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.
Highlights
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
Integrated multimodal traveller information; mode choice; traffic simulation; switch propensity; Travel mode choice behaviour, as referring to the manner travellers select their travel mode(s), is inherently influenced by travellers’ knowledge about travel conditions of available choices; this knowledge about travel conditions is collectively termed as traveller information
The mode choice model simulates the mode choice behaviour based on the provided information, rather than the changes occurring in the network
Summary
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 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. KEY WORDS integrated multimodal traveller information; mode choice; traffic simulation; switch propensity; Travel mode choice behaviour, as referring to the manner travellers select their travel mode(s), is inherently influenced by travellers’ (perceived) knowledge about travel conditions of available choices; this knowledge about travel conditions is collectively termed as traveller information. Due to the limited real-world deployment of advanced multimodal traveller information system (AMTIS) infrastructure, and absence of substantial conceptual and theoretical frameworks to guide data collection, simulation-based approaches become an important tool to perform these investigations [1,2,3,4]
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