A methodology for choosing between fixed‐route and flex‐route policies for transit services

Feng Qiu · Wenquan Li · Ali E. Haghani

54 citations0/0 files storedJournal of Advanced Transportation

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Transportation Planning and Optimization Vehicle Routing Optimization Methods Transportation and Mobility Innovations

Abstract

Summary Flex‐route transit brings together the low cost operability of fixed‐route transit with the flexibility of demand responsive transit, and in recent years, it has become the most popular type of flexible transit service. In this paper, a methodology is proposed to help planners make better decisions regarding the choice between a conventional fixed‐route and a flex‐route policy for a specific transit system with a varying passenger demand. A service quality function is developed to measure the performance of transit systems, and analytical modeling and simulations are used to reproduce transit operation under the two policies. To be closer to reality, two criteria are proposed depending on the processing of rejected requests in the assessment of the service quality function for flex‐route services. In various scenarios, critical demand densities, which represent the switching points between the two competing policies, are derived in a real‐world transit service according to the two criteria. Copyright © 2014 John Wiley & Sons, Ltd.

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References

1982Urban operations research 2011A structured flexible transit system for low demand areas 2009Feeder transit services: Choosing between fixed and demand responsive policy 2009A methodology to derive the critical demand density for designing and operating feeder transit services 1978An approximate analytic model of many-to-many demand responsive transportation systems 2008A simulation study of demand responsive transit system design 2013A survey on planning semi-flexible transit systems: Methodological issues and a unifying framework 1984Checkpoint dial-a-ride systems

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2018A slack arrival strategy to promote flex-route transit services 2015Demi-flexible operating policies to promote the performance of public transit in low-demand areas 2015Flexible feeder transit route design to enhance service accessibility in urban area 2020Analytical models for comparing operational costs of regular bus and semi-flexible transit services 2018A Methodology for Choosing between Route Deviation and Point Deviation Policies for Flexible Transit Services

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