IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v19y2011i4p563-574.html
   My bibliography  Save this article

Methods for determining route distances in active commuting – Their validity and reproducibility

Author

Listed:
  • Stigell, Erik
  • Schantz, Peter

Abstract

Distance is a variable of pivotal importance in transport studies. Therefore, after checking the validity of a potential criterion method for measuring active commuting route distances, this method was used to assess the validity and reproducibility of four methods of approximating the commuting route distances covered by pedestrians and bicyclists. The methods assessed were: self-estimated distance, straight-line distance, GIS shortest-route distance, and GPS-measured distance. For this purpose, participants were recruited when walking or bicycling in Stockholm, Sweden. Questionnaires and individually-adjusted maps were sent twice to 133 participants. The distances of map-drawn commuting routes functioned as criterion distances. The participants were also asked to estimate their distances. The straight-line distance between origin and destination was measured using map-drawn routes. The shortest route between home addresses and workplace addresses was calculated with three GIS algorithms. Eighty-six trips were measured with GPS. The main results were that test–retest intraclass correlation coefficients (ICC) exceeded 0.99 for all methods, except for self-estimated distance (ICC=0.76). No order effects existed between test and retest. Significant differences were, however, noted between criterion distance and self-estimated distance (114±63%), straight-line distance (79.1±10.5%), GIS shortest route (112±18% to 121±22%) and GPS distance (105±4%). We conclude that commonly-used distance estimation methods produce systematic errors of differing magnitudes when used in a context of active commuting in suburban and urban environments. These errors can at average level be corrected for, whereas individual relative errors will remain.

Suggested Citation

  • Stigell, Erik & Schantz, Peter, 2011. "Methods for determining route distances in active commuting – Their validity and reproducibility," Journal of Transport Geography, Elsevier, vol. 19(4), pages 563-574.
  • Handle: RePEc:eee:jotrge:v:19:y:2011:i:4:p:563-574
    DOI: 10.1016/j.jtrangeo.2010.06.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692310000876
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2010.06.006?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. Tim Schwanen & Frans M. Dieleman & Martin Dijst, 2004. "The Impact of Metropolitan Structure on Commute Behavior in the Netherlands: A Multilevel Approach," Growth and Change, Wiley Blackwell, vol. 35(3), pages 304-333, September.
    2. Piet Rietveld & Roger Vickerman, 2004. "Transport in regional science: The “death of distance” is premature," Advances in Spatial Science, in: Raymond J. G. M. Florax & David A. Plane (ed.), Fifty Years of Regional Science, pages 229-248, Springer.
    3. Scheiner, Joachim, 2010. "Interrelations between travel mode choice and trip distance: trends in Germany 1976–2002," Journal of Transport Geography, Elsevier, vol. 18(1), pages 75-84.
    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. Shatu, Farjana & Yigitcanlar, Tan, 2018. "Development and validity of a virtual street walkability audit tool for pedestrian route choice analysis—SWATCH," Journal of Transport Geography, Elsevier, vol. 70(C), pages 148-160.
    2. Martin Scoppa & Rim Anabtawi, 2021. "Connectivity in Superblock Street Networks: Measuring Distance, Directness, and the Diversity of Pedestrian Paths," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    3. 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.
    4. Peter Schantz & Lina Wahlgren & Jane Salier Eriksson & Johan Nilsson Sommar & Hans Rosdahl, 2018. "Estimating duration-distance relations in cycle commuting in the general population," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.
    5. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour," Journal of Transport Geography, Elsevier, vol. 74(C), pages 37-52.
    6. Václav Plevka & Pieter Segaert & Chris M. J. Tampère & Mia Hubert, 2016. "Analysis of travel activity determinants using robust statistics," Transportation, Springer, vol. 43(6), pages 979-996, November.
    7. Erik Stigell & Peter Schantz, 2015. "Active Commuting Behaviors in a Nordic Metropolitan Setting in Relation to Modality, Gender, and Health Recommendations," IJERPH, MDPI, vol. 12(12), pages 1-23, December.
    8. Peter Schantz, 2017. "Distance, Duration, and Velocity in Cycle Commuting: Analyses of Relations and Determinants of Velocity," IJERPH, MDPI, vol. 14(10), pages 1-14, October.

    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. 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.
    2. Jie Zhang & Yang Xie, 2015. "Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach," Sustainability, MDPI, vol. 7(9), pages 1-19, August.
    3. Qihao Liu & Yuzheng Liu & Chia-Lin Chen & Enrica Papa & Yantao Ling & Mengqiu Cao, 2023. "Is It Possible to Compete With Car Use? How Buses Can Facilitate Sustainable Transport," Urban Planning, Cogitatio Press, vol. 8(3), pages 69-83.
    4. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    5. Barbora Mazúrová & Ján Kollár & Gabriela Nedelová, 2021. "Travel Mode of Commuting in Context of Subjective Well-Being—Experience from Slovakia," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    6. Verhetsel, Ann & Vanelslander, Thierry, 2010. "What location policy can bring to sustainable commuting: an empirical study in Brussels and Flanders, Belgium," Journal of Transport Geography, Elsevier, vol. 18(6), pages 691-701.
    7. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    8. Rafael Henrique Moraes Pereira & Tim Schwanen, 2013. "Commute Time in Brazil (1992-2009): Differences Between Metropolitan Areas, by Income Levels and Gender," Discussion Papers 1813a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    9. Jaroslav Burian & Lenka Zajíčková & Igor Ivan & Karel Macků, 2018. "Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities," Social Sciences, MDPI, vol. 7(6), pages 1-25, May.
    10. Daniel Albalate & Germà Bel & Ferran A. Mazaira‐Font, 2022. "Geography and regional economic growth: The high cost of deviating from nature," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 360-388, March.
    11. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega, Raquel, 2022. "Revisiting excess commuting and self-employment: The case of Latin America," GLO Discussion Paper Series 1179, Global Labor Organization (GLO).
    12. Yue Liu & Jun Chen & Weiguang Wu & Jiao Ye, 2019. "Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    13. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2016. "Commuting Time And Household Responsibilities: Evidence Using Propensity Score Matching," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 332-359, March.
    14. Vaz, Eric & Aversa, Joseph, 2013. "A Graph Theory Approach for Geovisualization of Anthropogenic Land Use Change: An Application to Lisbon," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 1(4), pages 254-264.
    15. Diana Mok, 2007. "Do Two-earner Households Base Their Choice of Residential Location on Both Incomes?," Urban Studies, Urban Studies Journal Limited, vol. 44(4), pages 723-750, April.
    16. Rafael Henrique Moraes Pereira & Vanessa Nadalin & Leonardo Monasterio & Pedro Henrique Melo Albuquerque, 2012. "Quantifying Urban Centrality: A Simple Index Proposal And International Comparison," Discussion Papers 1675, Instituto de Pesquisa Econômica Aplicada - IPEA.
    17. Benassi, Federico & Boeri, Marco & Elezi, Pranvera & Zindato, Donatella, 2016. "The importance of spatial adjustment processes in the labour force: the case of Albania," MPRA Paper 74500, University Library of Munich, Germany.
    18. Vickerman, Roger, 2003. "Transport in an Integrating Europe: Sustainable Development and Cohesion," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 3, pages 163-174.
    19. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    20. Korsu, Emre & Le Néchet, Florent, 2017. "Would fewer people drive to work in a city without excess commuting? Explorations in the Paris metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 259-274.

    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:19:y:2011:i:4:p:563-574. 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.