Reflections on the need for an improved quantitative modeling approach

Conference paper


Hosseinian-Far, Amin, Jahankhani, Hamid, Pimenidis, Elias and Wijeyesekera, D.Chitral 2011. Reflections on the need for an improved quantitative modeling approach. Advances in Computing and Technology. University of East London, London Jan 2011 London University of East London, School of Architecture Computing and Engineering.
AuthorsHosseinian-Far, Amin, Jahankhani, Hamid, Pimenidis, Elias and Wijeyesekera, D.Chitral
TypeConference paper
Abstract

There are common elements in different sustainability models regardless of their
application that can be applied to almost any system. Some of the existing models try to establish a
quantitative approach to assess sustainability, some reflect the changes of the target systems through
longitudinal evaluations on case studies and many of the models illustrate the concept using a
descriptive breakdown. This paper tries to find the common elements used in the important existing
sustainability models by comparing the models using a comparison framework. These elements will
be later become the components of a system model. This system model is represented using Complex
Adaptive Systems and Systems‟ theories and also quantitative modelling techniques in order to
eliminate some of the dilemmas in the existing sustainability modelling.

Keywordssustainability; Complex Adaptive Systems
Year2011
ConferenceAdvances in Computing and Technology
PublisherUniversity of East London, School of Architecture Computing and Engineering
Publisher's version
License
CC BY-ND
Publication dates
PrintJan 2011
Publication process dates
Deposited28 Mar 2012
Web address (URL)http://hdl.handle.net/10552/1500
Additional information

Citation:
"Reflections on the need for an improved quantitative modeling approach" Advances in Computing and Technology, University of East London, January 2011, 217-224.

Place of publicationLondon
Permalink -

https://repository.uel.ac.uk/item/8612x

Download files


Publisher's version
  • 105
    total views
  • 69
    total downloads
  • 0
    views this month
  • 1
    downloads this month

Export as