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http://dx.doi.org/10.17820/eri.2019.6.4.250

Estimating Visitors on Water-friendly Space in the River Using Mobile Big Data and UAV  

Kim, Seo Jun (Department of Civil and Environmental Engineering, Myongji university)
Kim, Chang Sung (River Survey Division, Korea Institute of Hydrological Survey)
Kim, Ji Sung (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Ecology and Resilient Infrastructure / v.6, no.4, 2019 , pp. 250-257 More about this Journal
Abstract
Recently, 357 water-friendly space were established near the main streams of the country through the Four Major Rivers Project, which was used as a resting and leisure space for the citizens, and the river environment and ecological health were improved. We are working hard to reduce the number of points and plan and manage the water-friendly space. In particular, attempts are being made to utilize mobile big data to make more scientific and systematic research on the number of users. However, when using mobile big data compared to the existing method of conducting field surveys, it is possible to easily identify spatial user movement patterns, but it is different from the actual amount of use, so various verifications are required to solve this problem. Therefore, this study evaluated the accuracy of estimating the number of users using mobile big data by comparing the number of visitors using mobile big data and the number of visitors using drone for Samrak ecological park located in the mouth of Nakdong River. As a result, in the river hydrophilic district, it was difficult to accurately estimating the usage pattern of each facility due to the low precision of pCELL, and it was confirmed that the usage patterns in the park could be distorted due to the signals stopped at roads and parking lots. Therefore, it is necessary to improve the number of pCELLs in the water-friendly space and to estimate the number of visitors excluding facilities such as roads and parking lots in future mobile big data processing.
Keywords
Mobile big data; UAV; Visitors; Water-friendly space;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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