The Spatial Cluster Analysis on Open data initiative local government in Japan

Abstract

The aim of this paper is to examine quantitatively clarified the influence of the proximity of local governments on the approach to open data by The spatial cluster Analysis of Open data initiative local government on transition in Japan.As a result, (1) After setting a maximum distance threshold of 30 km and extracting the clusters, we found 16 Clusters of opendata municipalities with data initiatives were extracted. By region, 2 in Tohoku, 4 in Kanto, 2 in Hokuriku, 4 in Tokai, 1 in Kansai, 1 in Sanyo, 1 in Shikoku, 1 in Kyushu. (2) In the open data utilization rate by cluster in the 30-km region, Noshiro City (Akita Prefecture), Hitoyoshi City (Kumamoto Prefecture) and Saito City (Miyazaki Prefecture) were selected as clusters with 0% utilization rate.Thirteen clusters were extracted including Asahikawa, Hokkaido, as clusters with less than 20% of the population.In order to achieve the opendata 100% adoption rate, it will be effective to encourage the municipalities that form this cluster to implement open data policies.