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Data-centric Regenerative Built Environment: Big Data for Sustainable Regeneration

AUTHOR Banihashemi, Saeed; Sohi, Sepideh Zarepour
PUBLISHER Routledge (09/25/2023)
PRODUCT TYPE Paperback (Paperback)

Description

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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Product Format
Product Details
ISBN-13: 9780367689933
ISBN-10: 0367689936
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 198
Carton Quantity: 40
Product Dimensions: 5.50 x 0.42 x 8.50 inches
Weight: 0.52 pound(s)
Feature Codes: Bibliography, Index, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Database Administration & Management
Computers | Buildings - Public, Commercial & Industrial
Computers | Data Science - Data Visualization
Dewey Decimal: 338.927
Library of Congress Control Number: 2021058854
Descriptions, Reviews, Etc.
publisher marketing

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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List Price $28.99
Your Price  $28.70
Paperback