2013
DOI: 10.1016/j.trd.2012.12.002
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Understanding carbon: Making emissions information relevant

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Cited by 16 publications
(13 citation statements)
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“…Another study conducted in 48 US states showed that the users value road and traffic information as the most important feature of travel information systems [20]. As for information metrics, Brazil, Caulfied, and Rieser-Schüssler [21] studied the effectiveness of different methods of presenting transport-related carbon emissions. They found that the users demanded receiving carbon emissions in simple numerical form (i.e., Kilograms) [21].…”
Section: System Design Preferencesmentioning
confidence: 99%
See 1 more Smart Citation
“…Another study conducted in 48 US states showed that the users value road and traffic information as the most important feature of travel information systems [20]. As for information metrics, Brazil, Caulfied, and Rieser-Schüssler [21] studied the effectiveness of different methods of presenting transport-related carbon emissions. They found that the users demanded receiving carbon emissions in simple numerical form (i.e., Kilograms) [21].…”
Section: System Design Preferencesmentioning
confidence: 99%
“…As for information metrics, Brazil, Caulfied, and Rieser-Schüssler [21] studied the effectiveness of different methods of presenting transport-related carbon emissions. They found that the users demanded receiving carbon emissions in simple numerical form (i.e., Kilograms) [21]. In terms of fuel consumption metrics, there is no study, to the best of the authors' knowledge, that asked respondents about their preference.…”
Section: System Design Preferencesmentioning
confidence: 99%
“…Travellers may be compared to the average of the other participants (sometimes called the community), or to self-set goals. In this section, we discuss the activity system based on a number of reported studies of travel feedback apps (Gabrielli and Maimone 2013;Wells et al 2014;Broll et al 2012;Meloni and di Teulada 2015;Jariyasunant et al 2015;Brazil et al 2013). …”
Section: Travel (And Activity) Implicationsmentioning
confidence: 99%
“…Brail et al . observed a strong correlation between subjects' understanding of ways to reduce carbon emissions and the likelihood of altering mode choices. Combining revealed preference (RP) and SP data, Gaker and Walker used the latent class model to evaluate the VOG for transportation mode choices.…”
Section: Literature Reviewmentioning
confidence: 98%
“…Firstly, most studies have identified travel cost and travel time as essential variables as well as intercity and urban traveling behavior. Policy implications (e.g., out‐of‐pocket cost, parking fee, and annual registration fee) have also been considered to investigate their effects on the promotion of low‐carbon mode usage . Secondly, carbon emissions from fueled and low‐carbon vehicles usually play a key role in proving the study's main hypothesis.…”
Section: Literature Reviewmentioning
confidence: 99%