel Surveys. Proceedings of the National Academy of Sciences, p.201524261.

Jiang, S., Alves, A., Rodrigues, F., Ferreira, J. and Pereira, F.C., 2015. Mining Point-of-Interest Data from Social Networks for Urban Land Use Classification and Disaggregation. Computers, Environment and Urban Systems, 53, pp.36-46. (Special Issue: Volunteered Geographic Information)

Alexander, L., Jiang, S., Murga, M. and González, M.C., 2015. Origin–Destination Trips by Purpose and Time of Day Inferred from Mobile Phone Data. Transportation Research Part C: Emerging Technologies, 58, pp.240-250. (Special Issue: Big Data in Transportation and Traffic Engineering)

Jiang, S., Fiore, G.A., Yang, Y., Ferreira Jr, J., Frazzoli, E. and González, M.C., 2013. A Review of Urban Computing for Mobile Phone Traces: Current Methods, Challenges and Opportunities. In Proceedings of the 2nd ACM SIGKDD international workshop on Urban Computing (p. 2). ACM. [Best Paper Award]

Zegras, C., Jiang, S. and Grillo, C., 2013. Sustaining Mass Transit through Land Value Taxation? Prospects for Chicago. Working Paper for the Lincoln Institute of Land Policy, Cambridge, MA

Jiang, S., Ferreira, J. and González, M.C., 2012. Clustering Daily Patterns of Human Activities in the City. Data Mining and Knowledge Discovery, pp.1-33. (Special Issue: Data Mining Technologies for Computational Social Science)

Jiang, S., Ferreira Jr, J. and González, M.C., 2012. Discovering Urban Spatial-Temporal Structure from Human Activity Patterns. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing (pp. 95-102). ACM.

Areas of Interest
Computation, Housing, Infrastructure Planning, International Development, Land Use, Social Equity, Sustainability, Transportation and Mobility, Transportation Planning, Urban Information, Technology, and Media and Analytics