主题(计算)
地理
主题公园
自然地理学
考古
旅游
计算机科学
操作系统
作者
Xiaoting Huang,Minxuan Li,Jingru Zhang,Linlin Zhang,Haiping Zhang,Shen Yan
标识
DOI:10.1016/j.jdmm.2020.100411
摘要
Abstract: Time, space, and activities are considered three important domains of the tourist experience. The core time geography concept of the ‘space–time path’, which highlights activity-based constraints, serves as a powerful visualization and quantification tool revealing tourists' spatial-temporal behavior. Moreover, the proliferation of tourist-tracking technologies has enabled more precise tourist behavioral data than ever before. This paper aims to integrate multiple data sources to analyze tourists' spatial–temporal behavior patterns on a micro scale. A five-day survey was conducted at Ocean Park Hong Kong from July 6 to 10, 2014. Information about tourists' temporal–spatial behavior was gathered using handheld GPS tracking devices, and questionnaires were distributed to assess tourists' socio-psychological characteristics. Given marked differences in demographic and emotional characteristics, three spatial–temporal behavior clusters were identified via density center clustering, consisting of four factors: path length, tour time, coverage area, and oval circumference. This study presents a novel way to develop a better understanding of tourists' spatial-temporal behavior patterns based on GIS visualization and clustering methods from a microscopic perspective, thus contributing to theme park attraction management and tourist experience enhancements.
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