| Project/Area Number |
24560739
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Town planning/Architectural planning
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| Research Institution | Yokohama National University |
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Principal Investigator |
FUJIOKA YASUHIRO 横浜国立大学, 都市イノベーション研究院, 准教授 (80322098)
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| Co-Investigator(Kenkyū-buntansha) |
ARAI Nobuyuki 東北工業大学, 工学部, 准教授 (20552409)
KOSUGI Manabu 東北工業大学, ライフデザイン学部, 准教授 (30410856)
YASUTAKE Atsuko 長崎大学, 工学(系)研究科(研究院), 准教授 (60366432)
HARADA Yoko 福井大学, 工学(系)研究科(研究院), 准教授 (00377475)
OHARA Kazuoki 横浜国立大学, 都市イノベーション研究院, 教授 (10194268)
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| Co-Investigator(Renkei-kenkyūsha) |
ITONAGA Koji 日本大学, 生物資源科学部, 教授 (10184706)
FUJISAWA Naoki 日本大学, 生物資源科学部, 専任講師 (10409071)
KATO Hitomi 東海大学, 工学部, 教授 (00152736)
ISHIKAWA Hiroyuki 静岡大学, イノベーション社会連携推進機構, 准教授 (50405726)
EMIZU Tadahito 東海大学, 課程資格教育センター, 特任講師 (40609351)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 郊外住宅地 / 団地 / 高齢化 / 人口減少 / 空き家 / マネジメント / 近居 / コミュニティ / 外出 / ゆかり |
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| Outline of Final Research Achievements |
This research handled the state of the planning theory of the non-compact residential area in the time of the reduction and the decrease age. A Suburb in metropolitan area and a suburb in local city, an analysis considered various area problems as a main target area, and we assumed that the common point and point of difference were clear. I concluded to be proper for the "territory" concept that it was established at first. It was indicated that aim to "the width on the time axis" is important as the element which influences the quality of "territory". We assumed that it was clear that development of resident stabilization technology based on a future change prediction is the next problem.
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