Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Using causal maps to identify potential sources of environmental impact outside the scope of LCA studies: preliminary findings from case studies on washing machines and road vehicles
KTH, School of Industrial Engineering and Management (ITM), Industrial Ecology.ORCID iD: 0000-0002-7717-600X
KTH, School of Industrial Engineering and Management (ITM), Industrial Ecology.ORCID iD: 0000-0002-9869-9707
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Environmental Strategies.ORCID iD: 0000-0002-2664-8783
Polytechnic of Turin, Architectural and Industrial Design Department.
Show others and affiliations
2012 (English)In: Proceedings of the 18th Annual International Sustainable Development Research Conference, University of Hull, Hull, UK, 24 – 26 June 2012, Hull, UK, 2012Conference paper, Published paper (Other academic)
Abstract [en]

Much of the environmental impacts of which a product will potentially have during its life cycle  are  determined  during  the  design  phase  by  choices  such  as  type  of  materials  and manufacturing  processes.  The  Life  Cycle  Assessment  (LCA)  method  is  commonly  used  to assess  the  potential  environmental  impacts  and  identify  hot-spots  for  improvements  of  a product system. However, other important variables exist outside the product system that can also  influence  environmental  impacts.  The  aim  of  this  study  is  to  utilise  causal  maps  to identify variables which may not typically be identified and considered in LCA studies but may have significant influence upon environmental impacts through cause-effect chains. To illustrate the utility of causal maps, household washing machines and conventional passenger cars are chosen as case studies. Preliminary findings indicate that causal mapping can be used to  identify  which  are  the  relevant  variables  and  describe  how  they  potentially  interact  in  a system perspective. This knowledge might allow for more robust decision support.

Place, publisher, year, edition, pages
Hull, UK, 2012.
Keyword [en]
Life Cycle Assessment; Environmental Impacts; Systems Thinking; Sustainability
National Category
Environmental Engineering
Identifiers
URN: urn:nbn:se:kth:diva-101803OAI: oai:DiVA.org:kth-101803DiVA: diva2:549555
Conference
18th Annual International Sustainable Development Research Conference, 24 – 26 June 2012
Note

QC 20120912

Available from: 2012-09-12 Created: 2012-09-04 Last updated: 2012-09-12Bibliographically approved

Open Access in DiVA

Using causal maps to identify potential sources of environmental impact outside the scope of LCA studies: preliminary findings from case studies on washing machines and road vehicles(587 kB)674 downloads
File information
File name FULLTEXT01.pdfFile size 587 kBChecksum SHA-512
aaad2e48ebb78b0b752d6f2d21f7ce83f02d2660c78197e3afcf21a59a921f6960a80ee4291d237b1b3799cd39c2e5ee15cd0e3e7ac90b1f502e065e16d2d551
Type fulltextMimetype application/pdf

Other links

Conference website

Authority records BETA

Laurenti, RafaelLazarevic, David

Search in DiVA

By author/editor
Laurenti, RafaelLazarevic, DavidPoulikidou, SofiaFrostell, BjörnWennersten, Ronald
By organisation
Industrial EcologyEnvironmental Strategies
Environmental Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 674 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 226 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf