Analyzing the Reporting Error of Public Transport Trips in the Danish National Travel Survey Using Smart Card Data

Author:

Sfeir Georges1,Rodrigues Filipe1,Zeid Maya Abou2,Pereira Francisco Camara1

Affiliation:

1. Technical University of Denmark

2. American University of Beirut

Abstract

Abstract Household travel surveys have been used for decades to collect individuals and households’ travel behavior. However, self-reported surveys are subject to recall bias, as respondents might struggle to recall and report their activities accurately. This study addresses examines the time reporting error of public transit users in a nationwide household travel survey by matching, at the individual level, five consecutive years of data from two sources, namely the Danish National Travel Survey (TU) and the Danish Smart Card system (Rejsekort). Survey respondents are matched with travel cards from the Rejsekort data solely based on the respondents’ declared spatiotemporal travel behavior. Approximately, 70% of the respondents were successfully matched with Rejsekort travel cards. The findings reveal a median time reporting error of 11.34 minutes, with an Interquartile Range of 28.14 minutes. Furthermore, a statistical analysis was performed to explore the relationships between the survey respondents’ reporting error and their socio-economic and demographic characteristics. The results indicate that females and respondents with a fixed schedule are in general more accurate than males and respondents with a flexible schedule in reporting their times of travel. Moreover, trips reported during weekdays or via the internet displayed higher accuracies compared to trips reported during weekends and holidays or via telephones. This disaggregated analysis provides valuable insights that could help in improving the design and analysis of travel surveys, as well accounting for reporting errors/biases in travel survey-based applications. Furthermore, it offers valuable insights underlying the psychology of travel recall by survey respondents.

Publisher

Research Square Platform LLC

Reference26 articles.

1. Bayart, C., Bonnel, P., Morency, C.: Survey Mode Integration and Data Fusion: Methods and Challenges. In: Bonnel, P., Lee-Gosselin, M., Zmud, J., Madre, J.-L. (eds.) Transport Survey Methods, pp. 587–611. Emerald Group Publishing Limited (2009)

2. Bonnel, P., Munizaga, M.A.: Transport survey methods - In the era of big data facing new and old challenges. In: Transportation Research Procedia. pp. 1–15. Elsevier B.V. (2018)

3. A comparison of reliability between telephone and web-based surveys;Braunsberger K;J. Bus. Res.,2007

4. Bricka, S., Bhat, C.: Using GPS Data to Inform Travel Survey Methods. In: Travel Demand Modeling Conference. Transportation Research Board, Austin, TX (2006)

5. Callegaro, M., Yang, Y.: The role of surveys in the era of “big data. In: The Palgrave Handbook of Survey Research, pp. 175–192. Springer International Publishing (2017)

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