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Shrinking cities have thus become a policy issue for sustainable society not only in Japan but also in Germany and the United States 2.Next Article in Journal Scale Development of Sustainable Consumption of Clothing Products.Next Article in Special Issue Socio-Spatial Aspects of Shrinking Municipalities: A Case Study of the Post-Communist Region of North-East Poland.
Previous Article in Journal Vulnerability of the So Paulo Macro Metropolis to Droughts and Natural Disasters: Local to Regional Climate Risk Assessments and Policy Responses. Previous Article in Special Issue Transforming Unused Spaces in a Shrinking City through Individuals Spontaneous Occupation Activities: The Case of Janghang, South Korea. Vodafone modem k3772 unlock softwarePlease note that many of the page functionalities wont work as expected without javascript enabled. European Journal of Investigation in Health, Psychology and Education (EJIHPE). International Journal of Environmental Research and Public Health (IJERPH). International Journal of Turbomachinery, Propulsion and Power (IJTPP). Journal of Open Innovation: Technology, Market, and Complexity (JOItmC). Journal of Otorhinolaryngology, Hearing and Balance Medicine (OHBM). Psp cso games direct downloadJournal of Theoretical and Applied Electronic Commerce Research (JTAER). Find support for a specific problem in the support section of our website. Please let us know what you think of our products and services. ![]() How Does the Location of Urban Facilities Affect the Forecasted Population Change in the Osaka Metropolitan Fringe Area. Received: 13 November 2020 Revised: 18 December 2020 Accepted: 21 December 2020 Published: 24 December 2020. This study aims to clarify the statistical causal relationship between the locations of urban facilities and forecasted population changes according to types of residential clusters in the Osaka Metropolitan Fringe areas. This papers background is the location optimization plan policy formulated by the Japanese MLIT (Ministry of Land, Infrastructure, Transport, and Tourism) in 2015. The methods combined urban ecological analysis, cohort analysis, and Bayesian network analysis. Using the Bayesian network analysis, the causal relationship between the forecasted population change ratio and the urban facility location was analyzed. ![]() Specifically, in the sprawl cluster, this study found that residential areas closer to medical facilities will sustain the future population, while in the old new-town cluster, this study found that residential areas closer to train stations will best sustain the future population. However, in the public housing cluster, residential areas more distant from regional resources will best sustain the future population. Therefore, it is worth considering different urban designs in the old new-town and public housing clusters, rather than the location optimization plan policy.
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