期刊
TRAVEL BEHAVIOUR AND SOCIETY
卷 25, 期 -, 页码 209-222出版社
ELSEVIER
DOI: 10.1016/j.tbs.2021.07.009
关键词
Public transportation; Waiting time; Decision under uncertainty; Certainty equivalent; Stated preference experiment
资金
- [777640]
Studying travellers' route choice behavior under waiting time uncertainty and measuring the premium they are willing to pay for certainty can help better understand traveler preferences and behavior. Research findings show that travellers are willing to trade off in-vehicle time for waiting time certainty, with younger travellers seeking more certainty.
Although waiting times are inherently uncertain in public transport networks, previous research has primarily studied route choice behaviour under risk. Since understanding such behaviour is important to correctly model network flows and gain better understanding of traveller satisfaction, we propose a method to assess travellers' route choice behaviour under natural ambiguity. Specifically, we devise a realistic route choice situation whereby travellers' attitudes and perceptions towards waiting time uncertainty as well as the effects of situational contexts thereon can be quantified in terms of a certainty equivalent. The choice situation is contextualised in a stated preferences experiment to analyse the premium travellers in the Dutch railways are willing to pay for certainty in waiting time. Results indicate a significantly improved model fit and predictive value when accounting for waiting time uncertainty with travellers, on average, willing to trade-off more than 7 minutes of invehicle time to have certainty in their waiting time. Minor non-linear effects of elapsed waiting time and anticipated delays on the value of certainty are also found and heterogeneity analysis indicates that younger travellers tend to seek more certainty. The proposed method provides snapshots of travellers' behaviour under uncertainties in a real-world public transport system and can as such be used to improve transportation models, provide more tailored travel advice, and be used to test the efficacy of different policies.
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