How Big Data Contributes to the Building of Citizen-Centric Smart Cities: The case of Namyangju City in Korea

Abstract

The recent increase of interest in the 'smart city' has led to many studies on this topic. However, there have been a lack of studies on improving the satisfaction of civil services that address the needs and demands of newly migrated inhabitants. In this study, we conducted a big data analysis of the city of Namyangju, an exemplary 'smart city' in Korea, from 2009 to 2016, regarding the change in population composition by the influx of new migrants and its effect on the civil service complaints. According to the results of this study, there was a statistical significance between the increase of civil service complaints and the change of migrants by age group. This suggests that the preference for civil services is different for each life-cycle stage. Moreover, the increase in the demands of civil services was different between the migrants within and from outside of Namyangju. This means that there is an expectancy disconfirmation depending on how many civil services are previously experienced. The results of this analysis also suggest the policy implications on the role of local government, to implement smart city policy for the enhancement of quality of life of a city.