IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt0jc0v1gn.html

Sensitivity Testing of Induced Highway Travel in the Sacramento Regional Travel Demand Model

Author

Listed:
  • Rodier, Caroline
  • Gibb, John
  • Zhang, Yunwan

Abstract

Since the 1970s, stakeholders have expressed concerns about the ability of transportation travel demand used by metropolitan planning organizations to represent induced travel from expanded highway capacity. Failure to adequately represent induced travel will underestimate vehicle miles traveled and congestion when comparing scenarios with and without highway capacity expansion. To examine the magnitude of potential biases, the authors use the state-of-the-practice transportation demand model, the Sacramento Council of Governments (SACOG) SACSIM19 model, to examine (1) the model's representation of induced travel, (2) the influence of variation in key inputs on vehicle travel and roadway congestions, and (3) the effect of changes in induced travel-related input variables on the comparisons of scenarios with and without highway expansions. View the NCST Project Webpage

Suggested Citation

  • Rodier, Caroline & Gibb, John & Zhang, Yunwan, 2025. "Sensitivity Testing of Induced Highway Travel in the Sacramento Regional Travel Demand Model," Institute of Transportation Studies, Working Paper Series qt0jc0v1gn, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt0jc0v1gn
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/0jc0v1gn.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. de Palma, Andre & Picard, Nathalie & Waddell, Paul, 2007. "Discrete choice models with capacity constraints: An empirical analysis of the housing market of the greater Paris region," Journal of Urban Economics, Elsevier, vol. 62(2), pages 204-230, September.
    2. Robert Cervero & Mark Hansen, 2002. "Induced Travel Demand and Induced Road Investment: A Simultaneous Equation Analysis," Journal of Transport Economics and Policy, University of Bath, vol. 36(3), pages 469-490, September.
    Full references (including those not matched with items on IDEAS)

    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. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    2. Parry, Ian W.H., 2008. "How should heavy-duty trucks be taxed?," Journal of Urban Economics, Elsevier, vol. 63(2), pages 651-668, March.
    3. Michel Beine & Marco Delogu & Lionel Ragot, 2020. "The role of fees in foreign education: evidence from Italy [Determinants of international student migration]," Journal of Economic Geography, Oxford University Press, vol. 20(2), pages 571-600.
    4. van Heerden, Quintin & Karsten, Carike & Holloway, Jenny & Petzer, Engela & Burger, Paul & Mans, Gerbrand, 2022. "Accessibility, affordability, and equity in long-term spatial planning: Perspectives from a developing country," Transport Policy, Elsevier, vol. 120(C), pages 104-119.
    5. De Palma, Andre & Motamedi, Kiarash & Picard, Nathalie & Waddell, Paul, 2007. "Accessibility and environmental quality: inequality in the Paris housing market," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 36, pages 47-74.
    6. Ho, Chinh Q. & Hensher, David A. & Ellison, Richard, 2017. "Endogenous treatment of residential location choices in transport and land use models: Introducing the MetroScan framework," Journal of Transport Geography, Elsevier, vol. 64(C), pages 120-131.
    7. Marko Kryvobokov & Aurélie Mercier & Alain Bonnafous & Dominique Bouf, 2013. "Simulating housing prices with UrbanSim: predictive capacity and sensitivity analysis," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 31-44, March.
    8. Mamkhezri, Jamal & Khezri, Mohsen, 2024. "Vehicle miles traveled induced demand, rebound effect, and price and income elasticities: A US spatial econometric analysis," Transport Policy, Elsevier, vol. 158(C), pages 224-240.
    9. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Development of destination choice models for pedestrian travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 255-265.
    10. Zachary Patterson & Marko Kryvobokov & Fabrice Marchal & Michel Bierlaire, 2010. "Disaggregate models with aggregate data: Two UrbanSim applications," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 5-37.
    11. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    12. Rahman, Mohammad Lutfur & Baker, Douglas, 2018. "Modelling induced mode switch behaviour in Bangladesh: A multinomial logistic regression approach," Transport Policy, Elsevier, vol. 71(C), pages 81-91.
    13. Daganzo, Carlos F., 2012. "On the Design of Public Infrastructure Systems with ElasticDemand," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt577170v2, Institute of Transportation Studies, UC Berkeley.
    14. Michel Beine & Marco Delogu & Lionel Ragot, 2017. "The Role of Fees in Foreign Education: Evidence From Italy and the United Kingdom," Working Papers 2017-04, CEPII research center.
    15. Russo, Francesco & Musolino, Giuseppe, 2012. "A unifying modelling framework to simulate the Spatial Economic Transport Interaction process at urban and national scales," Journal of Transport Geography, Elsevier, vol. 24(C), pages 189-197.
    16. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    17. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2022. "Understanding migration aversion using elicited counterfactual choice probabilities," Journal of Econometrics, Elsevier, vol. 231(1), pages 123-147.
    18. Jonathan E. Hughes & Daniel Kaffine, 2013. "When is Encouraging Consumption of Common Property Second Best? Sorting, Congestion and Entry in the Commons," Working Papers 2013-05, Colorado School of Mines, Division of Economics and Business.
    19. Zachary Patterson & Michel Bierlaire, 2010. "Development of Prototype Urbansim Models," Environment and Planning B, , vol. 37(2), pages 344-366, April.
    20. Daganzo, Carlos F., 2012. "On the design of public infrastructure systems with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1288-1293.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:cdl:itsdav:qt0jc0v1gn. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    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.