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原文传递 Predicting Vertical Urban Growth Using Genetic Evolutionary Algorithms in Tokyo's Minato Ward
题名: Predicting Vertical Urban Growth Using Genetic Evolutionary Algorithms in Tokyo's Minato Ward
其他题名: Li,X.,Yang,Q.,and Liu,X.(2007)."Genetic algorithms for determining the parameters of cellular automata in urban simulation."Sci.China Ser.D,50(12),1857-1866.
正文语种: 英文
作者: Rafael Ivan Pazos Perez
关键词: Urban morphogenesis;Genetic algorithms;Evolutionary computation;Minato Ward;Tokyo;Skyscrapers
摘要: This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo's Minato Ward is used as a case study because it has been one of the fastest growing skylines over the last 20 years. This study uses a genetic algorithm that simulates the vertical urban growth of MinatoWard to make predictions from pre-established inputted parameters. The algorithm estimates not only the number of future high-rise buildings but also the specific areas in the ward that are more likely to accommodate new high-rise developments in the future. The evolutionary model results are compared with ongoing high-rise developments in order to evaluate the accuracy of the genetic algorithm in simulating future vertical urban growth. The results of this study show that the use of genetic evolutionary computation is a promising way to predict scenarios of vertical urban growth in terms of location as well as the number of future buildings.
出版年: 2018
论文唯一标识: P-84Y2018V144N01007
英文栏目名称: TECHNICAL PAPERS
doi: 10.1061/(ASCE)UP.1943-5444.0000413
期刊名称: Journal of Urban Planning and Development
拼音刊名(出版物代码): P-84
卷: 144
期: 01
页码: 65-74
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