Abstract
Although the necessity of holiday transportation planning is being broadly recognized, it is true that the mechanism of holiday travel behavior has not been fully clarified. Therefore, focusing on weekend shopping travel, this paper analyzed the characteristics of individual shopping travel behavior based on one-week shopping travel data in Utsunomiya, and then, proposed a simultaneous-equations (SE) model for weekday shopping frequency of ordered probit (OP) type and for weekend shopping occurrence of binary probit (BP) type. The SE model was specified by assuming that the error terms of latent preference function in OR model and utility function in BP model follow binary normal distribution. Throughout the empirical analysis, the effectiveness of SE model was confirmed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
