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Inferring proxy response in household travel surveys with unknown completer using a group-based choice model

Bibliographic Data

ID19339261
AuthorsTakuya Maruyama (0000-0001-8660-1728, Kumamoto University, corresponding author), Kenta Hosotani (Kumamoto University), Tomoki Kawano (Kumamoto University)
Year2021
Volume48
Issue1
Pages283-302
Publication date2021-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-019-10053-3
OpenAlexW2978925419
LanguageEN
Citations received5
References cited29

A proxy response is often accepted for household travel surveys to reduce the survey cost and increase the sample size, but proxy-response biases may be introduced into the sample data. To investigate and correct the bias, completer information for the survey is important, but such information is not always available in practice. This study proposes a novel model that can be applicable in situations where completer information is unavailable. The method introduces group-decision modeling in analyzing the response choices of the household travel survey, where the survey response is considered to be a task allocation among household members. The proposed model can infer the probability of proxy response and the proxy-response bias of trip-related records without completer information. The potential of the proposed model was confirmed by application to a household travel survey in Japan. The inferred probability of the proxy response and the inferred bias without completer data demonstrated surprisingly similar results to the existing study with actual proxy-response data. Specifically, the model inferred a high probability of proxy response in young adults and a low proxy probability in middle-aged females, and the model inferred the proxy-response bias that female proxy respondents in the middle-aged group report lower trip rates than self-respondents. This method will be valuable not only in travel surveys, but also in the general research and practice of social surveys

Data mining · Econometrics · Operations research · Proxy (statistics) · Response bias · Statistics · Survey data collection · Computer Science · Economic and Environmental Valuation · Mathematics · Survey Methodology and Nonresponse · Urban Transport and Accessibility

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Unique citing works5
Citations per year0,83
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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