Understanding the relation between travel duration and station choice behavior of cyclists in the metropolitan region of Amsterdam

J. van Kampen; E. Pauwels; R. der Mei; E.R. Dugundji

doi:10.1007/s12652-020-02856-5

Understanding the relation between travel duration and station choice behavior of cyclists in the metropolitan region of Amsterdam

J. van Kampen, E. Pauwels, R. der Mei, E.R. Dugundji

Mathematics

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

© 2021, The Author(s).With 35,000 km of bicycle pathways, cycling is common among persons of all ages less than 65 years in the Netherlands. Bicycle is often seen as a standalone travel mode but when integrated as part of a multimodal trip with train, it can be an important solution for long distance journeys, offering increased flexibility and faster access time compared to other travel modes. In this paper we investigate which factors influence departure station choice on combined bicycle–train and bicycle-metro trips in the metropolitan region of Amsterdam. Data from a mobile app was used to track an individual’s travel behavior over the years 2018 and 2019. A discrete choice model was estimated to see whether people prefer to park their bicycle at the station with the shortest travel duration or one of the stations with a longer travel duration. The final results show that level of education and age negatively influence the choice for cycling to the second closest station. Furthermore, the results show that people with an origin inside Amsterdam prefer to travel to a train station regardless of their destination.

Original language	English
Pages (from-to)	137-145
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume	12
Issue number	1
DOIs	https://doi.org/10.1007/s12652-020-02856-5
Publication status	Published - 1 Jan 2021

Funding

This research has been conducted in the framework of the Impact Study North/Southline, funded in part by the Municipality of Amsterdam and the regional transportation authority of Amsterdam. We would gratefully like to acknowledge the Vrije Universiteit Amsterdam (VU) legal affairs office, IT department, and university library research data management team, as well as the IT and Facilities department of CWI for support in the design and implementation of the computing infrastructure. We would like to thank CWI/VU researcher Thomas Koch for generating transit schedule-specific alternative choice sets using the Conveyal R5 algorithm with OVapi GTFS. Hereby we also thank CWI/VU intern Manoj Ashvin Jayaraj for research assistance in previous work leading up to this paper and CWI/VU guest researcher Dr. Luk Knapen for useful discussions related to the research topic and contribution to the study design and data architecture. The authors declare that they do not have any conflicts of interest.

Funders	Funder number
CWI
CWI/VU

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Understanding the relation between travel duration and station choice behavior of cyclists in the metropolitan region of Amsterdam",

abstract = "{\textcopyright} 2021, The Author(s).With 35,000 km of bicycle pathways, cycling is common among persons of all ages less than 65 years in the Netherlands. Bicycle is often seen as a standalone travel mode but when integrated as part of a multimodal trip with train, it can be an important solution for long distance journeys, offering increased flexibility and faster access time compared to other travel modes. In this paper we investigate which factors influence departure station choice on combined bicycle–train and bicycle-metro trips in the metropolitan region of Amsterdam. Data from a mobile app was used to track an individual{\textquoteright}s travel behavior over the years 2018 and 2019. A discrete choice model was estimated to see whether people prefer to park their bicycle at the station with the shortest travel duration or one of the stations with a longer travel duration. The final results show that level of education and age negatively influence the choice for cycling to the second closest station. Furthermore, the results show that people with an origin inside Amsterdam prefer to travel to a train station regardless of their destination.",

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Understanding the relation between travel duration and station choice behavior of cyclists in the metropolitan region of Amsterdam

Abstract

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UN SDGs

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