IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v88y2020ics096669232030939x.html
   My bibliography  Save this article

The end of travel time matrices: Individual travel times in integrated land use/transport models

Author

Listed:
  • Kuehnel, Nico
  • Ziemke, Dominik
  • Moeckel, Rolf
  • Nagel, Kai

Abstract

To reduce inaccuracies due to insufficient spatial resolution of models, it has been suggested to use smaller raster cells instead of larger zones. Increasing the number of zones, however, increases the size of a matrix to store travel times, called skim tables in transport modeling. Those become difficult to create, to store and to read, while most of the origin-destination pairs are calculated and stored but never used. At the same time, such approaches do not solve inaccuracies due to lack of temporal resolution. This paper analyzes the use of personalized travel times at the finest spatial resolution possible (at x/y coordinates) and a detailed temporal resolution for synthetic agents. The approach is tested in the context of an existing integrated land use/transport model (ILUT) where travel times affect, among others, household relocation decisions. In this paper, person-level individual travel times are compared to traditional skim-based travel times to identify the extent of errors caused by spatial and temporal aggregation and how they affect relocation decisions in the model. It was shown that skim-based travel times fail to capture the spatial and temporal variations of travel times available at a microscopic scale of an agent-based ILUT model. Skims may provide acceptable averages for car travel times if a dense network and small zones are used. Transit travel times, however, suffer from temporal and spatial aggregation of skims. When analyzing travel-time-dependent relocation decisions in the land use model, transit captive households tend to react more sensitively to the transit level of service when individual travel times are used. The findings add to the existing literature a quantification of spatial biases in ILUT models and present a novel approach to overcome them. The presented methodology eliminates the impact of the chosen zone system on model results, and thereby, avoids biases caused by the modifiable spatial unit problem.

Suggested Citation

  • Kuehnel, Nico & Ziemke, Dominik & Moeckel, Rolf & Nagel, Kai, 2020. "The end of travel time matrices: Individual travel times in integrated land use/transport models," Journal of Transport Geography, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:jotrge:v:88:y:2020:i:c:s096669232030939x
    DOI: 10.1016/j.jtrangeo.2020.102862
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096669232030939X
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2020.102862?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
    ---><---

    References listed on IDEAS

    as
    1. Thomas W. Nicolai & Kai Nagel, 2014. "High resolution accessibility computations," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 4, pages 62-91, Edward Elgar Publishing.
    2. Isabelle Thomas & Jonathan Jones & Geoffrey Caruso & Philippe Gerber, 2018. "City delineation in European applications of LUTI models: review and tests," Transport Reviews, Taylor & Francis Journals, vol. 38(1), pages 6-32, January.
    3. Lovelace, Robin & Ballas, Dimitris & Watson, Matt, 2014. "A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels," Journal of Transport Geography, Elsevier, vol. 34(C), pages 282-296.
    4. Davidson, William & Donnelly, Robert & Vovsha, Peter & Freedman, Joel & Ruegg, Steve & Hicks, Jim & Castiglione, Joe & Picado, Rosella, 2007. "Synthesis of first practices and operational research approaches in activity-based travel demand modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 464-488, June.
    5. Stępniak, Marcin & Jacobs-Crisioni, Chris, 2017. "Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications," Journal of Transport Geography, Elsevier, vol. 61(C), pages 17-29.
    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. Raimbault, Juste & Le Néchet, Florent, 2021. "Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Souche, Stéphanie, 2009. "Un exemple d’estimation de la demande de transport urbain," Revue d'économie régionale et urbaine, Editions NecPlus, vol. 2009(04), pages 759-779, December.
    3. Ilaria Zambon & Artemi Cerdà & Filippo Gambella & Gianluca Egidi & Luca Salvati, 2019. "Industrial Sprawl and Residential Housing: Exploring the Interplay between Local Development and Land-Use Change in the Valencian Community, Spain," Land, MDPI, vol. 8(10), pages 1-18, September.
    4. Katrien Ramaekers & Sofie Reumers & Geert Wets & Mario Cools, 2013. "Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data," Networks and Spatial Economics, Springer, vol. 13(3), pages 351-372, September.
    5. Dewulf, Bart & Neutens, Tijs & Vanlommel, Mario & Logghe, Steven & De Maeyer, Philippe & Witlox, Frank & De Weerdt, Yves & Van de Weghe, Nico, 2015. "Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times," Journal of Transport Geography, Elsevier, vol. 48(C), pages 41-51.
    6. Hainan Huang & Yi Lin & Jiancheng Weng & Jian Rong & Xiaoming Liu, 2018. "Identification of Inelastic Subway Trips Based on Weekly Station Sequence Data: An Example from the Beijing Subway," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    7. Abdul Rawoof Pinjari & Chandra R. Bhat, 2011. "Activity-based Travel Demand Analysis," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 10, Edward Elgar Publishing.
    8. Ali Najmi & Taha H. Rashidi & Eric J. Miller, 2019. "A novel approach for systematically calibrating transport planning model systems," Transportation, Springer, vol. 46(5), pages 1915-1950, October.
    9. Ganić, Emir & Rajé, Fiona & van Oosten, Nico, 2023. "New perspectives on spatial and temporal aspects of aircraft noise: Dynamic noise maps for Heathrow airport," Journal of Transport Geography, Elsevier, vol. 106(C).
    10. Julia Salom-Carrasco & Carmen Zornoza-Gallego, 2024. "Morphometric Indicators for the Definition of New Territorial Units in the Periurban Space: Application to the Metropolitan Area of Valencia (Spain)," Land, MDPI, vol. 13(1), pages 1-23, January.
    11. Tveter, Eivind & Laird, James J. & Aalen, Peter, 2022. "Spatial aggregation error and agglomeration benefits from transport improvements," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 257-269.
    12. Nicholas Fournier & Eleni Christofa & Arun Prakash Akkinepally & Carlos Lima Azevedo, 2021. "Integrated population synthesis and workplace assignment using an efficient optimization-based person-household matching method," Transportation, Springer, vol. 48(2), pages 1061-1087, April.
    13. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    14. Pereira, Rafael H.M., 2019. "Future accessibility impacts of transport policy scenarios: Equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro," Journal of Transport Geography, Elsevier, vol. 74(C), pages 321-332.
    15. Manoj, M. & Verma, Ashish, 2015. "Activity–travel behaviour of non-workers from Bangalore City in India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 400-424.
    16. Ruihong Huang, 2019. "Simulating individual work trips for transit-facilitated accessibility study," Environment and Planning B, , vol. 46(1), pages 84-102, January.
    17. Dianna M. Smith & Alison Heppenstall & Monique Campbell, 2021. "Estimating Health over Space and Time: A Review of Spatial Microsimulation Applied to Public Health," J, MDPI, vol. 4(2), pages 1-11, June.
    18. Ho, Chinh Q. & Mulley, Corinne, 2013. "Multiple purposes at single destination: A key to a better understanding of the relationship between tour complexity and mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 206-219.
    19. Rosik, Piotr & Pomianowski, Wojciech & Komornicki, Tomasz & Goliszek, Sławomir & Szejgiec-Kolenda, Barbara & Duma, Patryk, 2020. "Regional dispersion of potential accessibility quotient at the intra-European and intranational level. Core-periphery pattern, discontinuity belts and distance decay tornado effect," Journal of Transport Geography, Elsevier, vol. 82(C).
    20. Eveline van Leeuwen & Yoshifumi Ishikawa & Peter Nijkamp, 2016. "Microsimulation and interregional input–output modelling as tools for multi-level policy analysis," Environment and Planning C, , vol. 34(1), pages 135-150, February.

    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:eee:jotrge:v:88:y:2020:i:c:s096669232030939x. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.