Tourism Travel Mode Identification Based on Cell Phone Signaling Data

Abstract

With the development of tourism, traffic congestions of the road connecting tourist attractions are increasing. It is important of analyzing tourism travel mode to alleviate traffic congestion and guide tourism volume. This paper focuses on the tourism travel mode choice behavior, a travel mode identification algorithm based on cell phone signaling data is proposed. Firstly, the time-space threshold algorithm is designed to identify the origin point of travel, then travel mode identification model is established based on fuzzy identification theory. The identification results are compared with the results of Badaling Great Wall tourism travel mode questionnaire survey, which shows that they are basically consistent.