Optimization Models for Comparing Conventional and Subscription Bus Feeder Services
Shyue Koong Chang and
Paul M. Schonfeld
Additional contact information
Shyue Koong Chang: National Taiwan University, Taipei, Taiwan, Republic of China
Paul M. Schonfeld: University of Maryland, College Park, Maryland 20742
Transportation Science, 1991, vol. 25, issue 4, 281-298
Abstract:
Analytic models are developed and used in comparing fixed route conventional bus and flexible route subscription bus systems for providing feeder services to a single point (such as a transportation terminal). In the mathematical models for these two systems, vehicle size and service zone size are the optimizable decision variables, and total system cost, including operator and user costs, is the objective function to be minimized. Average cost per trip is the criterion used to determine which system is preferable and how it should be optimized in various circumstances. With an approximation for subscription services, closed form solutions for optimal vehicle size and service zone area are obtained for both alternatives. The analytic results for optimized conventional services indicate that constant ratios should be maintained at all demand densities between vehicle size and route spacing and between fleet size and user wait time. Analytic solutions are extended to conditions where (1) demand and costs are time dependent, requiring multiperiod optimization and (2) the maximum load factor may differ from 1.0 to allow for standees and stochastic demand fluctuations. A method for comparing the two systems when their service levels generate different passenger volumes is also presented. Sensitivity analyses indicate that the relative advantage of subscription bus services generally increases with smaller service areas, higher speeds, lower fixed bus cost, lower incremental costs of vehicle size, higher values of access and wait time, and lower values of in-vehicle time.
Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (30)
Downloads: (external link)
http://dx.doi.org/10.1287/trsc.25.4.281 (application/pdf)
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:inm:ortrsc:v:25:y:1991:i:4:p:281-298
Access Statistics for this article
More articles in Transportation Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().