Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data.
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| Title: | Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data. |
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| Authors: | Sfeir, Georges1 (AUTHOR) geosaf@dtu.dk, Rodrigues, Filipe1 (AUTHOR) rodr@dtu.dk, Abou-Zeid, Maya2 (AUTHOR) ma202@aub.edu.lb, Pereira, Francisco Camara1 (AUTHOR) camara@dtu.dk |
| Source: | Transportation. Jun2026, Vol. 53 Issue 3, p1459-1488. 30p. |
| Subjects: | Memory bias, Measurement errors, Electronic ticketing, Socioeconomic factors, Passenger traffic, Public transit |
| 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 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 min, with an Interquartile Range of 28.14 min. 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 telephone interviews. 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Transportation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193167767 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sfeir%2C+Georges%22">Sfeir, Georges</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> geosaf@dtu.dk</i><br /><searchLink fieldCode="AR" term="%22Rodrigues%2C+Filipe%22">Rodrigues, Filipe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rodr@dtu.dk</i><br /><searchLink fieldCode="AR" term="%22Abou-Zeid%2C+Maya%22">Abou-Zeid, Maya</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ma202@aub.edu.lb</i><br /><searchLink fieldCode="AR" term="%22Pereira%2C+Francisco+Camara%22">Pereira, Francisco Camara</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> camara@dtu.dk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Transportation%22">Transportation</searchLink>. Jun2026, Vol. 53 Issue 3, p1459-1488. 30p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Memory+bias%22">Memory bias</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+ticketing%22">Electronic ticketing</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Passenger+traffic%22">Passenger traffic</searchLink><br /><searchLink fieldCode="DE" term="%22Public+transit%22">Public transit</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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 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 min, with an Interquartile Range of 28.14 min. 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 telephone interviews. 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Transportation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11116-024-10535-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 1459 Subjects: – SubjectFull: Memory bias Type: general – SubjectFull: Measurement errors Type: general – SubjectFull: Electronic ticketing Type: general – SubjectFull: Socioeconomic factors Type: general – SubjectFull: Passenger traffic Type: general – SubjectFull: Public transit Type: general Titles: – TitleFull: Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sfeir, Georges – PersonEntity: Name: NameFull: Rodrigues, Filipe – PersonEntity: Name: NameFull: Abou-Zeid, Maya – PersonEntity: Name: NameFull: Pereira, Francisco Camara IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00494488 Numbering: – Type: volume Value: 53 – Type: issue Value: 3 Titles: – TitleFull: Transportation Type: main |
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