Optimization of unsubsidized and subsidized customized bus services
Siqing Wang,
Jian Wang and
Xiaowei Hu
Transportation Planning and Technology, 2023, vol. 46, issue 5, 672-693
Abstract:
This paper develops a model that considers both peak and off-peak demands. The optimal operating strategy is determined by maximizing the social welfare of unsubsidized and subsidized customized bus systems. Headway, fare, and fleet size are decision variables. Three plans are formulated for the subsidized case. Social welfare, fares, and actual demands for three plans at various subsidy levels are then compared. An improved particle swarm optimization (PSO) algorithm is designed by dynamically adjusting parameters in the update rule, combining the brainstorming algorithm mutation strategy. Results indicate that off-peak fares are consistently lower than peak fares. To attract a wide range of passengers, adopting a subsidy plan that partially compensates for operating costs is preferable. Furthermore, government subsidy programs help generate enhanced social benefits. The findings derived from numerical examples can be used as planning guides for customized bus systems.
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/03081060.2023.2216193 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:transp:v:46:y:2023:i:5:p:672-693
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20
DOI: 10.1080/03081060.2023.2216193
Access Statistics for this article
Transportation Planning and Technology is currently edited by Dr. David Gillingwater
More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().