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Service optimization for bus corridors with short-turn strategies and variable vehicle size

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  • Delle Site, Paolo
  • Filippi, Francesco

Abstract

An optimization framework for intermediate-level planning of bus operations on a given corridor is presented. Service patterns over different operation periods, which include short-turn strategies (full-length and short-turn line) and variable vehicle size, are considered. Variables optimized are: positions where turnbacks are operated, vehicle size, frequencies (by operation period) and, where bus arrivals are regular, relative offset (by operation period) of full-length and short-turn line, and fare. The objective function is the net benefit represented by benefits that accrue to the users for lower average waiting times minus operator's costs not covered by fares. A numerical procedure to solve the problem is provided. An application of it to a case representative of radial corridor conditions shows the effects on service patterns and the trade-offs over operation periods between users' and operator's costs, stemming from different design criteria according to the weights attached to the two players.

Suggested Citation

  • Delle Site, Paolo & Filippi, Francesco, 1998. "Service optimization for bus corridors with short-turn strategies and variable vehicle size," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(1), pages 19-38, January.
  • Handle: RePEc:eee:transa:v:32:y:1998:i:1:p:19-38
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    7. Cortés, Cristián E. & Jara-Díaz, Sergio & Tirachini, Alejandro, 2011. "Integrating short turning and deadheading in the optimization of transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 419-434, June.
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    17. Jin, Zhihua & Schmöcker, Jan-Dirk & Maadi, Saeed, 2019. "On the interaction between public transport demand, service quality and fare for social welfare optimisation," Research in Transportation Economics, Elsevier, vol. 76(C).
    18. Gkiotsalitis, K. & Schmidt, M.E. & van der Hurk, E., 2021. "Subline frequency setting for autonomous minibusses under demand uncertainty," ERIM Report Series Research in Management ERS-2021-008-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Shiqian Ji & Jiaming Zhong & Zhaocheng He, 2022. "A Bus Subsidy Scheme Design Model Considering Competition between Bus Companies," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
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    21. Jara-Díaz, Sergio & Tirachini, Alejandro & Cortés, Cristián E., 2008. "Modeling public transport corridors with aggregate and disaggregate demand," Journal of Transport Geography, Elsevier, vol. 16(6), pages 430-435.
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