Name: Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia) (en Inglés)
SKU: 54252172
Price: 181526.00 COP
Availability: InStock
Author: Saeed Banihashemi; Sepideh Zarepour Sohi
ISBN: 9780367689926

portada Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia) (en Inglés)

Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia) (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Saeed Banihashemi; Sepideh Zarepour Sohi

Año

2022

Idioma

Inglés

N° páginas

198

Encuadernación

Tapa Dura

Dimensiones

21.6x14x1.3 cm

ISBN13

9780367689926

N° edición

Categorías

Arquitectura: edificios públicos

Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia) (en Inglés)

Saeed Banihashemi; Sepideh Zarepour Sohi (Autor) · Routledge · Tapa Dura

Libro Nuevo Importado

Envío: 21 a 27 días háb.

$ 363.051$ 181.526

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 59 unidades

$ 181.526

¡Envío Gratis! Llega entre el 14 Oct y el 23 Oct a Bogota, Cundinamarca. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration (Routledge Research in Sustainable Planning and Development in Asia) (en Inglés)"

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.