Options
Incorporating bio-physical sciences into a decision support tool for sustainable urban planning
Date Issued
2014-11-12
Date Available
2025-07-25T10:00:36Z
Abstract
Deciding upon optimum planning actions in terms of sustainable urban planning involves the consideration of multiple environmental and socio-economic criteria. The transformation of natural landscapes to urban areas affects energy and material fluxes. An important aspect of the urban environment is the urban metabolism, and changes in such metabolism need to be considered for sustainable planning decisions. A spatial Decision Support System (DSS) prototyped within the European FP7-funded project BRIDGE (sustainaBle uRban plannIng Decision support accountinG for urban mEtabolism), enables accounting for the urban metabolism of planning actions, by exploiting the current knowledge and technology of biophysical sciences. The main aim of the BRIDGE project was to bridge the knowledge and communication gap between urban planners and environmental scientists and to illustrate the advantages of considering detailed environmental information in urban planning processes. The developed DSS prototype integrates biophysical observations and simulation techniques with socio-economic aspects in fiveEuropean cities, selected as case studies for the pilot application of the tool. This paper describes the design and implementation of the BRIDGE DSS prototype, illustrates some examples of use, and highlights the need for further research and development in the field.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Other Sponsorship
General Secretariat for Research and Technology of Greece
Type of Material
Journal Article
Publisher
MDPI
Journal
Sustainability
Volume
6
Issue
11
Start Page
7982
End Page
8006
Copyright (Published Version)
2014 the Authors
Language
English
Status of Item
Peer reviewed
ISSN
2071-1050
This item is made available under a Creative Commons License
File(s)
Loading...
Name
2014_Sustainability_BRIDGE.pdf
Size
7.64 MB
Format
Adobe PDF
Checksum (MD5)
2eb18c7ee3e89eff3981bf47a51661de
Owning collection