構造方程式モデリングを用いた住宅政策のための居住満足度の分析

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  • 内海 康也
    国土交通省国土技術政策総合研究所住宅研究部住宅計画研究室
  • 長谷川 洋
    国土交通省国土技術政策総合研究所

書誌事項

タイトル別名
  • STRUCTURAL EQUATION MODELING OF RESIDENTIAL SATISFACTION FOR HOUSING POLICY
  • 構造方程式モデリングを用いた住宅政策のための居住満足度の分析 : 平成25年住生活総合調査を対象として
  • コウゾウ ホウテイシキ モデリング オ モチイタ ジュウタク セイサク ノ タメ ノ キョジュウ マンゾクド ノ ブンセキ : ヘイセイ 25ネンジュウセイカツ ソウゴウ チョウサ オ タイショウ ト シテ
  • －Case study of comprehensive survey of housing life 2013－
  • －平成25年住生活総合調査を対象として－

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<p> There is increased need to improve the environment with housing life recently in Japan, because of low birthrate, aging and declining population. In this kind of situation, a housing policy should work efficiently and be tailored to needs of residents. Then, satisfaction of residents could be a good clue to consider the way. Therefore, this study tried to quantitatively reveal “the structure of residential satisfaction”, and acquire a useful data for housing policy.</p><p> Concretely, we used Comprehensive Survey of Housing Life 2013, which is the typical statistical data about conscious of residents. And we applying “Structural Equation Modeling (SEM)” and “Multiple Group Structural Equation Modeling (MGSEM)” to satisfaction data of residents. In these phases, we used R3.4.1.</p><p> As a result, this paper shows basic data for housing policy as following.</p><p> 1) In the model of “the structure of residential satisfaction” was revealed by SEM in this paper, comprehensive satisfaction of housing and environment is directly affected by satisfaction of housing and satisfaction of environment. The latent variables about safety, which residents considered particularly important, has only indirect paths through other latent variables.</p><p> 2) The latent variables have a huge effect are “Spaciousness and usability of housing(lv1)”, “Human resources (lv11)”, “Noise barrier, Privacy (lv6)” and “Housing safety against disaster (lv2)”. Of these, “Noise barrier, Privacy (lv6)” and “Housing safety against disaster (lv2)” doesn’t have direct paths to comprehensive satisfaction, so that shows importance to consider some unseen influence.</p><p> 3) MGSEM shows that “Convenience of life (lv9)” and “Service (lv10)” have large gaps among types of household, and the others don’t have. Therefore, it can be efficient for housing policy to consider following 2 points.</p><p> a) Basically, the effect of a measure of housing policy can work for every type of household.</p><p> b) When a measure should be tailored to each needs of types of household, by focusing “Convenience of life (lv9)” and “Service (lv10)” can cover most of differences.</p>

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