Data-centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia) - Tapa blanda

Banihashemi, Saeed; Sohi, Sepideh Zarepour

 
9780367689933: Data-centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia)

Sinopsis

This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions.

This book is one of the first endeavors to present the data-driven methods for regenerative built environments and integrate it with the novel design solutions. It looks at four specific areas in which data is used - urban land use, transportation and traffic, environmental concerns and social issues - and draws on the theoretical literature concerning regenerative built environments to explain how the power of big data can achieve the systematic integration of urban design solutions. It then applies an in-depth case study method on Asian metropolises including Beijing and Tehran to bring the developed innovation into a research-led practical context.

This book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.

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Acerca del autor

Saeed Banihashemi is Assistant Professor of Built Environment discipline in the School of Design and Built Environment, Faculty of Arts and Design; University of Canberra (UC), Australia. He obtained his PhD from the Built Environment school of University of Technology Sydney (UTS).

Sepideh Zarepour Sohi has a mixed background of urban planning and design, graduated from the Faculty of Fine Arts, University of Tehran, Iran. She is the professional urban designer and planner.

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Otras ediciones populares con el mismo título

9780367689926: Data-centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia)

Edición Destacada

ISBN 10:  0367689928 ISBN 13:  9780367689926
Editorial: Routledge, 2022
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