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Representation of Work-Related Trip Patterns in Household and Commercial Travel Surveys

Reiffer, Anna ORCID iD icon 1; Barthelmes, Lukas ORCID iD icon 1; Kagerbauer, Martin 1; Vortisch, Peter 1
1 Institut für Verkehrswesen (IFV), Karlsruher Institut für Technologie (KIT)

Abstract:

This paper considers which work-related trip patterns are included in household travel surveys and which in commercial travel surveys and if there are certain patterns that are distinctly underrepresented in either one. The study is structured as a comparison between data from a household travel survey and data from a commercial travel survey. Both surveys were conducted in Germany and within close temporal proximity. We applied cluster analysis to identify differences in the data and identify work-related travel patterns. The results show that work-related travel patterns are quite complex. Although some patterns are covered in both surveys, mobile workers’ travel patterns in particular are not represented well in the household travel survey. Furthermore, our analysis shows that not all commercial trips are generated by motorized vehicles and a considerable share of work-related trips are undertaken using public transport or active modes of transport that are not covered by the commercial travel survey. The results indicate that researchers and transport planners creating travel demand models need to pay more attention to work-related travel behavior and acknowledge that depending on the area of study, traditional household travel surveys may not provide a complete sample of the population; however, simply adding data on commercial trips from commercial travel demand models to data from household travel surveys does not provide a complete picture of work-related travel either.


Verlagsausgabe §
DOI: 10.5445/IR/1000148902
Veröffentlicht am 25.07.2022
Originalveröffentlichung
DOI: 10.1177/03611981221091559
Scopus
Zitationen: 3
Web of Science
Zitationen: 1
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Verkehrswesen (IFV)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 0361-1981, 2169-4052
KITopen-ID: 1000148902
Erschienen in Transportation Research Record: Journal of the Transportation Research Board
Verlag SAGE Publications
Band 2676
Heft 11
Seiten 580–593
Vorab online veröffentlicht am 11.05.2022
Nachgewiesen in Dimensions
Web of Science
Scopus
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