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Transport survey methods - in the era of big data facing new and old challenges

Author

Listed:
  • Patrick Bonnel

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Marcela Munizaga

    (UCHILE - Universidad de Chile = University of Chile [Santiago])

Abstract

This document presents an introduction to the ISCTSC Special Issue of Transport Research Procedia. It synthesizes the discussions held at the 11th International Conference on Transport Survey Methods, and describes the contents of the selected contributions. This conference has been held in different countries from all over the world, involving an increasing group of enthusiastic and generous specialists, willing to share their knowledge. This 11th conference was an opportunity to discuss the state of the art on transport survey methods, but also to question the way transport surveys are conducted in the era of big data. We took the opportunity to identify the main challenges, and the most important questions.

Suggested Citation

  • Patrick Bonnel & Marcela Munizaga, 2018. "Transport survey methods - in the era of big data facing new and old challenges," Post-Print halshs-02115957, HAL.
    • Handle: RePEc:hal:journl:halshs-02115957
    DOI: 10.1016/j.trpro.2018.10.001
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    Citations

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    Cited by:

    1. Jacqueline Arriagada & Claudio Mena & Marcela Munizaga & Daniel Schwartz, 2023. "The effect of economic incentives and cooperation messages on user participation in crowdsourced public transport technologies," Transportation, Springer, vol. 50(5), pages 1585-1612, October.
    2. Laila Oubahman & Szabolcs Duleba, 2022. "A Comparative Analysis of Homogenous Groups’ Preferences by Using AIP and AIJ Group AHP-PROMETHEE Model," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    3. Egu, Oscar & Bonnel, Patrick, 2020. "How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical investigation in Lyon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 267-282.
    4. 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.
    5. Croce, Antonello Ignazio & Musolino, Giuseppe & Rindone, Corrado & Vitetta, Antonino, 2019. "Sustainable mobility and energy resources: A quantitative assessment of transport services with electrical vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    6. Liping Ge & Malek Sarhani & Stefan Voß & Lin Xie, 2021. "Review of Transit Data Sources: Potentials, Challenges and Complementarity," Sustainability, MDPI, vol. 13(20), pages 1-37, October.
    7. Peter Horbachov & Oleksandr Makarichev & Stanislav Svichynskyi & Ihor Ivanov, 2022. "Framework for designing sample travel surveys for transport demand modelling in cities," Transportation, Springer, vol. 49(1), pages 115-136, February.

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