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Travel patterns and the potential use of electric cars – Results from a direct survey in six European countries

A significant penetration of electrical drive vehicles (EDVs) in the fleet is possible only if their use is compatible with mobility patterns of individuals. Building on the analysis of car mobility patterns by means of web-based car trips diaries filled in by a sample of individuals in six European...

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Bibliographic Details
Published in:Technological forecasting & social change 2014-09, Vol.87, p.51-59
Main Authors: Pasaoglu, G., Fiorello, D., Martino, A., Zani, L., Zubaryeva, A., Thiel, C.
Format: Article
Language:English
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Summary:A significant penetration of electrical drive vehicles (EDVs) in the fleet is possible only if their use is compatible with mobility patterns of individuals. Building on the analysis of car mobility patterns by means of web-based car trips diaries filled in by a sample of individuals in six European countries, this paper provides insights on how EDVs could fit mobility habits. Critical aspects related to driving behaviour, which should be considered to allow the penetration of electric cars in the market, are identified. Among others results, we show that average daily driven distance in 6 countries ranges from an average of 40km (UK) to an average of 80km (Poland) and the parking time after the last trip of a day amounts to more than 16h per day. These findings show that the current drive and parking behaviours are in line with the range limitation of current EDVs and the potential need for a full slow recharge of an average EDV battery. Our results are a starting point for the estimation on energy demand profiles to assess how electrical energy supply can meet demand under the assumptions of a wide market share of EDVs. •Survey of car mobility patterns via car trip diaries for 6 European countries•Analysis of current drive and parking behaviors•Drive patterns seem to be in line with the range limitation of current EDVs offers•Park patterns support a full daily slow recharge of an average EDV battery•Findings can be used in prediction of electricity demand of EDV usage in the EU
ISSN:0040-1625
1873-5509
DOI:10.1016/j.techfore.2013.10.018