This study inferred the route-search system user travel profiles and purpose based on the relationship between the travel details in the route-search history data and the regional characteristics around bus stops along the routes of interest. Specifically, the search-history data of “Bus-Net,” a route-search system in Japan were used to define the travel demand. The route’s regional characteristics were expressed using the population and facility-location data. Subsequently, it was possible to construct a regression model with an adaptive Lasso penalty and demonstrate that residents and tourists use route-search systems for “non-routine” travel purposes, such as shopping and tourism.
Trip Purpose Inference Based on the Relationship between Route Search Records and Regional Characteristics
Int. J. ITS Res.
International Journal of Intelligent Transportation Systems Research ; 20 , 1 ; 299-308
2022-04-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Route-search data , User travel profile , Trip purpose , Public transportation , Adaptive lasso Engineering , Electrical Engineering , Automotive Engineering , Robotics and Automation , Computer Imaging, Vision, Pattern Recognition and Graphics , Civil Engineering , User Interfaces and Human Computer Interaction
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