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Trips and their CO2 emissions to and from a shopping center
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Samhällsbyggnad/GIS-Institutet. School of Remote Sensing and Information Engineering, Wuhan University, China.
Högskolan Dalarna.
Högskolan Dalarna.
2013 (Engelska)Ingår i: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 33, s. 135-145Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
2013. Vol. 33, s. 135-145
Nyckelord [en]
GPS tracking data, Trips, CO2 emissions, Relocation planning
Nationell ämneskategori
Samhällsbyggnadsteknik
Identifikatorer
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
Tillgänglig från: 2014-11-08 Skapad: 2014-11-08 Senast uppdaterad: 2018-03-13Bibliografiskt granskad

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Totalt: 63 träffar
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