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Analysing preferences for integrated micromobility and public transport systems: A hierarchical latent class approach considering taste heterogeneity and attribute non-attendance

Milad Ghasri, Ali Ardeshiri, Xiang Zhang and S. Travis Waller

Transportation Research Part A: Policy and Practice, 2024, vol. 181, issue C

Abstract: Shared Micromobility systems in urban regions hold the potential to reduce private vehicle usage and boost public transport patronage. To effectively achieve these goals, a comprehensive approach to integrating micromobility and public transport is essential. This study introduces a novel modelling framework to elicit travellers’ preferences towards the features of integrated shared micromoiblity and public transport systems. The data is obtained from a stated preference survey involving 250 residents in Canberra, Australia. Respondents’ mode choice behaviour and their propensity to switch from their current mode of transport to an integrated system are collected and modelled using a hierarchical latent class approach to account for taste heterogeneity and attribute non-attendance. The results show higher propensity of mode shift is associated with young age, high educational attainment, high scooter ownership and low car ownership. On average, respondents in this study express a willingness to pay of $0.55 for an integrated payment option. These results provide valuable insight into the integrated urban transport systems.

Keywords: Micromobility; E-scooters; Integrated public transport and micromobility; Stated preference; Mode shift (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tra.2024.103996

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