Analyze the spatial distribution of cultural and entertainment facilities. The nearest
Analyze the spatial distribution of cultural and entertainment facilities. The nearest neighbor index, the K function along with the nearest neighbor hierarchical cluster analysis were made use of to analyze the clustering qualities of your facilities in the urban six districts. Ultimately, a spatial regression model was constructed to analyze the influence of your social, economic and built atmosphere things on the spatial distribution of your facilities in six urban districts. The conclusions are as follows. Regarding the spatial distribution of your diversity of cultural and entertainment facilities, the diversity within the Fourth Ring Road is somewhat high. The general cultural and entertainment facilities have a important center eripheral structure. The hotspots of cultural and entertainment facilities are mainly distributed in the center of Beijing, though in the suburbs, the hotspots are only within the area where the district government is positioned. The facilities inside the six urban (Z)-Semaxanib web districts are usually clustered, but the clustering degree varies amongst various sorts of facilities. Probably the most considerable range of facility clustering characteristics is found within a radius of ten km. Bars have a tendency to gather inside a extremely modest spatial scale compared with other variety facilities. The cultural and entertainment facilities within the six urban districts is often divided into three levels of agglomeration hotspots. These agglomeration hotspots are closely related to environmental variables for example commerce, employment, targeted traffic and universities. The elements that characterize the social and financial vitality as well as the constructed environment have an essential effect around the spatial distribution of cultural and entertainment facilities in Beijing. Economic insurance institution density, developing density, security business density, housing rent and also the distance to the nearest scenic spot will be the main components affecting the distribution of cultural and entertainment facilities in Beijing.Author Contributions: Conceptualization, D.H. and S.A.; data curation, Z.C. and T.Y.; formal evaluation, D.H., J.Z. and L.L.; funding acquisition, D.H.; investigation, D.H. and J.Z.; Goralatide Technical Information methodology, D.H., J.Z. and L.L.; project administration, D.H. and S.A.; resources, J.Z.; software program, Z.C.; supervision, D.H. and S.A.; validation, Z.C. and T.Y.; visualization, D.H. and Z.C.; writing–original draft, D.H.; writing–review and editing, D.H., S.A., J.Z. and L.L. All authors have read and agreed to the published version on the manuscript.Sustainability 2021, 13,20 ofFunding: This research was jointly supported by the Beijing Social Science Fund (No. 19JDGLA006, 14CSC015), the Premium Funding Project for Academic Human Sources Improvement in Beijing Union University (No. BPHR2017CZ01), the Academic Study Projects of Beijing Union University (No. ZK40202001), Significant Scientific Analysis Incubation Project of Beijing Union University (No. RB202101). Institutional Assessment Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: The information presented within this study are obtainable on request from the first author. Acknowledgments: The authors would prefer to thank the anonymous reviewers and also the editors for their insightful comments and recommendations. Conflicts of Interest: The authors declare no conflict of interest.
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