Cross-analysis of the variability of travel behaviors using one-day trip diaries and longitudinal data

Deschaintres, Elodie; Morency, Catherine; Trépanier, Martin

doi:10.1016/j.tra.2022.07.013

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…Furthermore, the findings indicated that the overestimation of public transit trips during peak periods can be attributed to the use of weighting factors to address the underrepresentation of the 20-29 age demographic group of the population, which is difficult to reach in a telephone-based household travel survey. Deschaintres et al (2022) applied a weighting method to expand the representativeness of the OD household travel survey of Montréal from a typical daily trip dairies to a four-month period. By comparing the results to smart card and count data, the authors showed similar linear trends and weekly variations in the daily use of cars and subways.…”

Section: Smart Card Data and Travel Surveysmentioning

confidence: 99%

“…Advancements in technology have brought a revolution in the domain of data collection. Particularly, passivelygenerated big data such as GPS, mobile phone traces, and smart card data, provide opportunities to complement and enrich traditional surveys (Bonnel and Munizaga 2018;Callegaro and Yang 2017;Deschaintres et al 2022;Miller et al 2018) as every data collection technique (traditional or emerging) has advantages and drawbacks.…”

Section: Introductionmentioning

confidence: 99%

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

Sfeir

Rodrigues

Zeid

et al. 2023

Preprint

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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.

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Section: Smart Card Data and Travel Surveysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Sfeir

Rodrigues

Zeid

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data

Sfeir,

Rodrigues,

Abou-Zeid

et al. 2024

Transportation

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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.

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Retaining bus riders: A lifecycle longitudinal analysis of behavioral status transitions from entry to exit

Yu,

Yang,

Dong

et al. 2024

International Journal of Transportation Science and Technology

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Cross-analysis of the variability of travel behaviors using one-day trip diaries and longitudinal data

Cited by 8 publications

References 35 publications

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

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

Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data

Retaining bus riders: A lifecycle longitudinal analysis of behavioral status transitions from entry to exit

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