Vacant Home Research Paper

1052 Words5 Pages
Rapid growth of vacant homes has been problematic especially in local cities in Japan. Vacant homes are believed to decline the financing of municipalities, alongside with aging population and diminishing labor force. As a countermeasure, various cities aim to shift towards compact city through smart shrinking, and intend on lowering energy consumption as a city. Therefore, this study focuses on distribution of vacant dwellings, resilience and local economy to assess smart shrinking through considering vacant homes as a scale of compactness. Examination through distribution analysis examined that not only the sub-urban areas experienced large vacant housing rate.

1. INTRODUCTION
1.1. Background
Accommodation facilities make a crucial part
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Further, provide models of the distribution of vacant dwellings, and provide suggestions of shrinking areas and economical assessments based on each model.
2. LITERATURE REVIEW
2.1. Preceding Studies on Vacant Homes
Researches on vacant homes are still underway as phenomenon of the growth in vacant dwellings are unique in Japan. Nonetheless several critical researches have been conducted, and could be divided into research on possible land use, causality and regression, and prediction of future growth.
i. Research on Possible land use
The study on the land use of vacant homes has been seen to be vital for countermeasures regarding the growth of vacant dwellings. Suzuki3) for instance suggested through hedonic approach that replacing vacant lots temporarily with garden and agricultural land use is effective in densely inhabited residential area. Equivalently, Nakai4) quantitatively assessed resilience of cities and suggested that using such areas for the space of disaster prevention is effective for decreasing vulnerability, and achieving resilient
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Characterization of Thesis
From the research in potential land use of vacant homes, it is evident that shift in land use is one countermeasure to slow the growth of vacant homes. Additionally, examining causality of vacant homes alongside allows the attainment of cause and effect relation of the development of vacant homes, and hence helps grasp the behavior of study area. Conducting regression analysis for predicting future growth and distribution thereafter allows detailed modeling of the growth of vacant homes.
As seen from preceding studies, consideration of social issues impacting growth of vacant homes through regression analysis has been done. However, no research attempts to incorporate distribution of vacant housing, resilience of cities, and impacts on local economy in the process of constructing a prediction model. Accordingly, the prediction model helps to quantitatively assess smart shrinking, and as a result will behave as an indicator for measuring the effectiveness of political measures. Therefore, in this research the process of smart shrinking will be
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