Geospatial Analysis to Support Urban Planning in Beijing (GeoJournal Library)
Language: English
Published by Springer, 2015
- Hardcover
- New
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
AbeBooks seller since November 22, 2018
Item description from seller
Seller Inventory # 26372488328
- Title
- Geospatial Analysis to Support Urban Planning in Beijing (GeoJournal Library)
- Author
- Long, Ying; Shen, Zhenjiang
- Publisher
- Springer
- Publication year
- 2015
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319193414
- ISBN 13
- 9783319193410
- Series
- Book 115 of 128: GeoJournal Library
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 traffic volume based on an appraisal of labor demand and supply.
This book shows how geospatial analysis can be a useful tool for planners and decision makers to help in ascertaining patterns of activities and support urban planning. Offering both novel and conventional approaches to urban modeling, it will appeal to researchers, students, and policy makers looking for the optimal way to plan the d
evelopment of a mega-metropolitan area."Synopsis" may belong to another edition of this title.
From the Back Cover
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 traffic volume based on an appraisal of labor demand and supply.
This book shows how geospatial analysis can be a useful tool for planners and decision makers to help in ascertaining patterns of activities and support urban planning. Offering both novel and conventional approaches to urban modeling, it will appeal to researchers, students, and policy makers looking for the optimal way to plan the d
evelopment of a mega-metropolitan area."About the title" may belong to another edition of this title.
Books Puddle
New York, NY, U.S.A.
AbeBooks seller since November 22, 2018
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