AHFE Open AccessApplying Mobile Signaling Data to Tourist Mobility Analysis in Regional Destinations: Evidence from Taiwan
Abstract
This study demonstrates that mobile signaling data can effectively complement traditional tourism data by capturing real-time, high-resolution patterns of visitor movement. The results show clear differences in mobility structures across weekdays, weekends, and peak tourism periods, with stronger visitor clustering around major attractions and transport hubs during weekends and holidays. While signaling data cannot reveal travel motivations or expenditures, it provides a comprehensive view of spatial distribution and congestion dynamics. As a supplementary data source, mobile signaling data offers strong potential for supporting crowd management, transportation planning, and sustainable tourism strategies in Taiwan.
Keywords: Mobile Phone Signaling Data, QGIS, Transportation Planning, Tourism
DOI: 10.54941/ahfe1007535
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