Mekansal davranışın gece ve gündüz farklarına odaklanarak sosyal medya, CBS ve mekansal istatistik yöntemleri ile incelenmesi

Nightlife activities of the city indicate a crucial source for urban life. For many years, geographers and urban planners have concerned with studies about human behavior in the city at different hours. In recent years location-based check-in services have allowed seeing users' activity and their locational information. Previous studies examined whether to relate or not spatial behavior and human activity using location-based social media applications. This study fills this gap by using spatial statistical techniques to understand differences in human behavior on different days and at different hours. Foursquare user's check-in data as the main data source was used to understand differences between day and night in the study area. In this study, three different analyses are conducted. The first is Kernel density used to generalize at different hours of weekday and weekend. The second is quadrat analysis for weekdays and weekends and days and nights to understand whether point distributions are significantly different or not. The last analysis is closest facility, which finds the closest path from Foursquare venues to the bus stops and to understand the differences in accessibility on different day and at different hours. In conclusion, the density of the Foursquare venues appears to be higher on weekends. The observed check-in patterns are not statistically different both on weekday days and weekday nights and weekend days and weekend nights. Moreover, the levels of accessibility to public transport do not different on weekdays and weekends.