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Stability and Variability in Destination Choice for Leisure Activities

Wörle, Tim ORCID iD icon 1; Puhe, Maike ORCID iD icon 2; Vortisch, Peter 1
1 Institut für Verkehrswesen (IFV), Karlsruher Institut für Technologie (KIT)
2 Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Empirical research has shown that people’s daily life consists of highly stable, repetitious behaviors as well as of significant sequences of variability. This does not only concern activity patterns, but also refers to travel mode and destination choice. Within travel demand modelling, destination choice is dependent on capturing the mechanisms that lead to behavioral stability or variability in order to point out the changeability of destination choices. This research addresses the modeling of destination choices of different leisure purposes by considering spatio-temporal relationships towards certain destinations by using a longitudinal data set. Three dimensions of heterogeneity are accounted for: the inter-travel-purpose, the inter-traveller and the intra-traveller-related dimension. Considering these, the developed destination choice model estimated with the six-week Mobidrive study contains a differentiation between five sub-purposes of leisure, assumes latent classes among the respondents revealing different preferences. Furthermore, the study accounts for both spatial and temporal destination choice patterns of individuals. ... mehr


Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Institut für Verkehrswesen (IFV)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator KITopen-ID: 1000156466
HGF-Programm 46.24.01 (POF IV, LK 01) Applied TA: Digitalizat. & Automat. Socio-Technical Change
Erschienen in 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023
Veranstaltung 102nd Annual Meeting Transportation Research Board (TRB 2023), Washington, DC, USA, 08.01.2023 – 12.01.2023
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