Publication: The Public Transportation Fare Structure Improvement at Koh Chang in Trat Province, Thailand
2
Issued Date
2020-10-22
Resource Type
Other identifier(s)
2-s2.0-85097660823
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings. (2020)
Suggested Citation
Soopparada Tepmanee, Siradol Siridhara The Public Transportation Fare Structure Improvement at Koh Chang in Trat Province, Thailand. 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings. (2020). doi:10.1109/ISMSIT50672.2020.9255066 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/60438
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
The Public Transportation Fare Structure Improvement at Koh Chang in Trat Province, Thailand
Author(s)
Other Contributor(s)
Abstract
© 2020 IEEE. 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.