Modelling the route choice behaviour under stop-&-go traffic for different car driver segments
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
A stop-&-go (S&G) wave phenomenon refers to the traffic situation where vehicles experience cyclic patterns of deceleration followed by acceleration. Driving in these conditions is a nuisance as drivers need to be more focussed, which leads to an increase in the level of frustration and mental stress. This study aims at evaluating the effect of the number of S&Gs experienced on the route choice behaviour of drivers. An online stated choice experiment was conducted on a sample of regular car drivers residing in Sydney and its neighbouring suburbs. The collected data is analysed using a latent class choice modelling framework which provides characteristics and choice preferences of subgroups of individuals, thus making it attractive to policy makers. Results show that nearly three-quarters of the sample have a negative and significant disutility towards the number of S&Gs experienced. The outcomes from this would potentially be useful in formulating new policies aiming at reducing congestion and the resulting S&G traffic.
Details
Original language | English |
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Pages (from-to) | 62-72 |
Number of pages | 11 |
Journal | Transportation Research Part A: Policy and Practice |
Volume | 119 |
Publication status | Published - Jan 2019 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-2939-2090/work/141543685 |
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Keywords
ASJC Scopus subject areas
Keywords
- Congestion pricing, D-efficient design, Latent class choice model, Route choice, Stated choice experiment, Stop-&-go traffic