Presentation Information
[E4-01]Possibility of capturing behavioral patterns of park users using Volunteered Street View Imagery (VSVI)
*Xinrui Zheng1, Mamoru Amemiya1 (1. University of Tsukuba)
Keywords:
Volunteered Geographic Information,Street View Imagery,park visitation,GPS tracks
Analyzing how people experience park environments can provide valuable information for policy and management decisions to encourage park use. Recently, crowdsourced data from social media has been used to maximize efficiency to enhance investigation methods. However, due to incomplete user information from social media posts, it is challenging to understand detailed visitor behavior features. To address this issue, this study focused on the validity of Volunteered Street View Imagery (VSVI) in measuring park visitor behavior as it is a dataset of geo-tagged street-level images containing motion information from volunteers. The study was conducted in metropolitan parks in the 23-ward of Tokyo. VSVI within the study parks were downloaded from Mapillary. It examined the validity of VSVI in measuring park visitor behavior by comparing it with reference data from visit count surveys and GPS tracks of real visitors. For each study park, several movement metrics, including a) visit frequency, b) spatio-temporal distribution, and c) travel path, were calculated using VSVI trajectories and the reference data. The reliability of the results was then assessed.