IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v45y2018i1d10.1007_s11116-016-9726-2.html
   My bibliography  Save this article

Integration of a phone-based household travel survey and a web-based student travel survey

Author

Listed:
  • Hubert Verreault

    (Ecole Polytechnique de Montréal)

  • Catherine Morency

    (Polytechnique Montréal)

Abstract

A significant share of transportation forecasting models are based on household travel survey data, frequently gathered through phone-based travel surveys. Over the last decade, these surveys have faced a variety of issues, namely a decrease in response rates and increases in potential sampling biases since their sampling frames are typically constructed using a list of land-line numbers. Although the weighting process can manage some of these issues, their scale is becoming a problem. In recent years, several experiments have been conducted in order to integrate multiple survey methods and data sources to obtain better quality databases. This paper reports on an experimentation conducted in 2012 in the region of Sherbrooke, in the province of Quebec, Canada. A web based travel survey was conducted among the regions’ student population—in parallel to the large-scale household phone travel survey- in order to increase both the representativeness of the sampling frame and the response rate among 20–29 year-olds. This paper presents the methodology used to integrate both survey samples in order to create a more representative view of typical travel behaviors in the region of Sherbrooke. The paper demonstrates that by combining the samples, we succeed in reducing heterogeneity in sampling rates among population segments which translates into an increase in trip rates (global and transit) for the target population. Challenges related to the combination of survey methods and samples are discussed.

Suggested Citation

  • Hubert Verreault & Catherine Morency, 2018. "Integration of a phone-based household travel survey and a web-based student travel survey," Transportation, Springer, vol. 45(1), pages 89-103, January.
    • Handle: RePEc:kap:transp:v:45:y:2018:i:1:d:10.1007_s11116-016-9726-2
    DOI: 10.1007/s11116-016-9726-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-016-9726-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-016-9726-2?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
    ---><---

    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. Caroline Bayart & Patrick Bonnel & Catherine Morency, 2008. "Survey Mode Integration and Data Fusion: Methods and challenges," Post-Print halshs-00329174, HAL.
    2. Caroline Bayart & Patrick Bonnel, 2012. "Combining web and face-to-face in travel surveys: comparability challenges?," Transportation, Springer, vol. 39(6), pages 1147-1171, November.
    3. Stopher, Peter R. & Greaves, Stephen P., 2007. "Household travel surveys: Where are we going?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 367-381, June.
    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. Nina Verzosa & Stephen Greaves & Chinh Ho & Mark Davis, 2021. "Stated willingness to participate in travel surveys: a cross-country and cross-methods comparison," Transportation, Springer, vol. 48(3), pages 1311-1327, June.
    2. Takuya Maruyama & Kenta Hosotani & Tomoki Kawano, 2021. "Inferring proxy response in household travel surveys with unknown completer using a group-based choice model," Transportation, Springer, vol. 48(1), pages 283-302, February.
    3. 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.

    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. Caroline Bayart & Patrick Bonnel, 2015. "How to Combine Survey Media (Web, Telephone, Face-to-Face): Lyon and Rhône-alps Case Study," Post-Print halshs-01663683, HAL.
    2. Patrick Bonnel & Caroline Bayart & Brett Smith, 2015. "Workshop Synthesis: Comparing and Combining Survey Modes," Post-Print halshs-01663724, HAL.
    3. Mir Aftab Hussain Talpur & Madzlan Napiah & Imtiaz Ahmed Chandio & Shabir Hussain Khahro, 2012. "Transportation Planning Survey Methodologies for the Proposed Study of Physical and Socio-economic Development of Deprived Rural Regions: A Review," Modern Applied Science, Canadian Center of Science and Education, vol. 6(7), pages 1-1, July.
    4. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, DJ & Kote, Thejovardhana & Sengupta, Raja & Walker, Joan L., 2011. "The Quantified Traveler: Using personal travel data to promote sustainable transport behavior," University of California Transportation Center, Working Papers qt9jg0p1rj, University of California Transportation Center.
    5. Gingerich, Kevin & Maoh, Hanna & Anderson, William, 2016. "Expansion of a GPS Truck Trip Sample to Remove Bias and Obtain Representative Flows for Ontario," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319310, Transportation Research Forum.
    6. Aihua Fan & Xumei Chen, 2020. "Exploring the Relationship between Transport Interventions, Mode Choice, and Travel Perception: An Empirical Study in Beijing, China," IJERPH, MDPI, vol. 17(12), pages 1-19, June.
    7. Li, Linchao & Zhu, Jiasong & Zhang, Hailong & Tan, Huachun & Du, Bowen & Ran, Bin, 2020. "Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 282-292.
    8. Chen, Cynthia & Gong, Hongmian & Lawson, Catherine & Bialostozky, Evan, 2010. "Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 830-840, December.
    9. Winters, Meghan & Voss, Christine & Ashe, Maureen C. & Gutteridge, Kaitlyn & McKay, Heather & Sims-Gould, Joanie, 2015. "Where do they go and how do they get there? Older adults' travel behaviour in a highly walkable environment," Social Science & Medicine, Elsevier, vol. 133(C), pages 304-312.
    10. Fabre, Léa & Bayart, Caroline & Bonnel, Patrick & Mony, Nicolas, 2023. "The potential of Wi-Fi data to estimate bus passenger mobility," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    11. Bayart, Caroline & Bonnel, Patrick & Havet, Nathalie, 2018. "Daily (im)mobility behaviours in France: An application of hurdle models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 456-467.
    12. Barbara Vis & Sjoerd Stolwijk, 2021. "Conducting quantitative studies with the participation of political elites: best practices for designing the study and soliciting the participation of political elites," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1281-1317, August.
    13. Aschauer, Florian & Hössinger, Reinhard & Jara-Diaz, Sergio & Schmid, Basil & Axhausen, Kay & Gerike, Regine, 2021. "Comprehensive data validation of a combined weekly time use and travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 66-82.
    14. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, DJ & Kote, Thejovardhana & Sengupta, Raja & Walker, Joan L., 2011. "The Quantified Traveler: Using personal travel data to promote sustainable transport behavior," University of California Transportation Center, Working Papers qt678537sx, University of California Transportation Center.
    15. Patrick Bonnel & Etienne Hombourger & Ana-Maria Olteanu-Raimond & Zbigniew Smoreda, 2015. "Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations," Post-Print halshs-01664219, HAL.
    16. Lukas Hartwig & Reinhard Hössinger & Yusak Octavius Susilo & Astrid Gühnemann, 2022. "The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    17. Wang, Xiang & Tong, Jiaxin & Zong, Weiyan & Lv, Yanqing & Shen, Jiayan, 2024. "Trip misreporting mining and expansion method for household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    18. Michael Adjemian & Jeffrey Williams, 2009. "Using census aggregates to proxy for household characteristics: an application to vehicle ownership," Transportation, Springer, vol. 36(2), pages 223-241, March.
    19. Nina Verzosa & Stephen Greaves & Chinh Ho & Mark Davis, 2021. "Stated willingness to participate in travel surveys: a cross-country and cross-methods comparison," Transportation, Springer, vol. 48(3), pages 1311-1327, June.
    20. Hannah Badland & Phil Donovan & Suzanne Mavoa & Melody Oliver & Moushumi Chaudhury & Karen Witten, 2015. "Assessing neighbourhood destination access for children: development of the NDAI-C audit tool," Environment and Planning B, , vol. 42(6), pages 1148-1160, November.

    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:kap:transp:v:45:y:2018:i:1:d:10.1007_s11116-016-9726-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.