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Titlebook: Geospatial Analysis to Support Urban Planning in Beijing; Ying Long,Zhenjiang Shen Book 2015 Springer Nature Switzerland AG 2015 Ascertain

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發(fā)表于 2025-3-21 17:48:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Geospatial Analysis to Support Urban Planning in Beijing
編輯Ying Long,Zhenjiang Shen
視頻videohttp://file.papertrans.cn/385/384044/384044.mp4
概述Shows how geospatial analysis can be a useful tool to help in ascertaining patterns of activities and support urban planning.Describes a comprehensive framework of novel simulation approaches, convent
叢書名稱GeoJournal Library
圖書封面Titlebook: Geospatial Analysis to Support Urban Planning in Beijing;  Ying Long,Zhenjiang Shen Book 2015 Springer Nature Switzerland AG 2015 Ascertain
描述.This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing as well as other mega-metropolitan areas. It investigates the relationships between human behaviors and spatial patterns in order to simulate activities in an urban space, visualize planning alternatives, and support decision making..The book first explains urban space using geometric patterns, such as points, networks, and polygons, that help identify patterns of household and individual human behavior. Next, it details how novel simulation methodologies, such as cellular automaton and multi-agent systems, and conventional urban modeling, such as spatial interaction models, can be used to identify an optimal or a simulated solution for a better urban form. .The book develops a comprehensive land use and transportation integrated model used to explore the spatial patterns ofmutual interaction between human mobility and urban space. This model can help forecast the distribution of different types of households, rent prices, and land prices, as well as the distribution of routes and traf
出版日期Book 2015
關(guān)鍵詞Ascertaining patterns of activities in urban space; Better urban form and better planning solution; Co
版次1
doihttps://doi.org/10.1007/978-3-319-19342-7
isbn_softcover978-3-319-35345-6
isbn_ebook978-3-319-19342-7Series ISSN 0924-5499 Series E-ISSN 2215-0072
issn_series 0924-5499
copyrightSpringer Nature Switzerland AG 2015
The information of publication is updating

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