Skip to main content
Top
Published in: Clean Technologies and Environmental Policy 9/2018

18-08-2018 | Original Paper

Dynamic analysis of construction and demolition waste management model based on system dynamics and grey model approach

Authors: Shuwei Jia, Xiaolu Liu, Guangle Yan

Published in: Clean Technologies and Environmental Policy | Issue 9/2018

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This study aimed to reduce the amount of illegally dumped waste by establishing a construction and demolition waste management model that uses the approach of integrating system dynamics and grey model theory. First, we introduced the variable of penalty, and the sensitivity analyses of penalty and waste disposal charging fee were conducted to obtain reasonable values. Secondly, 27 scenarios were designed to explore a construction and demolition waste management strategy. The simulation results demonstrated that combination policies can not only greatly decrease the amount of illegally dumped waste (via penalty policy) and the amount of construction and demolition waste landfilling (via waste disposal charging fee) but also effectively improve the recycle rate of wastes (via a appropriate subsidy policy). Lastly, by comparing different combination of policies, some solutions were obtained. Some policy recommendations for construction and demolition waste management and emission reduction were put forward.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Literature
go back to reference Dang YG, Liu SF, Wang ZX, Lin Y (2009) Grey predictive and decision model. Science Press, Beijing Dang YG, Liu SF, Wang ZX, Lin Y (2009) Grey predictive and decision model. Science Press, Beijing
go back to reference Forrester JW (1961) Industrial dynamics. MIT Press, Cambridge Forrester JW (1961) Industrial dynamics. MIT Press, Cambridge
go back to reference Liu SF, Yang YJ, Wu LF (2014) Grey system theory and application. Science Press, Beijing Liu SF, Yang YJ, Wu LF (2014) Grey system theory and application. Science Press, Beijing
go back to reference Procter A, Bassi A, Kolling J, Cox L, Flanders N, Tanners N, Araujo R (2017) The effectiveness of light rail transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics modeling. Clean Technol Environ 19(5):1459–1474. https://doi.org/10.1007/s10098-017-1343-z CrossRef Procter A, Bassi A, Kolling J, Cox L, Flanders N, Tanners N, Araujo R (2017) The effectiveness of light rail transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics modeling. Clean Technol Environ 19(5):1459–1474. https://​doi.​org/​10.​1007/​s10098-017-1343-z CrossRef
Metadata
Title
Dynamic analysis of construction and demolition waste management model based on system dynamics and grey model approach
Authors
Shuwei Jia
Xiaolu Liu
Guangle Yan
Publication date
18-08-2018
Publisher
Springer Berlin Heidelberg
Published in
Clean Technologies and Environmental Policy / Issue 9/2018
Print ISSN: 1618-954X
Electronic ISSN: 1618-9558
DOI
https://doi.org/10.1007/s10098-018-1594-3

Other articles of this Issue 9/2018

Clean Technologies and Environmental Policy 9/2018 Go to the issue