Abstract
The purpose of this study is to verify whether the introduction of smart city service is affected by geographically adjacent local governments and to analyze how the local governments that introduced smart city services are clustered empirically. For this purpose, this study surveyed 226 primary local governments nationwide regarding whether they introduced smart city service or not and the introduction date of smart city service in the field of safety and urban management. Next, the introduction degree of smart city service is divided into the first Smart City Comprehensive Plan and the second Smart City Comprehensive Plan period and compared. The empirical analysis was conducted to examine spatial autocorrelation of the introduction degree of smart city service in the field of safety and urban management. As an analytical method, data mapping, Moran’s I statistic of spatial autocorrelation, LISA (local indicators of spatial association) were used. As a result, first, before the second Smart City Comprehensive Plan was established, smart city services were introduced mainly in urban management fields such as facility management rather than safety fields. Second, the introduction of smart city services of the primary local governments showed a positive autocorrelation and it revealed that the area where the degree of introduction of the smart city service in the unit area and the adjacent area are both high and the low areas are clustered respectively. The results of this study can be used as the basic data for policy direction of central government for further introduction of smart city service.
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This research was supported by the MOLIT(The Ministry of Land, Infrastructure and Transport) of Korea, under the UPA(Urban Planning & Architecture) research support program supervised by the KAIA(Korea Agency for Infrastructure Technology Advancement) (17AUDP-B070716-05).
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Kim, Hk., Yi, Ms. & Shin, Db. Regional diffusion of smart city service in South Korea investigated by spatial autocorrelation: focused on safety and urban management. Spat. Inf. Res. 25, 837–848 (2017). https://doi.org/10.1007/s41324-017-0150-2
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DOI: https://doi.org/10.1007/s41324-017-0150-2