Big Data Support of Urban Planning and Management: The Experience in China (Advances in Geographic Information Science)

ISBN 10: 3319847805 ISBN 13: 9783319847801
Verlag: Springer, 2018
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In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.

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Zhenjiang Shen's research interests include policy-making support systems for planning and design using GIS & VR technology. He is serving as commissioner of Information Technology Education of Architectural Institute of Japan, and is a member of Scientific Committee of City Planning Institute of Japan. Dr. Shen also served as vice director, Urban Big data Commission, Chinese Society of Urban Studies. He is a member of Commission on Geospatial Analysis and Modeling of International Cartographic Association (ICA), and works as a joint member of Fudan University and PhD Instructor in Tsinghua University, China. Dr. Shen is editor-in-chief of IRSPSD International, managing editor of IJSSS and IJSSoc, and is General Director of International Community on Spatial Planning and Sustainable Development.

Miayoyi Li's research interests include spatial/urban planning, urban big data analysis, Geospatial analysis & Geo-simulations. He served as a researcher in the Information Center of Tsinghua Tongheng Planning & Design Institute (THUPDI), which is affiliated with the School of Architecture, Tsinghua University.

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Titel: Big Data Support of Urban Planning and ...
Verlag: Springer
Erscheinungsdatum: 2018
Einband: Softcover
Zustand: New

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ISBN 10: 3319847805 ISBN 13: 9783319847801
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China. Artikel-Nr. 9783319847801

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Taschenbuch. Zustand: Neu. Neuware -In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, suchas that obtained throughcell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas onhuman mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 488 pp. Englisch. Artikel-Nr. 9783319847801

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