1 基于集成模型的多维活动—出行决策研究.交通运输系统工程与信息,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
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