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Accommodating user preferences in ad hoc shared ride trip planning using GIS

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Listed:
  • M. Teimouri
  • M.R. Delavar
  • S.H. Chavoshi
  • M.R. Malek
  • N. Van de Weghe
  • T. Neutens
  • H.H. Hochmair

Abstract

Ad hoc shared ride trip planning (SRTP) utilizes mobile devices, geo-sensors and wireless networks to match on-the-fly individual travel demand with transport supply. It represents one of many alternatives to single occupancy vehicle use. This paper outlines a SRTP approach via a two-phase algorithm based on user preferences in a time-dependent routing. Whereas current algorithms use minimization of travel time as the only optimization criterion in trip planning, in the framework presented here, the user can specify multiple trip preferences including travel time, walking time, number of transfers between cars and trip length. Various scenarios are simulated in the city of Tehran (Iran) to demonstrate how preference settings affect the routes of ad hoc shared journeys.

Suggested Citation

  • M. Teimouri & M.R. Delavar & S.H. Chavoshi & M.R. Malek & N. Van de Weghe & T. Neutens & H.H. Hochmair, 2015. "Accommodating user preferences in ad hoc shared ride trip planning using GIS," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(7), pages 816-831, October.
    • Handle: RePEc:taf:transp:v:38:y:2015:i:7:p:816-831
    DOI: 10.1080/03081060.2015.1059125
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    References listed on IDEAS

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    1. Agatz, Niels A.H. & Erera, Alan L. & Savelsbergh, Martin W.P. & Wang, Xing, 2011. "Dynamic ride-sharing: A simulation study in metro Atlanta," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1450-1464.
    2. Golledge, Reginald G., 1995. "Path Selection and Route Preference in Human Navigation: A Progress Report," University of California Transportation Center, Working Papers qt9jn5r27v, University of California Transportation Center.
    3. Jean-François Cordeau & Gilbert Laporte, 2007. "The dial-a-ride problem: models and algorithms," Annals of Operations Research, Springer, vol. 153(1), pages 29-46, September.
    4. Alessio Ishizaka & Markus Lusti, 2006. "How to derive priorities in AHP: a comparative study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 387-400, December.
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