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Research on Transfer Optimization Model of County Transit Network.

Xu Sun1,2, Kun Lin1, Pengpeng Jiao1

  • 1School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China.

International Journal of Environmental Research and Public Health
|June 2, 2021
PubMed
Summary

This study optimizes county transit networks for better connectivity. The developed model enhances passenger flow and operational efficiency in rural public transportation systems.

Keywords:
layout modeoperation managementsmart mobilitysynchronization reachtransfer optimizationtransit network

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Area of Science:

  • Transportation Engineering
  • Urban Planning
  • Operations Research

Background:

  • County transit systems are crucial for connecting urban centers with rural areas.
  • Current transit network planning and operational optimization face challenges in county-level systems.
  • Effective public transportation is vital for China's rural development.

Purpose of the Study:

  • To develop a transfer optimization model for county transit networks.
  • To address issues of unreasonable planning and inconvenient operations in rural transit.
  • To provide theoretical support for public transportation management in China's counties.

Main Methods:

  • Developed a transfer optimization model maximizing synchronization reach.
  • Analyzed county transit passenger flow characteristics.
  • Utilized an "end-point connection" layout mode for optimal network design.
  • Validated the model using case studies in typical Chinese county-level cities.

Main Results:

  • The "end-point connection" model proved effective for county transit layout.
  • Model validation demonstrated practical applicability in diverse county settings.
  • Analysis of network density, departure intervals, population, and economic factors informed results.

Conclusions:

  • The proposed model offers a robust solution for county transit network planning and optimization.
  • Findings provide valuable insights for decision-making in public transportation development.
  • The research supports improved transit accessibility and efficiency in rural China.