Unravelling commuters' modal splitting behaviour in mass transportation service operation

Angela Hsiang Ling Chen (), Kuangnen Cheng () and Wan-Ju Chang ()
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Angela Hsiang Ling Chen: Chung Yuan Christian University
Kuangnen Cheng: Marist College
Wan-Ju Chang: Chung Yuan Christian University

Public Transport, 2023, vol. 15, issue 3, No 10, 813-838

Abstract: Abstract One important factor in determining whether commuters will use public transport is spatial accessibility rooted in the first-mile problem. This study explores commuter behaviour in terms of how they utilize bike-sharing to manage the first-mile accessibility of a public transportation station. Historical data from Taipei Metro smart cards were analyzed using RFM (recency, frequency, and monetary) segmentation models to identify commuter segments. This study reveals two significant findings: comprehensive spatiotemporal characteristics and homogeneous behavioural patterns are derived from clustering algorithms. The city's penetration pricing strategy for bike-sharing motivates modal splitting transfer between bike-sharing and transit (MSTBT). In addition, we observed a supplementary and utilitarian relationship between bike-sharing and the metro. A convenient transportation network improves first-mile accessibility, thus the frequency of MSTBT usage is a key metric for measuring engagement. The findings provide a useful reference for urban planners promoting the design and development of sustainable transportation systems.

Keywords: Bike-sharing; Data mining; K-means; Mode choice; RFM model (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12469-023-00330-x

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