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[12] Jin, C. J., Shi, K. D., Jiang, R., Li, D., & Fang, S. (2023). Simulation of
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Pattern Prediction of Bus Passengers Using Smart Card Data: A Bayesian Method
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alternative closedform crash severity model with the non-identical,
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reconstruction plans for separating trucks and passenger vehicles systems at
urban intersections considering environmental impacts. Sustainable Cities and
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Heterogeneity in passenger satisfaction with air-rail integration services:
Results of a finite mixture partial least squares model. Transportation Research
Part A: Policy and Practice 147, 133-158.
[27] Jin, C.-J., Jiang, R., Liu, T., Li, D., Wang, H., Liu, X. (2021) Pedestrian
dynamics with different corridor widths: Investigation on a series of
uni-directional and bi-directional experiments. Physica A: Statistical Mechanics
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[28] Shi, X., Xue, S., Feliciani, C., Shiwakoti, N., Lin, J., Li, D., Ye, Z.
(2021) Verifying the applicability of a pedestrian simulation model to reproduce
the effect of exit design on egress flow under normal and emergency conditions.
Physica A: Statistical Mechanics and its Applications 562, 125347.
[29] Jin, C.-J., Shi, X., Hui, T., Li, D., Ma, K. (2021) The automatic detection
of pedestrians under the high-density conditions by deep learning techniques.
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[30] Xue, S., Shi, X., Jiang, R., Feliciani, C., Liu, Y., Shiwakoti, N., Li, D.
(2021) Incentivebased experiments to characterize pedestrians’ evacuation
behaviors under limited visibility. Safety Science 133, 105013.
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Automatic Vehicle Identification Data. IEEE Transactions on Intelligent
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[32] Li, D., Yang, M., Jin, C.-J., Ren, G., Liu, X., Liu, H. (2020) Multi-Modal
Combined Route Choice Modeling in the MaaS Age Considering Generalized Path
Overlapping Problem. IEEE Transactions on Intelligent Transportation Systems 22,
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[33] Li, D., Al-Mahamda, M.F. (2020) Collective risk ranking of highway segments
on the basis of severity-weighted crash rates. Journal of advanced
transportation 2020.
[34] Cao, Q., Ren, G., Li, D., Ma, J., Li, H. (2020) Semi-supervised route
choice modeling with sparse Automatic vehicle identification data.
Transportation Research Part C: Emerging Technologies 121, 102857.
[35] Li, D., Jin, C.-j., Yang, M., Chen, A. (2020) Incorporating multi-level
taste heterogeneity in route choice modeling: From disaggregated behavior
analysis to aggregated network loading. Travel Behaviour and Society 19, 36-44.
[36] Jin, C.-J., Jiang, R., Li, D.-W. (2020) Influence of bottleneck on
single-file pedestrian flow: Findings from two experiments. Chinese Physics B
29, 088902.
[37] Li, D., Miwa, T., Xu, C., Li, Z. (2019) Non-linear fixed and multi-level
random effects of origin–destination specific attributes on route choice
behaviour. IET Intelligent Transport Systems 13, 654-660.
[38] Jin, C.-J., Jiang, R., Wong, S., Xie, S., Li, D., Guo, N., Wang, W. (2019)
Observational characteristics of pedestrian flows under high-density conditions
based on controlled experiments. Transportation research part C: emerging
technologies 109, 137-154.
[39] Jin, C.-J., Jiang, R., Liang, H.-F., Li, D., Wang, H. (2019) The
similarities and differences between the empirical and experimental data:
investigation on the single-lane traffic. Transportmetrica B: transport
dynamics.
[40] Jin, C.-J., Jiang, R., Li, R., Li, D. (2019) Single-file pedestrian flow
experiments under high-density conditions. Physica A: Statistical Mechanics and
its Applications 531, 121718.
[41] Tu, Q., Cheng, L., Li, D., Ma, J., Sun, C. (2019) Traffic paradox under
different equilibrium conditions considering elastic demand.
Promet-Traffic&Transportation 31, 1-9.
[42] Jin, C.-J., Knoop, V.L., Li, D., Meng, L.-Y., Wang, H. (2019) Discretionary
lane-changing behavior: empirical validation for one realistic rule-based model.
Transportmetrica A: transport science 15, 244-262.
[43] Jin, C.-J., Jiang, R., Wei, W., Li, D., Guo, N. (2018) Microscopic events
under high-density condition in uni-directional pedestrian flow experiment.
Physica A: Statistical Mechanics and its Applications 506, 237-247.
[44] Lou, X., Cheng, L., Li, D., Zhu, S., Zhou, J. (2018) Modeling Day-to-Day
Dynamics of Travelers’ Risky Route Choices under the Influence of Predictive
Traffic Information. Transp. Res. Record 2672, 12-23.
[45] Ma, J., Li, D., Cheng, L., Lou, X., Sun, C., Tang, W. (2018) Link
restriction: Methods of testing and avoiding braess paradox in networks
considering traffic demands. Journal of Transportation Engineering, Part A:
Systems 144, 04017076.
[46] Xu, C., Li, D., Li, Z., Wang, W., Liu, P. (2018) Utilizing structural
equation modeling and segmentation analysis in real-time crash risk assessment
on freeways. KSCE Journal of Civil Engineering 22, 2569-2577.
[47] Li, Z., Xu, C., Li, D., Liu, P., Wang, W. (2018) Comparing the effects of
ramp metering and variable speed limit on reducing travel time and crash risk at
bottlenecks. IET Intelligent Transport Systems 12, 120-126.
[48] Yang, M., Wu, J., Rasouli, S., Cirillo, C., Li, D. (2017) Exploring the
impact of residential relocation on modal shift in commute trips: Evidence from
a quasi-longitudinal analysis. Transport Policy 59, 142-152.
[49] Li, D., Hu, X., Jin, C.-j., Zhou, J. (2017) Learning to detect traffic
incidents from data based on tree augmented naive bayesian classifiers. Discrete
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[50] Jin, C.-J., Jiang, R., Yin, J.-L., Dong, L.-Y., Li, D. (2017) Simulating
bi-directional pedestrian flow in a cellular automaton model considering the
body-turning behavior. Physica A: Statistical Mechanics and its Applications
482, 666-681.
[51] Li, D., Miwa, T., Morikawa, T. (2016) Modeling time-of-day car use
behavior: A Bayesian network approach. Transportation research part D: transport
and environment 47, 54-66.
[52] Li, D., Miwa, T., Morikawa, T., Liu, P. (2016) Incorporating observed and
unobserved heterogeneity in route choice analysis with sampled choice sets.
Transportation research part C: emerging technologies 67, 31-46.
[53] Li, D., Miwa, T., Morikawa, T. (2015) Analysis of Vehicles' Daily Fuel
Consumption Frontiers with Long-Term Controller Area Network Data. Transp. Res.
Record 2503, 100-109.
[54] Li, D., Miwa, T., Morikawa, T. (2014) Analysis of car usage time frontiers
incorporating both inter-and intra-individual variation with GPS data. Transp.
Res. Record 2413, 13-23.
[55] Li, D., Miwa, T., Morikawa, T. (2014) Considering en-route choices in
utility-based route choice modelling. Networks and Spatial Economics 14,
581-604.
[56] Li, D., Miwa, T., Morikawa, T. (2013) Dynamic route choice behavior
analysis considering en-route learning and choices. Transp. Res. Record 2383,
1-9.
[57] Li, D., Miwa, T., Morikawa, T. (2013) Use of Private Probe Data in Route
Choice Analysis to Explore Heterogeneity in Drivers' Familiarity with
Origin–Destination Pairs. Transp. Res. Record 2338, 20-28.
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