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Measuring transport related CO2 emissions induced by online and brick-and-mortar retailing
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0003-2317-9157
Dalarna University, School of Technology and Business Studies, Statistics.
Dalarna University, School of Technology and Business Studies, Information Systems. Dalarna University, School of Technology and Business Studies, Human Geography.ORCID iD: 0000-0003-4871-833X
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0003-2970-9622
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2015 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 40, 28-42 p.Article in journal (Refereed) Published
Abstract [en]

We develop a method for empirically measuring the difference in transport related carbon footprint between traditional and online retailing (“e-tailing”) from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery points, and residences of the region’s population, and on the goods transportation networks in the studied region. Such data are readily available in most countries. The method has been evaluated using data from the Dalecarlia region in Sweden, and is shown to be robust to all assumptions made. In our empirical example, the results indicate that the average distance from consumer residence to a brick-and-mortar retailer is 48.54 km in the studied region, while the average distance to an online delivery point is 6.7 km. The results also indicate that e-tailing increases the average distance traveled from the regional entry point to the delivery point from 47.15 km for a brick-and-mortar store to 122.75 km for the online delivery points. However, as professional carriers transport the products in bulk to stores or online delivery points, which is more efficient than consumers’ transporting the products to their residences, the results indicate that consumers switching from traditional to e-tailing on average reduce their transport CO2 footprints by 84% when buying standard consumer electronics products. 

Place, publisher, year, edition, pages
2015. Vol. 40, 28-42 p.
Keyword [en]
E-tailing; Spatial distribution of firms and consumers; p-median model; Emission measurement; Emission reduction
National Category
Economic Geography Environmental Sciences
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - transports; Complex Systems – Microdata Analysis, General Microdata Analysis - retail
Identifiers
URN: urn:nbn:se:du-18930DOI: 10.1016/j.trd.2015.07.010ISI: 000364896200003OAI: oai:DiVA.org:du-18930DiVA: diva2:843465
Available from: 2015-07-28 Created: 2015-07-28 Last updated: 2017-12-04Bibliographically approved

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Carling, KennethHåkansson, JohanMeng, Xiangli

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Carling, KennethHan, MengjieHåkansson, JohanMeng, XiangliRudholm, Niklas
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Transportation Research Part D: Transport and Environment
Economic GeographyEnvironmental Sciences

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