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A quantified planning method of local public transport services for expanding residents’ activity opportunities

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  • Kita, Hideyuki
  • Komoda, Satoshi
  • Ozaki, Rizumu

Abstract

The purpose of public transport is to expand activity opportunities of residents. Many public transport planning methods focus on the needs of residents. However, residents can adapt to the environment and form limited needs in areas with low public transport service levels, such as rural areas. Therefore, it is important to focus on activity opportunities (various states of people (being) and actions (being able)) rather than needs. The authors constructed a method for local public transport planning that focuses on activity opportunities; however, the variables and solutions of the model were abstract and thus did not reach the stage of practical application. Therefore, this study aimed to put into practical use a supporting method for local public transport planning. This method consists of a “measurement model for activity opportunity,” in which a given bus service and the ability to use it are variables, and an “evaluation model for planning alternatives” that incorporates a social relationship function and disparity principle. Through a case analysis in a rural area to which this method was applied, its usefulness was verified, and it was confirmed that it can contribute to public transport planning to increase activity opportunities.

Suggested Citation

  • Kita, Hideyuki & Komoda, Satoshi & Ozaki, Rizumu, 2024. "A quantified planning method of local public transport services for expanding residents’ activity opportunities," Transport Policy, Elsevier, vol. 159(C), pages 284-296.
    • Handle: RePEc:eee:trapol:v:159:y:2024:i:c:p:284-296
    DOI: 10.1016/j.tranpol.2024.06.022
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    References listed on IDEAS

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    Cited by:

    1. Cheng-Yu Ku & Chih-Yu Liu & Ting-Yuan Wu, 2025. "AI-Driven Optimization for Efficient Public Bus Operations," Mathematics, MDPI, vol. 13(20), pages 1-20, October.

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