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Establishing Mode Choice Model for Last Mile Home-Bound Trip Makers from Transit Stations

Meng Meng, Puay Ping Koh, Yiik Diew Wong

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Abstract

This study aims to investigate how travellers make mode choice decisions on last mile home-bound trips from transit stations. Interviewers were deployed to randomly intercept passengers at five transit stations’ exits as well as engage all available cyclists at bicycle parking areas, in order to administer a mode choice survey. A multimodal logit regression model was developed for last mile home-bound trip maker’s mode choice. The significant factors were age, gender, actual distance between the transit station and the destination, number of cyclists along intermediate links surrounding transit stations, number of bus services to destination, availability of vehicle and household income. An application of the calibrated model is given to illustrate the probability of walking, cycling and taking bus of a last mile home-bound trip maker from a transit station. This study provides useful information to improve the efficiency and connectivity in the multimodal network.

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What this paper is about

This study aims to investigate how travellers make mode choice decisions on last mile home-bound trips from transit stations. Interviewers were deployed to randomly intercept passengers at five transit stations’ exits as well as engage all available cyclists at bicycle parking areas, in order to administer a mode choice survey. A multimodal logit regression model was developed for last mile home-bound trip maker’s mode choice. The significant factors were age, gender, actual distance between the transit station and the destination, number of cyclists along intermediate links surrounding transit stations, number of bus services to destination, availability of vehicle and household income. An application of the calibrated model is given to illustrate the probability of walking, cycling and taking bus of a last mile home-bound trip maker from a transit station. This study provides useful information to improve the efficiency and connectivity in the multimodal network.

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Available abstract

This study aims to investigate how travellers make mode choice decisions on last mile home-bound trips from transit stations. Interviewers were deployed to randomly intercept passengers at five transit stations’ exits as well as engage all available cyclists at bicycle parking areas, in order to administer a mode choice survey. A multimodal logit regression model was developed for last mile home-bound trip maker’s mode choice. The significant factors were age, gender, actual distance between the transit station and the destination, number of cyclists along intermediate links surrounding transit stations, number of bus services to destination, availability of vehicle and household income. An application of the calibrated model is given to illustrate the probability of walking, cycling and taking bus of a last mile home-bound trip maker from a transit station. This study provides useful information to improve the efficiency and connectivity in the multimodal network.

Key concepts: Mile, Transport engineering, Transit (satellite), Last mile (transportation), TRIPS architecture, Mode choice, Public transport, Mode (computer interface)

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