2021
DOI: 10.1088/1748-9326/ac413b
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The cyber-consciousness of environmental assessment: how environmental assessments evaluate the impacts of smart, connected, and digital technology

Abstract: Digitally-enabled technologies are increasingly cyber-physical systems (CPS). They are networked in nature and made up of geographically dispersed components that manage and control data received from humans, equipment, and the environment. Researchers evaluating such technologies are thus challenged to include CPS subsystems and dynamics that might not be obvious components of a product system. Although analysts might assume CPS have negligible or purely beneficial impact on environmental outcomes, such assum… Show more

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Cited by 14 publications
(10 citation statements)
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References 115 publications
(105 reference statements)
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“…the charging station management system [32]. Inclusion of this digital layer in environmental assessment is important, especially as infrastructure systems become increasingly dependent on a dispersed network of data and communication facilities for their operation [21]. During use, the EVCS requires communication among chargers, station operators, and the grid for a variety of purposes including financial transactions, battery management, and charge management [33,34].…”
Section: Use Componentsmentioning
confidence: 99%
See 1 more Smart Citation
“…the charging station management system [32]. Inclusion of this digital layer in environmental assessment is important, especially as infrastructure systems become increasingly dependent on a dispersed network of data and communication facilities for their operation [21]. During use, the EVCS requires communication among chargers, station operators, and the grid for a variety of purposes including financial transactions, battery management, and charge management [33,34].…”
Section: Use Componentsmentioning
confidence: 99%
“…This expansion suggests a potential concern about embodied emissions in EV charging infrastructure mirroring the burden shifting concern about the EVs themselves, but this issue is not widely explored. Embodied emissions of renewable energy infrastructure has received substantial attention as part of the overall effort to direct the scale and speed of energy system decarbonization [18,19], and embodied emissions of digital infrastructure have come under similar scrutiny [20][21][22]. In particular, this issue arises because zero-carbon infrastructure will be built with carbon-based inputs until the zero-carbon system is large enough to sustain demand.…”
Section: Introductionmentioning
confidence: 99%
“…In other cases, they required more statistics at local administrative levels or evidence based on strong scientific rigor. As suggested by Mulrow et al (2021), accounting for the environmental impact of digitalisation is not only a matter of multi-stakeholder platforms being conscious about the materiality and ecological dimensions, but also about the availability of statistics and well-modelled quantitative assessments that support factbased scenario analyses, while recognising also the inherent difficulties in conducting holistic, quantitative environmental assessments. Therefore, we call on for more ad-hoc research on minority and gender dynamics in digital agriculture, as well as research efforts to support participatory assessments with increased information and understanding of the environmental dependencies, costs, and impacts of stand-alone and combined digital technologies.…”
Section: Limitations Of the Framework And Future Researchmentioning
confidence: 99%
“…There are suggestions that digital agriculture may have beneficial effects on pressing sustainability matters (Kamilaris et al, 2017;Pesce et al, 2019;Schroeder et al, 2021;Wolfert et al, 2017). However, it is not just the technical performances and potential benefits of single digital technologies that are receiving growing attention from funders, technological providers and other actors at the science-policy-society interface (Lioutas et al, 2021;Mulrow et al, 2021;Rose and Chilvers, 2018;Visser et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
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