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Traffic Performance Comparison of Short-Term and Long-Term Driving Restriction Policy—A Case Study of Tianjin, China

  • Xiao-feng Liu
  • Zhi-wei Guan
  • Jie Geng
  • Jin-jian Xiao
  • Li-mei Gao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)

Abstract

Few research studied the effects of short-term and long-term driving restriction policy. Aiming to this gap, Tianjin City, China was taken as an empirical example to evaluate the effects of the two policies in this study. First, traffic survey of several segments and intersections was conducted to compare their traffic volume before and after the implementation of driving restriction policy. Then, a revealed preference-based survey was conducted to evaluate the policy effects. The case study indicates that the long-term driving restriction policy has transferred massive passenger flow into the public transport system, but it is only effective to reduce traffic volume in short-term; some traffic flow transfers to the weekends and the hour preceding the restriction time; rule-breaking behavior is pervasive for the short-term driving restriction policy; and the short-term earns high marks than the long-term policy. Additionally, some countermeasures were provided to improve the effects of the driving restriction policy.

Keywords

Driving restriction policy Policy evaluation Traffic analysis 

Notes

Acknowledgements

This research was supported by the National Natural Science Foundation of China (51408417, 61503284), the Service Platform of Intelligent Transportation Cooperative Control Technologies (16PTGCCX00150), the Key Project of Natural Science Foundation of Tianjin (16JCZDJC38200), the Transportation Science and Technology Development Plan Project of Tianjin (2017A-24), and the Science and Technology Plan Project of Tianjin (Popular Science Exhibition of Intelligent Transportation Systems and Unmanned Aerial Vehicle).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Xiao-feng Liu
    • 1
  • Zhi-wei Guan
    • 1
  • Jie Geng
    • 1
  • Jin-jian Xiao
    • 1
  • Li-mei Gao
    • 2
  1. 1.School of Automotive and TransportationTianjin University of Technology and EducationTianjinChina
  2. 2.Traffic Science Research Institution of Tianjin CityTianjinChina

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