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Trips and their CO2 emissions induced by a shopping center
Wuhan University.
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
2013 (English)Report (Other academic)
Abstract [en]

Most previous studies have focused on entire trips in a geographic region, while a few of them addressed trips induced by a city landmark. Therefore paper explores trips and their CO2 emissions induced by a shopping center from a time-space perspective and their usage in relocation planning. This is conducted by the means of a case study in the city of Borlänge in mid-Sweden where trips to the city’s largest shopping mall in its center are examined. We use GPS tracking data of car trips that end and start at the shopping center. Thereafter, (1) we analyze the traffic emission patterns from a time-space perspective where temporal patterns reveal an hourly-based traffic emission dynamics and where spatial patterns uncover a heterogeneous distribution of traffic emissions in spatial areas and individual street segments. Further, (2) this study reports that most of the observed trips follow an optimal route in terms of CO2 emissions. In this respect, (3) we evaluate how well placed the current shopping center is through a comparison with two competing locations. We conclude that the two suggested locations, which are close to the current shopping center, do not show a significant improvement in term of CO2 emissions.

Place, publisher, year, edition, pages
2013. , 20 p.
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2013:02
Keyword [en]
GPS tracking data, trips, CO2 emissions, relocation planning
National Category
Social and Economic Geography Other Earth and Related Environmental Sciences
Research subject
Komplexa system - mikrodataanalys, General Microdata Analysis - retail; Komplexa system - mikrodataanalys, General Microdata Analysis - methods; Komplexa system - mikrodataanalys, General Microdata Analysis - transports
Identifiers
URN: urn:nbn:se:du-11675OAI: oai:DiVA.org:du-11675DiVA: diva2:586574
Funder
Handelns utvecklingsråd
Available from: 2013-01-14 Created: 2013-01-11 Last updated: 2015-07-01Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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