Education Background
2007-2011 Bachelor of Industrial Engineering, Shandong University
2011-2016 Ph.D. in Management, Shanghai Jiao Tong University
2013-2014 Joint Training, University of Texas at Austin

Undergraduate: Logistics Theory, Enterprise Logistics Management, Transportation Economics, Logistics Economic Geography, etc
Master/Ph.D.: Advanced Operations Research, Management Science Research Methods, etc

1. Multi-dimensional Activity-travel Decisions Based on Integrated Model. Journal of Transportation Systems Engineering and Information Technology, 2018(18):8-13.
2. Travel mode choice on multiday traveling occasions: a multilevel and mixed-effects approach. Transportmetrica A: Transport Science, 2019, 15(2): 1175-1194.
3. Determinants of loyalty to public transit: a model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory.Transportation Research Part A: Policy and Practice, 2018(113): 476-490.
4. Exploring the psychosocial factors associated with public transportation usage and examining the “gendered” difference.Transportation Research Part A: Policy and Practice, 2017(103): 70-82.
5. Understanding public transit use behavior: Integration of the theory of planned behavior and customer satisfaction paradigm, Transportation, 2017(44): 1021-1042.
6. Estimation of multinomial probit-kernel integrated choice and latent variable model: comparison on one sequential and two simultaneous approaches. Transportation, 2017 (44/1): 91-116.
7. Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences. Transportation, 2016 (43/1): 37-51.
8. Accommodating preference heterogeneity in commuting mode choice: an empirical investigation in Shaoxing, China. Transportation Planning and Technology, 2017(40/4): 434-448.
9. Drivers of transit service loyalty considering heterogeneity between user segments. Transportation Planning and Technology, 2017(40 /5): 611-623.
10. A Data-driven Method for Trip Ends Identification Using Large Scale Smartphone-based GPS Tracking Data.IEEE Transactions on Intelligent Transportation Systems, 2017(18/8): 2096-2110.
11. Empirical Analysis on Trip Chain Patterns Across Three Urban Areas in China,.In: Transportation Research Board 97th Annual Meeting, Washington D.C., USA, 2018.01.07-01.11
12. Understanding the Multiple Dimensions of Residential Choice.In: Transportation Research Board 94th Annual Meeting, Washington D.C., USA, 2015.01.07-01.11
13. A Simulation Evaluation of the Maximum Approximate Composite Marginal Likelihood (MACML) Estimator for the Generalized Heterogeneous Data Model (GHMD). In: Transportation Research Board 94th Annual Meeting, Washington D.C., USA, 2015.01.07-01.11

1. Research on the Evolution Law of Resident Activity-travel Pattern and its Mechanism: Based on the Dynamic Perspective of the Whole Life Course (General Project supported by the National Natural Science Foundation of China, 72071121, 2021-2024)
2. Research on the Decision-making Mechanism of Resident Activity-travel and its Evolution Law Based on Big Data Analysis (Youth Project supported by the National Natural Science Foundation of China)
3. Smartphone-based Individual Activity Chain Information Acquisition and Mining Method (General Project supported by the National Natural Science Foundation of China)
4. Research on Resident Activity-travel Decision Behavior Considering ICT Influence from the Perspective of Fragmentation (General Project supported by the National Natural Science Foundation of China)
5. Innovative Research on Fine Management and Active Management Policy of Urban Traffic Under the Influence of Big Data (Key Project in Soft Science Research Field of “Science and Technology Innovation Action Plan” of Shanghai)
6. Research on Innovative Methods for Policy Analysis and Evaluation of Shared Traffic Management (Key Project in Soft Science Research Field of “Science and Technology Innovation Action Plan” of Shanghai)