IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v18y2011i1p13-22.html
   My bibliography  Save this article

Are intrazonal trips ignorable?

Author

Listed:
  • Bhatta, Bharat P.
  • Larsen, Odd I.

Abstract

Intrazonal trips are not always included in model estimation because they do not appear on a network in centroid-to-centroid travel. It is also presumed that their exclusion does not affect model results. This paper tests the above presumption by examining the assumptions of ignorable missingness. The results indicate that omitting intrazonal trips in model estimation results in biased sample. Consequently, parameter estimates get biased. The paper also compares the results of travel mode choice models by excluding and including the intrazonal trips in model estimation.

Suggested Citation

  • Bhatta, Bharat P. & Larsen, Odd I., 2011. "Are intrazonal trips ignorable?," Transport Policy, Elsevier, vol. 18(1), pages 13-22, January.
    • Handle: RePEc:eee:trapol:v:18:y:2011:i:1:p:13-22
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967-070X(10)00053-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Susan Handy & Kelly Clifton, 2001. "Local shopping as a strategy for reducing automobile travel," Transportation, Springer, vol. 28(4), pages 317-346, November.
    2. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.
    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. Cheng, Jianquan & Bertolini, Luca, 2013. "Measuring urban job accessibility with distance decay, competition and diversity," Journal of Transport Geography, Elsevier, vol. 30(C), pages 100-109.
    2. Ouassim Manout & Patrick Bonnel, 2019. "The impact of ignoring intrazonal trips in assignment models: a stochastic approach," Transportation, Springer, vol. 46(6), pages 2397-2417, December.
    3. Keunhyun Park & Sadegh Sabouri & Torrey Lyons & Guang Tian & Reid Ewing, 2020. "Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model," Transportation, Springer, vol. 47(5), pages 2087-2108, October.
    4. Eric Pestel, 2021. "Considerations about the quality assessment of travel time and travel distance distributions in transport modelling: a proposal for a standardized methodology," Transportation, Springer, vol. 48(3), pages 1285-1309, June.
    5. Raffler, Clemens & Brezina, Tadej & Emberger, Günter, 2019. "Cycling investment expedience: Energy expenditure based Cost-Path Analysis of national census bicycle commuting data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 360-373.
    6. Tae-Hyoung Tommy Gim, 2018. "An Analysis of the Relationship between Land Use and Weekend Travel: Focusing on the Internal Capture of Trips," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    7. Thuy Linh Hoang & Muhammad Adnan & Anh Tuan Vu & Nguyen Hoang-Tung & Bruno Kochan & Tom Bellemans, 2022. "Modeling and Structuring of Activity Scheduling Choices with Consideration of Intrazonal Tours: A Case Study of Motorcycle-Based Cities," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    8. Hu, Yujie & Wang, Changzhen & Li, Ruiyang & Wang, Fahui, 2020. "Estimating a large drive time matrix between ZIP codes in the United States: A differential sampling approach," Journal of Transport Geography, Elsevier, vol. 86(C).

    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. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    2. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    3. Cornelis Dirk van Goeverden, 2021. "The value of travel speed," Papers 2106.06599, arXiv.org.
    4. Vance, Colin & Procher, Vivien, 2013. "Who Does the Shopping? German time-use evidence, 1996-2009," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2357, pages 125-133.
    5. Hiroaki Sandoh & Risa Suzuki, 2015. "Large-Scaled Chain Stores versus Small-Scaled Local Stores of the Local Production for Local Consumption," Discussion Papers in Economics and Business 15-16-Rev.3, Osaka University, Graduate School of Economics, revised Sep 2015.
    6. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    7. Susilo, Yusak O. & Williams, Katie & Lindsay, Morag & Dair, Carol, 2012. "The influence of individuals’ environmental attitudes and urban design features on their travel patterns in sustainable neighborhoods in the UK," Working papers in Transport Economics 2012:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    8. David Gálvez Ruiz & Pilar Diaz Cuevas & Olta Braçe & Marco Garrido-Cumbrera, 2018. "Developing an Index to Measure Sub-municipal Level Urban Sprawl," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 929-952, December.
    9. Hoyos, David & Mariel, Petr & Fernández-Macho, Javier, 2009. "The influence of cultural identity on the WTP to protect natural resources: Some empirical evidence," Ecological Economics, Elsevier, vol. 68(8-9), pages 2372-2381, June.
    10. Næss, Petter, 2012. "Urban form and travel behavior: experience from a Nordic context," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 21-45.
    11. Steven R Gehrke & Kelly J Clifton, 2019. "An activity-related land use mix construct and its connection to pedestrian travel," Environment and Planning B, , vol. 46(1), pages 9-26, January.
    12. Baldwin Hess, Daniel, 2009. "Access to Public Transit and Its Influence on Ridership for Older Adults in Two U.S. Cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(1), pages 3-27.
    13. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    14. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice," Transport Policy, Elsevier, vol. 18(2), pages 326-335, March.
    15. Teng Zhong & Guonian Lü & Xiuming Zhong & Haoming Tang & Yu Ye, 2020. "Measuring Human-Scale Living Convenience through Multi-Sourced Urban Data and a Geodesign Approach: Buildings as Analytical Units," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    16. Elldér, Erik, 2014. "Residential location and daily travel distances: the influence of trip purpose," Journal of Transport Geography, Elsevier, vol. 34(C), pages 121-130.
    17. Ivan Jeliazkov & Angela Vossmeyer, 2018. "The impact of estimation uncertainty on covariate effects in nonlinear models," Statistical Papers, Springer, vol. 59(3), pages 1031-1042, September.
    18. Mariel, Petr & Ayala, Amaya de & Hoyos, David & Abdullah, Sabah, 2013. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," Journal of choice modelling, Elsevier, vol. 7(C), pages 44-57.
    19. Forsyth, Ann & Lytle, Leslie & Van Riper, David, 2010. "Finding food: Issues and challenges in using Geographic Information Systems (GIS) to measure food access," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 43-65.
    20. Jiahui Qin & Shijia Luo & Disheng Yi & Heping Jiang & Jing Zhang, 2022. "Measuring Cluster-Based Spatial Access to Shopping Stores under Real-Time Travel Time," Sustainability, MDPI, vol. 14(4), pages 1-21, 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:trapol:v:18:y:2011:i:1:p:13-22. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.