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These datasets contain information about car sharing members and non-members collected through a survey carried out as part of the Work Package 5 (WP5) activities in the STARS project. The data were gathered in three European countries (Italy, Germany and Belgium) and contain information about travel habits, car ownership level and sociodemographic characteristics of the respondents. The data collected were used to: 1) Define the maximum portion of travel demand that can be served by car sharing and how this will impact the demand for other travel means. 2) Define a “rupture scenario”, where the benefits of car sharing are maximised. 3) Quantify the gap between the business as usual scenario and the rupture scenario, and the related impacts. For more information about the project, please refer to http://stars-h2020.eu/
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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