Predicting When and Where Tourists Have Viewed Exhibitions from GPS Logs by Using Spatio-temporal Data as Explanatory Variable : A Lesson from Surveys at Tama Zoological Park

Abstract

Most of previous surveys of tourist activities using GPS devices have focused on where tourists visit and how long they stay, but not on what they actually do at each location. Thus, we have attempted to investigate the relations between the tourists actual activities and their spatio-temporal data. In this paper, we conducted some experiments at a zoological park to build statistical methods for estimating whether a tourist is viewing an exhibition or not from his/ her GPS logs. The result shows that their walking speed seems critical for the estimation, and, by considering additional parameters, we can estimate precisely whether 20s tourist is viewing or not. Keywords:global positioning system , activity survey tourists behaviour logistic regression model 1 GIS

Identifying Tourist Spatial and Temporal Patterns Using GPS and Sequence Alignment Method

“…Thus, in the context of tourism activity sequences studied in this work, SAM is well suited to identify similarities of the space-time trajectory pattern where the sequence patterns of links are important rather than similar patterns of nodes (Shoval and Isaacson 2007; Wilson 1998), even if they are spatially separated. Wilson (1998) draws the analogy of finding hidden patterns in data by means of an alignment process to revealing typologies of tourist behavior by means of SAM, yielding comprehensive sketches of tourists’ activities (Kawase and Ito 2016), similar transportation modes (Crawford, Watling, and Connors 2018), movement habits (Millward, Hafezi, and Daisy 2019), and social change (Delmelle 2016).…”

“Seeing” or “Being Seen”: Research on the Sight Line Design in the Lion Grove Based on Visitor Temporal–Spatial Distribution and Space Syntax

“…Results demonstrated that the GPS track recorder has higher accuracy, which can save manpower and help avoid deviations caused by the decline in memory of visitors and subjective impressions, compared with real-time observations and questionnaires [26]. Studying visitor temporal-spatial behavior is conducive to tourism management; more specifically, it prevents overcrowding, optimizing the signages and understanding of the satisfaction of visitors [27,28]. Previous studies analyzed the correlation between GPS trajectory data and demographic information to distinguish the touring preferences of different participant types [29][30][31].…”