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Estimating preferred departure times of road users in a large urban network

Author

Listed:
  • Ida Kristoffersson

    (KTH Royal Institute of Technology
    VTI Swedish National Road and Transport Research Institute)

  • Leonid Engelson

    (KTH Royal Institute of Technology)

Abstract

In order to reliably predict and assess effects of congestion charges and other congestion mitigating measures, a transportation model including dynamic assignment and departure time choice is important. This paper presents a transport model that incorporates departure time choice for analysis of road users’ temporal adjustments and uses a mesoscopic traffic simulation model to capture the dynamic nature of congestion. Departure time choice modelling relies heavily on car users’ preferred times of travel and without knowledge of these no meaningful conclusions can be drawn from application of the model. This paper shows how preferred times of travel can be consistently derived from field observations and conditional probabilities of departure times using a reverse engineering approach. It is also shown how aggregation of origin–destination pairs with similar preferred departure time profiles can solve the problem of negative solutions resulting from the reverse engineering equation. The method is shown to work well for large-scale applications and results are given for the network of Stockholm.

Suggested Citation

  • Ida Kristoffersson & Leonid Engelson, 2018. "Estimating preferred departure times of road users in a large urban network," Transportation, Springer, vol. 45(3), pages 767-787, May.
    • Handle: RePEc:kap:transp:v:45:y:2018:i:3:d:10.1007_s11116-016-9750-2
    DOI: 10.1007/s11116-016-9750-2
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    References listed on IDEAS

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    1. Börjesson, Maria & Eliasson, Jonas & Hugosson, Muriel B. & Brundell-Freij, Karin, 2012. "The Stockholm congestion charges—5 years on. Effects, acceptability and lessons learnt," Transport Policy, Elsevier, vol. 20(C), pages 1-12.
    2. Börjesson, Maria & Eliasson, Jonas & Hugosson, Muriel & Brundell-Freij, Karin, 2012. "The Stockholm congestion charges – five years on. Effects, acceptability and lessons learnt," Working papers in Transport Economics 2012:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    3. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    4. Eliasson, Jonas & Börjesson, Maria & van Amelsfort, Dirk & Brundell-Freij, Karin & Engelson, Leonid, 2013. "Accuracy of congestion pricing forecasts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 34-46.
    5. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    6. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    7. Tseng, Yin-Yen & Verhoef, Erik T., 2008. "Value of time by time of day: A stated-preference study," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 607-618, August.
    8. de Jong, Gerard & Daly, Andrew & Pieters, Marits & Vellay, Carine & Bradley, Mark & Hofman, Frank, 2003. "A model for time of day and mode choice using error components logit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(3), pages 245-268, May.
    9. Eliasson, Jonas & Hultkrantz, Lars & Nerhagen, Lena & Rosqvist, Lena Smidfelt, 2009. "The Stockholm congestion - charging trial 2006: Overview of effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 240-250, March.
    10. May, A. D. & Milne, D. S., 2000. "Effects of alternative road pricing systems on network performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(6), pages 407-436, August.
    11. Börjesson, Maria & Kristoffersson, Ida, 2014. "Assessing the welfare effects of congestion charges in a real world setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 339-355.
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    Cited by:

    1. Lizana, Pedro & Ortúzar, Juan de Dios & Arellana, Julián & Rizzi, Luis I., 2021. "Forecasting with a joint mode/time-of-day choice model based on combined RP and SC data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 302-316.
    2. Bwambale, Andrew & Choudhury, Charisma F. & Hess, Stephane, 2019. "Modelling departure time choice using mobile phone data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 424-439.

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