Classics of Data-Centric Regenerative Built Environment

Saeed Banihashemi; Sepideh Zarepour Sohi

doi:10.4324/9781003139942-1

Classics of Data-Centric Regenerative Built Environment

Saeed Banihashemi
, Sepideh Zarepour Sohi

Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

Abstract

This chapter introduces the urban regeneration and development concept and manifests the ways big data can positively support its sustainable regeneration. A conceptual framework of the classics of the data-centric regenerative built environment is presented to theorize the circular approach in the integration of key elements of people, space, time, sustainable place components and big data technology and how to implement big data applications in the design-led regenerative urban informatics. Furthermore, the suitable tools and sources of collecting, managing and sorting voluntary, automatic and monitored big data in urban environments are introduced, categorized and analyzed.

Original language	English
Title of host publication	Data-centric Regenerative Built Environment
Subtitle of host publication	Big Data for Sustainable Regeneration
Editors	Saeed Banihashemi, Sepideh Zarepour Sohi
Place of Publication	United Kingdpm
Publisher	Routledge
Chapter	1
Pages	1-19
Number of pages	19
Edition	1
ISBN (Print)	9780367689926
DOIs	https://doi.org/10.4324/9781003139942-1
Publication status	Published - 12 Feb 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.4324/9781003139942-1

https://www.routledge.com/Data-centric-Regenerative-Built-Environment-Big-Data-for-Sustainable-Regeneration/Banihashemi-Sohi/p/book/9780367689926

Cite this

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Classics of Data-Centric Regenerative Built Environment. / Banihashemi, Saeed; Zarepour Sohi, Sepideh.
Data-centric Regenerative Built Environment: Big Data for Sustainable Regeneration. ed. / Saeed Banihashemi; Sepideh Zarepour Sohi. 1. ed. United Kingdpm: Routledge, 2022. p. 1-19.

Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

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Classics of Data-Centric Regenerative Built Environment

Abstract

UN SDGs

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