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AN APPLICATION OF GENETIC ALGORITHM TO SELECT RETREAT AND COHESION AREAS
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- NAGAO Masahiro
- 名古屋大学 大学院環境学研究科
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- AONO Takahito
- 株式会社電通
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- TOGAWA Takuya
- 国立環境研究所 社会環境システム研究センター
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- KATO Hirokazu
- 名古屋大学 大学院環境学研究科
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- SANO Mitsuru
- 名古屋大学 大学院環境学研究科
Bibliographic Information
- Other Title
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- QOL指標と維持費用に基づく撤退・集結市街地の遺伝的アルゴリズムを用いた選定方法
- QOL シヒョウ ト イジ ヒヨウ ニ モトズク テッタイ ・ シュウケツ シガイチ ノ イデンテキ アルゴリズム オ モチイタ センテイ ホウホウ
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Description
Compact city is a promising urban form from a sustainability viewpoint, especially in developed countries. For urban planners, however, it is difficult to determine which areas should be expected to retreat and which should be concentrated. This paper discusses the morphology of an urban area after a retreat and concentration policy is implemented. The authors design and implement a genetic algorithm to determine areas that should retreat and those where concentration should occur to secure sustainability of a real local city. Changes in various indices related with Quality Of Life (QOL) and the urban forms that emerge are discussed. To evaluate this optimization technique, we focus on reducing maintenance expenses and improving the QOL within city government budget constraints. It is found that, in least maintenance cost option, people living in old houses/buildings or low land price areas may leave those districts and re-concentrate into areas where transport is convenient such as around train stations and national routes. In QOL maximization option, people living in the suburbs where transport is relatively inconvenient may move to more accessible areas. In medium option between least maintenance cost and most QOL, suburbs where land prices are low and where houses are old are the prior areas to retreat, followed by suburbs where transport is inconvenient. It is concluded that proposed optimization method, using a genetic algorithm for the evaluation of retreat and re-concentrate policies, is efficient and reliable.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
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Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 68 (5), I_339-I_348, 2012
Japan Society of Civil Engineers
