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Optimization of Bus Service with a Spatio-Temporal Transport Pulsation Model

  • Shuhan LouEmail author
  • Ling PengEmail author
  • Yunting SongEmail author
  • Xuantong ChenEmail author
  • Chengzeng YouEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 69)

Abstract

With the rapid urbanization, the transportation system, especially the bus system, plays an increasingly prominent role in city planning. However, the current bus evaluation model usually focuses on just one aspect either spatial or temporal. Inspired by “Pulsation Analysis”, this study presents a new approach for evaluating Service Level of Bus as well as Demand for Public Transport based on both spatial and temporal aspects of the bus trips, called “Public Transit Pulsation Analysis”. The transport pulsation assessment model which assesses the supply side and the demand of community for bus model which calculates the demand side, are combined to optimize the bus frequency settings in this approach. The proposed method is tested on a real case study in Tianjin, China, which implies its usefulness in evaluating the service level and improving the service quality of the bus system by 17.6%. As well as developing a bus frequency optimization model, this study also demonstrates its real-world application of “Pulsation Analysis” for decision-making in city planning.

Keywords

Public transit pulsation analysis Service level of bus Demand for public transport 

Notes

Acknowledgements

This paper is supported by Innovation practice training program for college students of Chinese Academy of Sciences (No. 201707000121). We would like to thank all members of this project and we also thank the administration section of the Sino-Singapore Tianjin Eco-city for providing us necessary data.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Capital Normal UniversityBeijingChina
  2. 2.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina
  3. 3.Wuhan UniversityWuhanChina
  4. 4.Peking UniversityBeijingChina

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