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Comparing respondent characteristics based on different travel survey data collection and respondent recruitment methods
Swedish National Road and Transport Research Institute, Traffic and road users, Traffic Safety and Traffic System.ORCID iD: 0000-0002-7080-5176
Swedish National Road and Transport Research Institute, Traffic and road users, Traffic Safety and Traffic System.ORCID iD: 0000-0001-6707-6569
Swedish National Road and Transport Research Institute, Society, environment and transport, Mobility, actors and planning processes.ORCID iD: 0000-0003-3856-5421
2020 (English)In: Case Studies on Transport Policy, ISSN 2213-624X, E-ISSN 2213-6258, Vol. 8, no 3, p. 870-877Article in journal (Refereed) Published
Abstract [en]

Internet offers new ways of collecting travel data, such as online questionnaires and smartphone applications which can be further combined with new recruitment methods, such as web panels and crowdsourcing. However such non-random recruitment methods may also have an impact on the characteristics of the recruited respondents. This paper investigates the characteristics of respondents’ profiles resulting from new recruitment methods (i.e., random sample, web panel and crowdsourcing) combined with an online questionnaire and a mobile application, compared to a register population. The results show that only the randomly recruited mobile app responses did not deviate significantly from the register data. However, this method shows the lowest response rate. The web panel attracted more respondents who were not gainfully employed, cohabiting in a flat without children. On the other hand, crowdsourcing deviated the most from the register data, although it showed the highest number of responses in both collection methods, particularly with regard to the online questionnaire. Crowdsourcing attracted many more women within the working age bracket (25–64), gainfully employed, holding a driving licence, most likely childless and cohabiting. An improvement in number of respondents and data richness may be a trade-off for traditional methods combined with online questionnaires and mobile app usage. A possible approach may include (i) a full scale traditional travel survey (e.g., every five years), (ii) online web panel surveys annually, to monitor changes over time, and (iii) mobile app surveys to increase data accuracy in terms of trip attributes. An interesting future research direction is to investigate different approaches to weighting the collected travel information, especially for the web panel and crowdsourcing recruitment methods.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 8, no 3, p. 870-877
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-15350DOI: 10.1016/j.cstp.2020.05.015Scopus ID: 2-s2.0-85085601559OAI: oai:DiVA.org:vti-15350DiVA, id: diva2:1453052
Available from: 2020-07-08 Created: 2020-07-08 Last updated: 2024-06-20Bibliographically approved

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Silvano, Ary P.Eriksson, JennyHenriksson, Per

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