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The Public Transportation Fare Structure Improvement at Koh Chang in Trat Province, Thailand

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper attempts to improve fare structure at Koh Chang in Trat province, Thailand. The willingness to pay approach is used for policy maker to consider with optimum fare structure of public transport as well as the optimum policy headway at the island. The direct customer survey with price scale on the questionnaire is used together with open-ended questions on the bottom of the questionnaire. The policy headway scenarios are added as stated preference, but based on current practice. The transport cost is also studied as revenue and cost are important in improving fare and policy headway, or as known frequency in inverse. The economics concept is used to analyzed this work. It is found that the primarily optimization between demand and supply for this study is the policy headway 60 minutes from every origin - destination pairs optimum fare and without waiting ferry arrival schedule. However, other policy headway scenarios are also able to implement to improve fare and policy headway to cover demand and transport cost according to the result of the willingness to pay method.

Original languageEnglish
Title of host publication4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728190907
DOIs
Publication statusPublished - 22 Oct 2020
Event4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Istanbul, Turkey
Duration: 22 Oct 2020 → 24 Oct 2020

Publication series

Name4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings

Conference

Conference4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020
Country/TerritoryTurkey
CityIstanbul
Period22/10/20 → 24/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • cost function
  • direct customer survey
  • origin-destination
  • policy headway
  • willingness to pay

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