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Geospatial Analysis to Support Urban Planning in Beijing (GeoJournal Library, Band 116) - Softcover

Buch 115 von 128: GeoJournal Library

Long, Ying; Shen, Zhenjiang

 
9783319353456: Geospatial Analysis to Support Urban Planning in Beijing (GeoJournal Library, Band 116)

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Ying Long, Ph.D. is now working in the School of Architecture, Tsinghua University, China as a research professor. His research focuses urban science, including applied urban modeling, urban big data analytics & visualization, quantitative urban studies, planning support systems, data augmented design and future cities. He has an education background in both environmental engineering and city planning. Before joining Tsinghua University, he has worked for Beijing Institute of City Planning as a senior planner for eleven years. Familiar with planning practices in China and versed in international literature, Dr. Long's academic studies creatively integrate international methods and experiences with local planning practices. He has published almost two hundred papers and led over twenty research/planning projects. His funded projects range from international organizations like World Bank, World Health Organization, World Resource Institute and NRDC, and Wellcome Trust, internet companies like Alibaba, Baidu, Jingdong, Tencent, Didi, Mobike and Gudong, local governments like Beijing, Chengdu, Qingdao, Hefei, Zunyi, Rongcheng and Laizhou, to central governments like NDRC and MOHURD, and the NSFC. Dr. Long is also the founder of Beijing City Lab (BCL www.beijingcitylab.com), an open research network for quantitative urban studies. More information is available at http://www.beijingcitylab.com/longy.
Enjia Zhang is a research fellow of Beijing City Lab and is in the second year of her PhD in Urban and Rural Planning at Tsinghua University. Her research focuses on data augmented design and quantitative urban studies, with emphasis on the application of data science in urban planning and design.

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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.

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9783319193410: Geospatial Analysis to Support Urban Planning in Beijing (GeoJournal Library, 116, Band 116)

Vorgestellte Ausgabe

ISBN 10:  3319193414 ISBN 13:  9783319193410
Verlag: Springer, 2015
Hardcover