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Journal of Big Data
Fig. 15 | Journal of Big Data

Fig. 15

From: Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data

Fig. 15

Detected changes in activity trends: The blue-colored graphs are the degrees of change. The red points are the inferred number of visitors’ arrivals for commuting to work/school (a, b) and leisure (c, d). In areas of universities and high schools, changes are detected from the trends of the activity type 1 (commuting to work/school) according to the beginnings and endings of semesters. In areas of shopping centers, changes are detected from the trends of the activity type 9 (leisure) according to the opening and extension of the shopping centers

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