Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice
This study investigated how personal and operational factors (travel distance and streetscape) influence traveler mode choice decisions for the last-mile home-bound trip stage from rail transit stations. Personal factors include the socio-demography of travelers, and attributes of the streetscape in...
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sg-ntu-dr.10356-845372020-03-07T11:43:34Z Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice Meng, Meng Koh, Puay Ping Wong, Yiik Diew School of Civil and Environmental Engineering Last-mile home-bound trip Operating streetscape This study investigated how personal and operational factors (travel distance and streetscape) influence traveler mode choice decisions for the last-mile home-bound trip stage from rail transit stations. Personal factors include the socio-demography of travelers, and attributes of the streetscape include the built environment (degree of areal development), prevalence of cycling, availability of short-range transport modes, and walking/cycling infrastructure. Interviewers randomly intercepted pedestrians to administer a mode choice survey at five rail transit station exits and engaged all available cyclists at bicycle parking areas in the vicinity of stations in Singapore. A multimodal logit regression model revealed a significant relationship between the last-mile home-bound trip maker’s mode choice with factors of age, gender, travel distance between transit station and destination, number of cyclists along adjacent links surrounding transit stations, number of feeder bus services to destination, availability of private vehicle, and household income. The calibrated model was applied to compute the probability of walking, cycling, and taking a feeder bus for the last-mile home-bound trip maker from a transit station. This study provides useful information for improving the efficiency and connectivity of first/last-mile mobility in a multimodal transport network. Published version 2016-12-15T03:56:49Z 2019-12-06T15:46:47Z 2016-12-15T03:56:49Z 2019-12-06T15:46:47Z 2016 Journal Article Meng, M., Koh, P. P., & Wong, Y. D. (2016). Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice. Journal of Public Transportation, 19(2), 38-54. 1077-291X https://hdl.handle.net/10356/84537 http://hdl.handle.net/10220/41861 10.5038/2375-0901.19.2.3 en Journal of Public Transportation © 2016 The Authors (Journal of Public Transportation). This paper was published in Journal of Public Transportation and is made available as an electronic reprint (preprint) with permission of The Authors. The published version is available at: [http://dx.doi.org/10.5038/2375-0901.19.2.3]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 17 p. application/pdf |
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Last-mile home-bound trip Operating streetscape Meng, Meng Koh, Puay Ping Wong, Yiik Diew Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice |
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This study investigated how personal and operational factors (travel distance and streetscape) influence traveler mode choice decisions for the last-mile home-bound trip stage from rail transit stations. Personal factors include the socio-demography of travelers, and attributes of the streetscape include the built environment (degree of areal development), prevalence of cycling, availability of short-range transport modes, and walking/cycling infrastructure. Interviewers randomly intercepted pedestrians to administer a mode choice survey at five rail transit station exits and engaged all available cyclists at bicycle parking areas in the vicinity of stations in Singapore. A multimodal logit regression model revealed a significant relationship between the last-mile home-bound trip maker’s mode choice with factors of age, gender, travel distance between transit station and destination, number of cyclists along adjacent links surrounding transit stations, number of feeder bus services to destination, availability of private vehicle, and household income. The calibrated model was applied to compute the probability of walking, cycling, and taking a feeder bus for the last-mile home-bound trip maker from a transit station. This study provides useful information for improving the efficiency and connectivity of first/last-mile mobility in a multimodal transport network. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Meng, Meng Koh, Puay Ping Wong, Yiik Diew |
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Article |
author |
Meng, Meng Koh, Puay Ping Wong, Yiik Diew |
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Meng, Meng |
title |
Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice |
title_short |
Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice |
title_full |
Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice |
title_fullStr |
Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice |
title_full_unstemmed |
Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice |
title_sort |
influence of socio-demography and operating streetscape on last-mile mode choice |
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2016 |
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https://hdl.handle.net/10356/84537 http://hdl.handle.net/10220/41861 |
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1681043341153665024 |