The University of Southampton
University of Southampton Institutional Repository

Multi-scale computing for a sustainable built environment

Multi-scale computing for a sustainable built environment
Multi-scale computing for a sustainable built environment

The need to promote sustainable human settlements and to mitigate the spatial, demographic, social, economic, and environmental impacts, determined by the rapid global urbanization trend, is creating a concentration of research and development efforts in the built environment area. Considering the urbanization trend at the global level, cities constitute a priority for research and development in sustainability transitions, which should necessarily face techno- and socio economic problems. Energy use and technology affect sustainability in its fundamental components, society, environment, and economy. This chapter introduces readers to the concept of multi-level perspective modeling in sustainability transitions planning. It describes the most relevant characteristics and attributes of modeling techniques and data schemes for built environment performance modeling. The chapter also describes ongoing research on multi-scale computing for the built environment. Finally, it discusses the essential features of methodological and computational tools for the built environment.

Global urbanization, Multi-level perspective modeling, Multi-scale computing, Multi-scale modeling, Sustainability transitions planning, Sustainable built environment
53-97
Wiley
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392

Manfren, Massimiliano (2017) Multi-scale computing for a sustainable built environment. In, Smart Cities: Foundations, Principles, and Applications. Wiley, pp. 53-97. (doi:10.1002/9781119226444.ch3).

Record type: Book Section

Abstract

The need to promote sustainable human settlements and to mitigate the spatial, demographic, social, economic, and environmental impacts, determined by the rapid global urbanization trend, is creating a concentration of research and development efforts in the built environment area. Considering the urbanization trend at the global level, cities constitute a priority for research and development in sustainability transitions, which should necessarily face techno- and socio economic problems. Energy use and technology affect sustainability in its fundamental components, society, environment, and economy. This chapter introduces readers to the concept of multi-level perspective modeling in sustainability transitions planning. It describes the most relevant characteristics and attributes of modeling techniques and data schemes for built environment performance modeling. The chapter also describes ongoing research on multi-scale computing for the built environment. Finally, it discusses the essential features of methodological and computational tools for the built environment.

This record has no associated files available for download.

More information

Published date: 27 March 2017
Keywords: Global urbanization, Multi-level perspective modeling, Multi-scale computing, Multi-scale modeling, Sustainability transitions planning, Sustainable built environment

Identifiers

Local EPrints ID: 429509
URI: http://eprints.soton.ac.uk/id/eprint/429509
PURE UUID: b0bd5a4b-82d9-4f94-973b-07e64edd4290
ORCID for Massimiliano Manfren: ORCID iD orcid.org/0000-0003-1438-970X

Catalogue record

Date deposited: 28 Mar 2019 17:30
Last modified: 06 Jun 2024 01:59

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×