With the increase of cars in China, urban traffic congestion is becoming a serious problem, especially during the morning and evening rush hours. In order to ease congestion, commuting by bus has been proposed as a feasible alternative. In order to better facilitate travel by bus, we analyzed the commuter travel behavior of Tiantongyuan community in Beijing. Based on revealed preference (RP) and stated preference (SP), travel choice behavior can be obtained with the actual commuter travel conditions and the commuter travel behavior in different combinations of the two factors--travel time and travel cost. A binary logit model (BL model) has been developed based on SP data, and with this future traffic patterns or policy measures can be predicted.
Travel Behavior of Commuters Based on Logit Model
The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China
CICTP 2012 ; 1345-1349
2012-07-23
Conference paper
Electronic Resource
English
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