Introduction to special issue: Innovations for transport planning in China

Authors

  • Zhibin Li
  • Junfeng Jiao University of Texas at Austin
  • Chuan Ding Beihang University

DOI:

https://doi.org/10.5198/jtlu.2020.1834

Keywords:

transport planning, travel behavior, dynamic traffic assignment, built environment, real-time route planning, connected vehicles

Abstract

We planned this special issue in response to the new opportunities and innovations for urban transport planning in China all of which can help build the smart transportation systems of the future. In preparation for the special issue, we organized the 19th COTA International Conference of Transportation Professionals (CICTP2019) with the theme of “Transportation in China 2025” in July 2017 and recommended high-quality submissions to this special issue. In the end, we received a total of 24 valid papers. After the standard peer-review process, we accepted eight papers for the special issue, with three focusing on built environment and travel activity, three focusing on road network distribution, and two focusing on data-driven traffic modeling. The special issue also has a well-balanced research focus on different types of transport modes, with two papers on multi-modal transport, three on personal cars, two on public bikes, and one on pedestrians.

Author Biographies

Junfeng Jiao, University of Texas at Austin

School of Architecture

 

 

Chuan Ding, Beihang University

School of Transportation Science and Engineering

 

 

References

Chen, X., Yang, C., & Xu, X. (2020) Trip mode inference from mobile phone signaling data using logarithm Gaussian mixture model. Journal of Transport and Land Use, 13(1), 429–445.

Lyu, C., Wu, X., Liu, Y., & Liu, Z. (2020) Exploring multi-scale spatial relationship between built environment and public bicycle ridership: A case study in Nanjing. Journal of Transport and Land Use, 13(1), 447–467.

Tan, H., Du, M., & Yu, C-B. (2020) A multiple-path gradient projection method for solving the logit-based stochastic user equilibrium models. Journal of Transport and Land Use, 13(1), 539–558.

Tian, Y., Chiu, Y.-C., Sun, J., & Chai, C. (2020) Sunsetting skim matrices: A trajectory-mining approach to derive travel time skim matrix in dynamic traffic assignment for activity-base model integration. Journal of Transport and Land Use, 13(1), 413–428.

Usama, M., Shen, Y., Zahoor, O., & Bao, Q. (2020) Dockless bike-sharing system: Solving the problem of faulty bikes with simultaneous rebalancing operation. Journal of Transport and Land Use, 13(1), 491–515.

Wang, P. (2020) Real-time urban regional route planning model for connected vehicles based on V2X communication. Journal of Transport and Land Use, 13(1), 517–538.

Wu, H., Chen, Y., Zhang, Z., & Jiao, J. (2020) The impact of street characteristics on perceived safety of walking among older adults in Shanghai, China. Journal of Transport and Land Use, 13(1), 469–490.

Zhou, W., Li, Q., Li, Z., Wang, N., & Wang, Q. (2020) Dynamic interactions between spatial change and travel behavior variation in old town fringe. Journal of Transport and Land Use, 13(1), 559–584.

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Published

2020-11-12

How to Cite

Li, Z., Jiao, J., & Ding, C. (2020). Introduction to special issue: Innovations for transport planning in China. Journal of Transport and Land Use, 13(1), 409-412. https://doi.org/10.5198/jtlu.2020.1834

Issue

Section

Special Issue: Innovations for Transport Planning in China