Table 1.
Structure of mobile phone data.
Fig 1.
Comparison of total incoming population (10 AM).
Fig 2.
Comparison of external visitors by age on weekdays and weekends at 10AM.
Fig 3.
Comparison of external visitor rates at 10AM by residence on Wednesday (top) and Saturday (bottom) in July.
Fig 4.
Comparison of the ratio of Seoul residents by county (Wednesday (top) and Saturday (bottom) at 10AM in July).
Fig 5.
Comparison of the ratio of Gyeonggi residents by county (Wednesday (top) and Saturday (bottom) at 10AM in July).
Fig 6.
Preferred destinations (18 hospots) of external visitors by season and time of day.
Table 2.
Results of global spatial autocorrelation analysis.
Fig 7.
LISA Cluster Map (high-high: red, high-low: orange, low-high: light blue, low-low: blue, and not significant: gray) using ESDA, an open-source Python library.