Highlights We executed the same survey of airline itinerary choice on Amazon Mechanical Turk (AMT) and on Qualtrics. Prior air travel characteristics are similar for the two populations. AMT respondents are more likely to be younger, be male, and have low incomes. Airline preferences for connections, elapsed time, and departure time of day are similar. AMT respondents under age 65 are more price-sensitive than Qualtrics respondents.

    Abstract Within the transportation community, there has been increasing interest in using online outsourcing platforms such as Amazon Mechanical Turk (AMT) to conduct surveys. To date, transportation researchers’ use of AMT has been justified based on findings from studies in other fields. That is, to the best of our knowledge, there has been no study that has evaluated how the distribution of responses associated with each question and behavioral model estimated from AMT survey data compares to survey data collected from a traditional platform for a travel behavior application. This paper fills an important gap in the literature by examining (1) whether the distributions of responses from AMT and Qualtrics (a traditional market research firm) respondents are statistically equivalent, and (2) whether itinerary choice models estimated from these two surveys are statistically equivalent? Results show that AMT and Qualtrics respondents reported similar air trip characteristics and were drawn from a similar geographic distribution, but they exhibited distinct sociodemographic characteristics. After controlling for different age distributions in the two datasets, we found that airline itinerary choice models estimated from the AMT and Qualtrics survey data produced similar results, with the key difference related to price sensitivities. Our study provides preliminary evidence on the viability of using AMT and similar online outsourcing platforms for air travel behavior studies.


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    Titel :

    Using Internet-based marketplaces to conduct surveys: An application to airline itinerary choice models


    Beteiligte:


    Erscheinungsdatum :

    2019-03-26


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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