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Trips and their CO2 emissions to and from a shopping center
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Urban and regional planning/GIS-institute. School of Remote Sensing and Information Engineering, Wuhan University, China.
Högskolan Dalarna.
Högskolan Dalarna.
2013 (English)In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 33, p. 135-145Article in journal (Refereed) Published
Abstract [en]

Previous studies have focused on entire trips within a geographical region, while only a few have examined trips to and from a city landmark. This paper examines trips and their CO2 emissions to and from a shopping center from a time-space perspective, and it further considers how this information can be used in relocation planning. It is a case study in the Borlange city in mid-Sweden where trips to the city's largest shopping mall are scrutinized. We use GPS tracking data of car trips starting and ending at the shopping center. Firstly, we analyze the traffic emission patterns from a time-space perspective where the temporal patterns reveal hourly-based traffic emission dynamics. The spatial analysis uncovers a heterogeneous distribution of traffic emissions in spatial areas and individual street segments. Secondly, we find the observed trips mostly agree with an optimal route in terms of CO2 emissions. Drawing on this finding, we thirdly evaluate the location of the current shopping center by comparing it to two competing locations. We conclude that the two competing locations, being in the vicinity of the current one, would induce an insignificant improvement in terms of CO2 emissions. (C) 2013 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
2013. Vol. 33, p. 135-145
Keywords [en]
GPS tracking data, Trips, CO2 emissions, Relocation planning
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:hig:diva-17816DOI: 10.1016/j.jtrangeo.2013.09.018ISI: 000330817000013Scopus ID: 2-s2.0-84886291768OAI: oai:DiVA.org:hig-17816DiVA, id: diva2:761824
Available from: 2014-11-08 Created: 2014-11-08 Last updated: 2018-03-13Bibliographically approved

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Jia, Tao

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CiteExportLink to record
Permanent link

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