Distinguishing different types of city tourists through clustering and recursive logit models applied to Wi-Fi data

نویسندگان

چکیده

We discuss the possibilities to distinguish different types of tourists based on Wi-Fi sensor data. The data are obtained from 20 sensors employed in Higashiyama, Kyoto, which is an area highly frequented by tourists. describe tourist-tours as a sequence at they observed. Based these records clustering approach chosen where we select variables, among others, degree detours and length time find that can groups visiting number sightseeing spots short others who walk through more leisurely likely enjoying souvenir shops restaurants. For main tourist clusters than Recursive Logit applied model their route-choice path attractions en-route. estimated parameters reflect group characteristics.

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ژورنال

عنوان ژورنال: Asian transport studies

سال: 2022

ISSN: ['2185-5560']

DOI: https://doi.org/10.1016/j.eastsj.2021.100044