Open AccessAll‐stop, skip‐stop, or transfer service: an empirical study on preferences of bus passengers
Author(s) -
Fan Aihua,
Chen Xumei,
Wang Youan,
Kou Weibin
Publication year - 2018
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2018.5213
Subject(s) - transfer (computing) , service (business) , schedule , trips architecture , beijing , transport engineering , mixed logit , logit , preference , travel time , computer science , business , logistic regression , engineering , marketing , statistics , geography , mathematics , archaeology , china , machine learning , parallel computing , operating system
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.