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Continuous Mobility Surveys: The State of Practice

Author

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  • Juan De Dios Ortúzar
  • Jimmy Armoogum
  • Jean‐Loup Madre
  • Françoise Potier

Abstract

In this paper we challenge the prevailing practice of conducting one‐off cross‐sectional mobility surveys, making a case for change on the basis of usefulness and cost‐effectiveness. We believe that urban areas over say, one million inhabitants, should collect mobility data on a continuous basis as part of their efforts to guarantee sustainable development. This would allow them to gain a proper understanding of the pressing environmental and transport‐related issues of today’s world, as well as of the effects of economic growth and price (especially for fuel) volatility. In our scope we include panel data (i.e. information from a smaller sample of respondents who are interviewed at different points in time, hopefully during several years), as this type of information is unique in its ability to help understanding behavioural changes and the impact of time‐related effects, such as habit and inertia. We revise the state of affairs in different parts of the world, not limiting ourselves to urban data.

Suggested Citation

  • Juan De Dios Ortúzar & Jimmy Armoogum & Jean‐Loup Madre & Françoise Potier, 2011. "Continuous Mobility Surveys: The State of Practice," Transport Reviews, Taylor & Francis Journals, vol. 31(3), pages 293-312.
    • Handle: RePEc:taf:transr:v:31:y:2011:i:3:p:293-312
    DOI: 10.1080/01441647.2010.510224
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    Citations

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    Cited by:

    1. Lissy Paix & Abu Toasin Oakil & Frank Hofman & Karst Geurs, 2022. "The influence of panel effects and inertia on travel cost elasticities for car use and public transport," Transportation, Springer, vol. 49(3), pages 989-1016, June.
    2. Lukas Spengler & Eva Gößwein & Ingmar Kranefeld & Magnus Liebherr & Frédéric Etienne Kracht & Dieter Schramm & Marc Gennat, 2023. "From Modeling to Optimizing Sustainable Public Transport: A New Methodological Approach," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    3. Faan Chen & Adriano Borges Costa, 2024. "Exploring the causal effects of the built environment on travel behavior: a unique randomized experiment in Shanghai," Transportation, Springer, vol. 51(1), pages 215-245, February.
    4. Frank Witlox, 2015. "Beyond the Data Smog?," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 245-249, May.
    5. Maarten Kroesen & Susan Handy, 2014. "The relation between bicycle commuting and non-work cycling: results from a mobility panel," Transportation, Springer, vol. 41(3), pages 507-527, May.
    6. La Paix Puello, Lissy & Olde-Kalter, Marie-José & Geurs, Karst T., 2017. "Measurement of non-random attrition effects on mobility rates using trip diaries data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 51-64.
    7. Wafic El-Assi & Catherine Morency & Eric J. Miller & Khandker Nurul Habib, 2020. "Investigating the capacity of continuous household travel surveys in capturing the temporal rhythms of travel demand," Transportation, Springer, vol. 47(4), pages 1787-1808, August.
    8. Danalet, Antonin & Tinguely, Loïc & Lapparent, Matthieu de & Bierlaire, Michel, 2016. "Location choice with longitudinal WiFi data," Journal of choice modelling, Elsevier, vol. 18(C), pages 1-17.
    9. Deschaintres, Elodie & Morency, Catherine & Trépanier, Martin, 2022. "Cross-analysis of the variability of travel behaviors using one-day trip diaries and longitudinal data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 228-246.
    10. Thomas Feilhauer & Florian Braun & Katja Faller & David Hutter & Daniel Mathis & Johannes Neubauer & Jasmin Pogatschneg & Michelle Weber, 2021. "Mobility Choices—An Instrument for Precise Automatized Travel Behavior Detection & Analysis," Sustainability, MDPI, vol. 13(4), pages 1-23, February.

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