Out-of-town shopping and its induced CO2-emissions Abstract Planning policies in several European countries have aimed at hindering the expansion of out-of-town shopping centers. One argument for this is concern for the increase in transport and a resulting increase in environmental externalities such as CO 2-emissions. This concern is weakly founded in science as few studies have attempted to measure CO 2-emissions of shopping trips as a function of the location of the shopping centers. In this paper we conduct a counter-factual analysis comparing downtown, edge-of-town and out-of-town shopping. In this comparison we use GPS to track 250 consumers over a time-span of two months in a Swedish region. The GPS-data enters the Oguchi's formula to obtain shopping trip-specific CO2-emissions. We find that consumers’ out-of-town shopping would generate an excess of 60 per cent CO 2-emissions whereas downtown and edge-of-town shopping centers are comparable. Keywords: Car-specific CO2-emissions; Counter-factual; Dense network; GPS tracking; Regional shopping centers Which is about to appear in Journal of Retailing and Consumer Services. Given time, I might also present: An empirical test of the gravity p-median model A customer is presumed to gravitate to a facility by the distance to it and the attractiveness of it. However regarding the location of the facility, the presumption is that the customer opts for the shortest route to the nearest facility.This paradox was recently solved by the introduction of the gravity p-median model. The model is yet to be implemented and tested empirically. We implemented the model in an empirical problem of locating locksmiths, vehicle inspections, and retail stores ofv ehicle spareparts, and we compared the solutions with those of the p-median model. We found the gravity p-median model to be of limited use for the problem of locating facilities as it either gives solutions similar to the p-median model, or it gives unstable solutions due to a non-concave objective function. pimcore.ehl.lu.se :: pimcore File Extras Settings Search Help Logout Documents stam11_probability_theory star02_modern_quantative_marketing_research_methods stag15_tidsserieanalys stan40_first_year_master_thesis stan40_first_year_master_thesis stan41_multivariate_analysis courses sta Save & Publish home Edit snippet stat.lu.se Unpublish Preview Delete Settings Reload Properties Show in Tree Versions Schedule 439 Dependencies universitet | In English Lunds kalendarium en /stat.lu.se/forskning/seminarier/tidigare Normal Source forskning publikationer Assets seminarier Calendar tidigare Om institutionen Studera statistik Forskning Kontakt Content kontakt EKHPub ominst Titel (obligatorisk) News utbildning Statistiska institutionen RSS test Snippet arkiv testsida YouTube Publikationer Heading Seminarier Image Tidigare seminarier Staff Link Kicker (kompletterande rubrik till sidtiteln) Link Info Target Advanced Ingress Link Type(en kort och konsis sammanfattning av sidinnehållet) URL URL Protocol URL http:// http://(text, bilder, länkar, personallista mm) Body Content Add text VT 2013 Out-of-town shopping and OKits induced COCancel 2emissions by Kenneth Carling 2013-04-24 Assets Objects Kalendarium Nyheter Read more New Version available: 1.4.10 http://pimcore.ehl.lu.se/admin/?_dc=1366869367[2013-04-25 12:29:59] powered by pimcore - Version: 1.4.5 (Build: 1953)