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A GIS‐based method to identify cost‐effective routes for rural deviated fixed route transit
Authors:Hongtai Yang  Christopher R Cherry  Russell Zaretzki  Megan S Ryerson  Xiaobo Liu  Zhijian Fu
Institution:1. National United Engineering Laboratory of Integrated and Intelligent Transportation, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan, China;2. Department of Civil and Environmental Engineering, University of Tennessee‐Knoxville, Knoxville, TN, USA;3. Department of Business Analytics and Statistics, University of Tennessee‐Knoxville, Knoxville, TN, USA;4. Department of City and Regional Planning, Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA
Abstract:Deviated fixed route transit (DFRT) service connecting rural and urban areas is a growing transportation mode in the USA. Little research has been done to develop frameworks for route design. A methodology to explore the most cost‐effective DFRT route is presented in this paper. The inputs include potential DFRT demand distribution and a road network. A heuristic is used to build possible routes by starting at urban cores and extending in all network directions in certain length increments. All the DFRT routes falling in the length range desired by the users are selected. The cost effectiveness of those routes, defined by operating cost per passenger trip, is compared. The most cost‐effective route is selected and presented in a GIS map. A case study illustrates the methodology in several Tennessee metropolitan regions. The most cost‐effective route length is case specific; some routes (e.g. those out of our Nashville case) are most cost effective when short, while others (e.g. those out of Memphis) are most cost effective when long. Government agencies could use the method to identify routes with the lowest operating cost per passenger given a route length or an operating cost budget. Copyright © 2016 John Wiley & Sons, Ltd.
Keywords:deviated fixed route transit  geographic information system  transit route design  rural to urban transit  demand responsive transit
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