[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i4p1230-d141613.html
   My bibliography  Save this article

Transport Choice Modeling for the Evaluation of New Transport Policies

Author

Listed:
  • Ander Pijoan

    (DeustoTech-Fundación Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
    Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain)

  • Oihane Kamara-Esteban

    (DeustoTech-Fundación Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
    Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain)

  • Ainhoa Alonso-Vicario

    (DeustoTech-Fundación Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
    Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain)

  • Cruz E. Borges

    (DeustoTech-Fundación Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
    Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain)

Abstract
Quantifying the impact of the application of sustainable transport policies is essential in order to mitigate effects of greenhouse gas emissions produced by the transport sector. One of the most common approaches used for this purpose is that of traffic modelling and simulation, which consists of emulating the operation of an entire road network. This article presents the results of fitting 8 well known data science methods for transport choice modelling, the area in which more research is needed. The models have been trained with information from Biscay province in Spain in order to match as many of its commuters as possible. Results show that the best models correctly forecast more than 51% of the trips recorded. Finally, the results have been validated with a second data set from the Silesian Voivodeship in Poland, showing that all models indeed maintain their forecasting ability.

Suggested Citation

  • Ander Pijoan & Oihane Kamara-Esteban & Ainhoa Alonso-Vicario & Cruz E. Borges, 2018. "Transport Choice Modeling for the Evaluation of New Transport Policies," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1230-:d:141613
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/4/1230/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/4/1230/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Souche, Stéphanie, 2010. "Measuring the structural determinants of urban travel demand," Transport Policy, Elsevier, vol. 17(3), pages 127-134, May.
    2. Rich, J. & Holmblad, P.M. & Hansen, C.O., 2009. "A weighted logit freight mode-choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 1006-1019, November.
    3. Kenneth Train, 1985. "Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200554, April.
    4. Anders Skonhoft & Bjart Holtsmark, 2014. "The Norwegian support and subsidy of electric cars. Should it be adopted by other countries?," Working Paper Series 15814, Department of Economics, Norwegian University of Science and Technology.
    5. Zulqarnain H. Khattak & Mark J. Magalotti & John S. Miller & Michael D. Fontaine, 2017. "Using New Mode Choice Model Nesting Structures to Address Emerging Policy Questions: A Case Study of the Pittsburgh Central Business District," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
    6. Clauss, Thomas & Döppe, Sebastian, 2016. "Why do urban travelers select multimodal travel options: A repertory grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 93-116.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Edmond Daramy-Williams & Jillian Anable & Susan Grant-Muller, 2019. "Car Use: Intentional, Habitual, or Both? Insights from Anscombe and the Mobility Biography Literature," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    2. Pizer, William A. & Burtraw, Dallas & Harrington, Winston & Newell, Richard G. & Sanchirico, James N., 2005. "Modeling Economywide versus Sectoral Climate Policies Using Combined Aggregate-Sectoral Models," Discussion Papers 10502, Resources for the Future.
    3. Lu, Changxiang & Ye, Yong & Fang, Yongjun & Fang, Jiaqi, 2023. "An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    4. Xu Wang & Jingni Song & Qunqi Wu, 2021. "An Economic Equilibrium Model for Optimizing Passenger Transport Corridor Mode Structure Based on Travel Surplus," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    5. Head, Keith & Ries, John & Swenson, Deborah, 1995. "Agglomeration benefits and location choice: Evidence from Japanese manufacturing investments in the United States," Journal of International Economics, Elsevier, vol. 38(3-4), pages 223-247, May.
    6. Joubert, J.W. & Axhausen, K.W., 2011. "Inferring commercial vehicle activities in Gauteng, South Africa," Journal of Transport Geography, Elsevier, vol. 19(1), pages 115-124.
    7. Saiful Hasan & Terje Andreas Mathisen, 2020. "Policy measures for electric vehicle adoption. A review of evidence from Norway and China," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 25-46.
    8. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    9. Francisco Candel‐Sánchez & Juan Perote‐Peña, 2020. "Optimal Incentives on Multiple Prosocial Activities when Reputation Matters," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(3), pages 1207-1230, July.
    10. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
    11. Kathleen W. Johnson, 1999. "Credit constraints, consumer leasing and the automobile replacement decision," Finance and Economics Discussion Series 1999-68, Board of Governors of the Federal Reserve System (U.S.).
    12. Meyer de Freitas, Lucas & Becker, Henrik & Zimmermann, Maëlle & Axhausen, Kay W., 2019. "Modelling intermodal travel in Switzerland: A recursive logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 200-213.
    13. Lambros Mitropoulos & Annie Kortsari & Emy Apostolopoulou & Georgia Ayfantopoulou & Alexandros Deloukas, 2023. "Multimodal Traveling with Rail and Ride-Sharing: Lessons Learned during Planning and Demonstrating a Pilot Study," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    14. Qiu, Y.Q. & Tsan Sheng Ng, Adam & Zhou, P., 2022. "Optimizing urban electric vehicle incentive policy mixes in China: Perspective of residential preference heterogeneity," Applied Energy, Elsevier, vol. 313(C).
    15. Setareh Ataian, 2011. "Analysis of households’ urban transportation budget in Tehran [Analyse des dépenses en transport urbain des ménages à Téhéran]," Post-Print halshs-00733368, HAL.
    16. Roberto Amaral-Santos & Ariaster Chimeli & Joao Paulo Pessoa, 2023. "Natural Gas Vehicles: Consequences to Fuel Markets and the Environment," Working Papers, Department of Economics 2023_07, University of São Paulo (FEA-USP).
    17. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
    18. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    19. Megersa Abate & Inge Vierth & Rune Karlsson & Gerard Jong & Jaap Baak, 2019. "A disaggregate stochastic freight transport model for Sweden," Transportation, Springer, vol. 46(3), pages 671-696, June.
    20. Pessoa, Joao Paulo & Santos, Roberto Amaral & Chimeli, Ariaster, 2023. "Natural Gas Vehicles: Consequences to Fuel Markets and the Environment," SocArXiv 7tvgy, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1230-:d:141613. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.