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Dynamic interactions between commuter's mode choice behaviour and integrated traveller information

Dynamic interactions between commuter's mode choice behaviour and integrated traveller information

Meng, Meng ORCID: 0000-0001-7240-6454, Memon, Abdul Ahad, Wong, Yiik Diew and Lam, Soi Hoi (2015) Dynamic interactions between commuter's mode choice behaviour and integrated traveller information. PROMET - Traffic & Transportation, 27 (6). pp. 485-495. ISSN 0353-5320 (Print), 1848-4069 (Online) (doi:https://doi.org/10.7307/ptt.v27i6.1658)

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Abstract

A commuter’s mode choice decision in response to provided traveller information is directly dependent on the temporal and spatial interactions between the available travel modes, the network performance and control schemes, and the supplied traveller information. A self-developed simulation model – Intelligent Network Simulation Model (INSIM) – was employed to simulate travel scenarios in a multimodal transportation network. A set of experiments was designed to analyse and evaluate the influence of traffic information on commuter’s mode choice, using a medium-sized area in Singapore. Simulation results showed that the private-to-public mode switch propensity bears a strong and direct relation with amount of disseminated integrated multimodal traveller information (IMTI) as well as timeliness of information update. Other influential factors include degrees of accessibility and compliance to IMTI, and congestion-related events such as accidents.

Item Type: Article
Additional Information: This work is licensed under a Creative Commons Attribution 4.0 International License.
Uncontrolled Keywords: integrated multimodal traveller information; mode choice; traffic simulation; switch propensity
Subjects: H Social Sciences > HE Transportation and Communications
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Connected Cities Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 12 Feb 2019 10:34
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/22712

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