TY - GEN
T1 - Development of destination choice model for taxi passengers in Shanghai, China
AU - Zhu, Jiayu
AU - Ye, Xin
N1 - Publisher Copyright:
© ASCE.
PY - 2018
Y1 - 2018
N2 - In this paper, a destination choice model is developed for taxi passengers based on taxi GPS data from Shanghai, China. Taxi GPS data belong to passively collected big data that can avoid possible biases in traditional travel surveys limited by the sampling process, and potential discrepancies between respondents' actual behaviors and their responses. As a discrete choice model, a destination choice model can involve policy-sensitive variables in a flexible way, so as to predict and evaluate policy impacts. The developed model incorporates a variety of explanatory variables, including travel impedance variables (travel time and monetary cost), location indicator variables (whether an airport or passenger railway station is in the traffic analysis zone, i.e. TAZ) and attraction variables in trip destination ends (population and employment). Finally, the factors influencing taxi passengers' destination choice behaviors are analyzed based on the model estimation results.
AB - In this paper, a destination choice model is developed for taxi passengers based on taxi GPS data from Shanghai, China. Taxi GPS data belong to passively collected big data that can avoid possible biases in traditional travel surveys limited by the sampling process, and potential discrepancies between respondents' actual behaviors and their responses. As a discrete choice model, a destination choice model can involve policy-sensitive variables in a flexible way, so as to predict and evaluate policy impacts. The developed model incorporates a variety of explanatory variables, including travel impedance variables (travel time and monetary cost), location indicator variables (whether an airport or passenger railway station is in the traffic analysis zone, i.e. TAZ) and attraction variables in trip destination ends (population and employment). Finally, the factors influencing taxi passengers' destination choice behaviors are analyzed based on the model estimation results.
UR - http://www.scopus.com/inward/record.url?scp=85044179754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044179754&partnerID=8YFLogxK
U2 - 10.1061/9780784480915.414
DO - 10.1061/9780784480915.414
M3 - Conference contribution
AN - SCOPUS:85044179754
T3 - CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals
SP - 3989
EP - 3997
BT - CICTP 2017
A2 - Wang, Haizhong
A2 - Sun, Jian
A2 - Lu, Jian
A2 - Zhang, Lei
A2 - Zhang, Yu
A2 - Fang, ShouEn
PB - American Society of Civil Engineers (ASCE)
T2 - 17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017
Y2 - 7 July 2017 through 9 July 2017
ER -