Data-centric Regenerative Built Environment

£19.99

Data-centric Regenerative Built Environment

Big Data for Sustainable Regeneration

City and town planning: architectural aspects Interdisciplinary studies Urban and municipal planning and policy Civil engineering, surveying and building Database design and theory Data mining Computer science

Authors: Saeed Banihashemi, Sepideh Zarepour Sohi

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Collection: Routledge Research in Sustainable Planning and Development in Asia

Language: English

Published by: Routledge

Published on: 17th March 2022

Format: LCP-protected ePub

Size: 9 Mb

ISBN: 9781000593198


Overview

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

Content and Approach

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.

Target Audience

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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