TY - GEN
T1 - Multinomial logit model-based parking choice in a mall at city
AU - Liang, Wei
AU - Hu, Jianming
AU - Zhang, Yi
AU - Wang, Ziwei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - When most individuals driving to the shopping mall choose the parking lot, they put attentions on not only the service levels of the parking lot but also their own personal preferences. Parking is essentially a choice behavior with preference information. The personal preferences consist of social attributes (e.g., gender, age, income, occupation), driving attributes (e.g., vehicle type, vehicle price, driving distance), and consuming attributes (e.g., consuming cost, frequency). On the basis of the survey about the choice behavior of drivers in the shopping mall, a multinomial logit model is utilized to analyze the preferences which has significant impacts on the choice behavior. The conclusion comes out that not only the social attributes but also his/her driving attributes and consuming ones have impact on the individual's parking choice. From the results, a personalized choice function is presented further for drivers to choose the fit parking lot.
AB - When most individuals driving to the shopping mall choose the parking lot, they put attentions on not only the service levels of the parking lot but also their own personal preferences. Parking is essentially a choice behavior with preference information. The personal preferences consist of social attributes (e.g., gender, age, income, occupation), driving attributes (e.g., vehicle type, vehicle price, driving distance), and consuming attributes (e.g., consuming cost, frequency). On the basis of the survey about the choice behavior of drivers in the shopping mall, a multinomial logit model is utilized to analyze the preferences which has significant impacts on the choice behavior. The conclusion comes out that not only the social attributes but also his/her driving attributes and consuming ones have impact on the individual's parking choice. From the results, a personalized choice function is presented further for drivers to choose the fit parking lot.
KW - Behavior Analysis
KW - Driving Shopping
KW - Multinomial Logit
KW - Parking Choice
KW - Personal Preference
UR - https://www.scopus.com/pages/publications/84983740575
U2 - 10.1109/CCDC.2016.7531002
DO - 10.1109/CCDC.2016.7531002
M3 - Conference contribution
AN - SCOPUS:84983740575
T3 - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
SP - 320
EP - 323
BT - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th Chinese Control and Decision Conference, CCDC 2016
Y2 - 28 May 2016 through 30 May 2016
ER -