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Optimal retail location and CO2-emissions
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0003-2317-9157
Dalarna University, School of Technology and Business Studies, Human Geography.ORCID iD: 0000-0003-4871-833X
Dalarna University, School of Technology and Business Studies, Economics.
2013 (English)In: Applied Economics Letters, ISSN 1350-4851, E-ISSN 1466-4291, Vol. 20, no 14, p. 1357-1361Article in journal (Refereed) Published
Abstract [en]

In this paper, the p-median model is used to find the location of retail stores that minimizes CO2-emissions from consumer travel. The optimal location is then compared with the existing retail location,and the excess CO2-emissions compared with the optimal solution is calculated. The results show that by using the environmentally optimal location, CO2-emissions from consumer travel could be reduced by approximately 25 per cent.

Place, publisher, year, edition, pages
Taylor & Francis, 2013. Vol. 20, no 14, p. 1357-1361
Keywords [en]
Firm location, spatial distribution of firms, p-median model, emission reduction
National Category
Geosciences, Multidisciplinary
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - retail; Complex Systems – Microdata Analysis, General Microdata Analysis - transports
Identifiers
URN: urn:nbn:se:du-12237DOI: 10.1080/13504851.2013.808306ISI: 000321180100015Scopus ID: 2-s2.0-84880026303OAI: oai:DiVA.org:du-12237DiVA, id: diva2:622455
Funder
Swedish Retail and Wholesale Development CouncilAvailable from: 2013-05-22 Created: 2013-05-22 Last updated: 2021-11-12Bibliographically approved

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Carling, KennethHåkansson, Johan

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CiteExportLink to record
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  • apa
  • ieee
  • modern-language-association-8th-edition
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  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf