Sustainability | Free Full-Text | Users’ Experiences with the Use of Transaction Data to Estimate Consumption-Based Emissions in a Carbon Calculator


With international greenhouse fuel (GHG) emissions ever growing, we’re at the moment seeing a renewed curiosity in carbon footprint calculators (or carbon calculators for brief). Whereas carbon calculators have historically calculated emissions based mostly on person enter about e.g., meals, heating, and touring, a brand new improvement on this space is the usage of transaction information to additionally estimate emissions based mostly on consumption. Such carbon calculators ought to have the ability to present customers with extra correct estimations, simpler enter potentialities, and an incentive to proceed utilizing them. On this paper, we current the outcomes from a survey despatched to the customers of such a novel carbon calculator, known as Svalna. Svalna provides customers the chance to attach their checking account. The transaction information are then coupled with Environmental Prolonged Multi Regional Enter Output information (EE-MRIO) for Swedish circumstances that are used to find out a steady overview of the person’s greenhouse fuel emissions from consumption. The purpose of the survey was to (a) perceive whether or not persons are prepared to attach their checking account, (b) whether or not they belief the calculations of their emissions, and (c) whether or not they assume the usage of Svalna has an impact on their behaviour. Moreover, we needed to understand how Svalna could possibly be improved. Whereas the outcomes of the survey confirmed that many customers had been prepared to attach their checking account, a fairly giant a part of the customers perceived security dangers in doing so. The customers additionally confirmed an solely common degree of belief within the correctness of the estimated greenhouse fuel emissions. An absence of belief was attributed to experiencing technical issues but additionally to not understanding how the emissions had been calculated and since the calculator couldn’t seize all particulars of the person’s life. Nevertheless, many customers nonetheless indicated that the usage of Svalna had helped them to provoke motion to cut back their emissions. So as to enhance Svalna, the customers needed to have the ability to present extra particulars, e.g., by scanning receipts and get higher choices for coping with a shared financial system. We conclude this paper by discussing some alternatives and challenges for the usage of transaction information in carbon footprint calculators.
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