IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v17y2015i1p61-81.html
   My bibliography  Save this article

Revisiting the destination ranking procedure in development of an Intervening Opportunities Model for public transit trip distribution

Author

Listed:
  • Mohsen Nazem
  • Martin Trépanier
  • Catherine Morency

Abstract

An Enhanced Intervening Opportunities Model (EIOM) is developed for Public Transit (PT). This is a distribution supply dependent model, with single constraints on trip production for work trips during morning peak hours (6:00 a.m.–9:00 a.m.) within the Island of Montreal, Canada. Different data sets, including the 2008 Origin–Destination (OD) survey of the Greater Montreal Area, the 2006 Census of Canada, GTFS network data, along with the geographical data of the study area, are used. EIOM is a nonlinear model composed of socio-demographics, PT supply data and work location attributes. An enhanced destination ranking procedure is used to calculate the number of spatially cumulative opportunities, the basic variable of EIOM. For comparison, a Basic Intervening Opportunities Model (BIOM) is developed by using the basic destination ranking procedure. The main difference between EIOM and BIOM is in the destination ranking procedure: EIOM considers the maximization of a utility function composed of PT Level Of Service and number of opportunities at the destination, along with the OD trip duration, whereas BIOM is based on a destination ranking derived only from OD trip durations. Analysis confirmed that EIOM is more accurate than BIOM. This study presents a new tool for PT analysts, planners and policy makers to study the potential changes in PT trip patterns due to changes in socio-demographic characteristics, PT supply, and other factors. Also it opens new opportunities for the development of more accurate PT demand models with new emergent data such as smart card validations. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Mohsen Nazem & Martin Trépanier & Catherine Morency, 2015. "Revisiting the destination ranking procedure in development of an Intervening Opportunities Model for public transit trip distribution," Journal of Geographical Systems, Springer, vol. 17(1), pages 61-81, January.
    • Handle: RePEc:kap:jgeosy:v:17:y:2015:i:1:p:61-81
    DOI: 10.1007/s10109-014-0203-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10109-014-0203-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10109-014-0203-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. de Grange, Louis & Troncoso, Rodrigo & Ibeas, Angel & González, Felipe, 2009. "Gravity model estimation with proxy variables and the impact of endogeneity on transportation planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 105-116, February.
    2. Pingzhao Hu & Jim Pooler, 2002. "An empirical test of the competing destinations model," Journal of Geographical Systems, Springer, vol. 4(3), pages 301-323, October.
    3. Daniel C. Knudsen & A. Stewart Fotheringham, 1986. "Matrix Comparison, Goodness-of-Fit, and Spatial Interaction Modeling," International Regional Science Review, , vol. 10(2), pages 127-147, August.
    4. Patrick Bonnel, 2004. "Prévoir la demande de transport," Post-Print halshs-00077292, HAL.
    5. Siaw Akwawua & James A. Pooler, 2001. "The development of an intervening opportunities model with spatial dominance effects," Journal of Geographical Systems, Springer, vol. 3(1), pages 69-86, May.
    6. S. Veenstra & T. Thomas & S. Tutert, 2010. "Trip distribution for limited destinations: a case study for grocery shopping trips in the Netherlands," Transportation, Springer, vol. 37(4), pages 663-676, July.
    7. Morton Schneider, 1959. "Gravity Models And Trip Distribution Theory," Papers in Regional Science, Wiley Blackwell, vol. 5(1), pages 51-56, January.
    8. Wills, Michael J., 1986. "A flexible gravity-opportunities model for trip distribution," Transportation Research Part B: Methodological, Elsevier, vol. 20(2), pages 89-111, April.
    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. Oshan, Taylor M., 2022. "Spatial Interaction Modeling," OSF Preprints m3ah8, Center for Open Science.

    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. Louis Grange & Angel Ibeas & Felipe González, 2011. "A Hierarchical Gravity Model with Spatial Correlation: Mathematical Formulation and Parameter Estimation," Networks and Spatial Economics, Springer, vol. 11(3), pages 439-463, September.
    2. Lenormand, Maxime & Bassolas, Aleix & Ramasco, José J., 2016. "Systematic comparison of trip distribution laws and models," Journal of Transport Geography, Elsevier, vol. 51(C), pages 158-169.
    3. Koji Murayama & Jun Nagayasu & Lamia Bazzaoui, 2022. "Spatial Dependence, Social Networks, and Economic Structures in Japanese Regional Labor Migration," Sustainability, MDPI, vol. 14(3), pages 1-31, February.
    4. Cascetta, Ennio & Papola, Andrea, 2009. "Dominance among alternatives in random utility models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 170-179, February.
    5. Boshuai Zhao & Juliang Zhang & Wenchao Wei, 2019. "Impact of Time Restriction and Logistics Sprawl on Urban Freight and Environment: The Case of Beijing Agricultural Freight," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    6. Louis Grange & Felipe González & Ignacio Vargas & Rodrigo Troncoso, 2015. "A Logit Model With Endogenous Explanatory Variables and Network Externalities," Networks and Spatial Economics, Springer, vol. 15(1), pages 89-116, March.
    7. Basnak, Paul & Giesen, Ricardo & Muñoz, Juan Carlos, 2020. "Technology choices in public transport planning: A classification framework," Research in Transportation Economics, Elsevier, vol. 83(C).
    8. Manout, Ouassim & Bonnel, Patrick & Bouzouina, Louafi, 2018. "Transit accessibility: A new definition of transit connectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 88-100.
    9. McArthur, David Philip & Kleppe, Gisle & Thorsen, Inge & Ubøe, Jan, 2011. "The spatial transferability of parameters in a gravity model of commuting flows," Journal of Transport Geography, Elsevier, vol. 19(4), pages 596-605.
    10. Beata Udvari, 2016. "The Aid for Trade initiative and the export performance of the Iberian EU-countries," IWE Working Papers 225, Institute for World Economics - Centre for Economic and Regional Studies.
    11. S. Veenstra & T. Thomas & S. Tutert, 2010. "Trip distribution for limited destinations: a case study for grocery shopping trips in the Netherlands," Transportation, Springer, vol. 37(4), pages 663-676, July.
    12. Ana Lúcia Marto Sargento, 2007. "Empirical Examination of the Gravity Model in two Different Contexts: Estimation and Explanation," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 27(2), pages 103-127, August.
    13. Ouassim Manout & Patrick Bonnel & François Pacull, 2021. "Spatial Aggregation Issues in Traffic Assignment Models," Networks and Spatial Economics, Springer, vol. 21(1), pages 1-29, March.
    14. Alain Bonnafous & Pablo Jensen & William Roy, 2006. "Le cofinancement usager - contribuable et le partenariat public-privé changent les termes de l'évaluation des programmes d'investissement public," Economie & Prévision, La Documentation Française, vol. 0(4), pages 15-30.
    15. Batten, David & Fischer, Manfred M., 1992. "Two Alternative Macro-Based Approaches to Model Telecommunication Traffic," MPRA Paper 78269, University Library of Munich, Germany.
    16. Hu, Xinlei & Wang, Xiaokun (Cara) & Ni, Linglin & Shi, Feng, 2022. "The impact of intercity economic complementarity on HSR volume in the context of megalopolization," Journal of Transport Geography, Elsevier, vol. 98(C).
    17. Michael Batty, 1972. "Recent Developments in Land-Use Modelling: a Review of British Research," Urban Studies, Urban Studies Journal Limited, vol. 9(2), pages 151-177, June.
    18. Liv Osland & Inge Thorsen & Jens Petter Gitlesen, 2004. "The impact of labour market accessibility on housing prices," ERSA conference papers ersa04p355, European Regional Science Association.
    19. Mengyao Ren & Yaoyu Lin & Meihan Jin & Zhongyuan Duan & Yongxi Gong & Yu Liu, 2020. "Examining the effect of land-use function complementarity on intra-urban spatial interactions using metro smart card records," Transportation, Springer, vol. 47(4), pages 1607-1629, August.
    20. Sahar Babri & Kurt Jørnsten & Michael Viertel, 2017. "Application of gravity models with a fixed component in the international trade flows of coal, iron ore and crude oil," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 334-351, June.

    More about this item

    Keywords

    Destination ranking; Intervening Opportunities Model; Public transit planning; Supply dependent model; Trip distribution; C1; C4; C6;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

    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:kap:jgeosy:v:17:y:2015:i:1:p:61-81. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.