Trip chain complexity: a comparison among latent classes of daily mobility patterns

Florian Schneider (), Danique Ton, Lara-Britt Zomer, Winnie Daamen, Dorine Duives, Sascha Hoogendoorn-Lanser and Serge Hoogendoorn
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Florian Schneider: Delft University of Technology
Danique Ton: Delft University of Technology
Lara-Britt Zomer: Delft University of Technology
Winnie Daamen: Delft University of Technology
Dorine Duives: Delft University of Technology
Sascha Hoogendoorn-Lanser: KIM, Netherlands Institute for Transport Policy Analysis
Serge Hoogendoorn: Delft University of Technology

Transportation, 2021, vol. 48, issue 2, No 18, 953-975

Abstract: Abstract This paper studies the relationship between trip chain complexity and daily travel behaviour of travellers. While trip chain complexity is conventionally investigated between travel modes, our scope is the more aggregated level of a person’s activity-travel pattern. Using data from the Netherlands Mobility Panel, a latent class cluster analysis was performed to group people with similar mode choice behaviour in distinct mobility pattern classes. All trip chains were assigned to both a travel mode and the mobility pattern class of the traveller. Subsequently, differences in trip chain complexity distributions were analysed between travel modes and between mobility pattern classes. Results indicate considerable differences between travel modes, particularly between multimodal and unimodal trip chains, but also between the unimodal travel modes car, bicycle, walking and public transport trip chains. No substantial differences in trip chain complexity were found between mobility pattern classes. Independently of the included travel modes, the distributions of trip chain complexity degrees were similar across mobility pattern classes. This means that personal circumstances such as the number of working hours or household members are not systematically translated into specific mobility patterns.

Keywords: Trip chaining behaviour; Trip chain complexity; Mode choice; Mobility pattern; Latent class cluster analysis (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (10)

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DOI: 10.1007/s11116-020-10084-1

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