All‐stop, skip‐stop, or transfer service: an empirical study on preferences of bus passengers. Issue 10 (20th September 2018)

• Record Type: Journal Article
• Authors: Fan, Aihua; Chen, Xumei; Wang, Youan; Kou, Weibin
• Is Part Of: IET intelligent transport systems. Volume 12:Issue 10(2018)
• Page Start: 1255
• Page End: 1263
• Publication Date: 2018-09-20
• Subjects: vehicle routing -- behavioural sciences -- probability; all‐stop service -- skip‐stop service -- transfer service -- bus passenger preference -- passenger travel choice behaviours -- AB Station -- A Station -- travel choice probabilities -- Beijing -- travel circumstances -- passenger choice probability models -- logit model -- travel distance -- in‐vehicle time; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2018.5213
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : This study analyses the effects of individual and trip characteristics on passenger travel choice behaviours when presented with all‐stop, skip‐stop, and transfer services. Bus stops are classified into two types: an 'AB Station' provides both all‐stop and skip‐stop services and an 'A Station' provides only all‐stop service. Passenger travel choice behaviours 'from AB to AB' and 'from AB to A' are studied based on travel choice probabilities. A stated preference survey was conducted in Beijing to collect individual and trip characteristics for various travel circumstances and used to develop passenger choice probability models based on logit model. The results show that the probability of choosing skip‐stop service increases with the increase in travel distance and the decrease in in‐vehicle time; transfer service is not popular, even for a long trips; skip‐stop and transfer services are more attractive to passengers taking a mandatory trip; there are differences in choice behaviours between male and female passengers; compared to high‐income passengers, low‐to‐middle income passengers exhibit a lower probability of choosing transfer service because of the additional travel cost. This study contributes to predicting future demands for different bus services, the implementation and optimisation of skip‐stop strategies, and bus schedule improvement.