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Using Smartphones to Profile Mobility Patterns in a Living Lab for the Transition to E-mobility

机译:使用智能手机在生活实验室中分析出行模式以实现向电动汽车的过渡

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The diffusion of electric vehicles is currently the most promising opportunity to reduce the dependency on fossil fuel in the mobility sector. However, the adoption of the electric vehicles seems to be still hindered by psychological and behavioural barriers. Thus, in order to understand and to foster the transition towards more sustainable mobility styles, it becomes essential to adopt an inter-disciplinary approach. In this framework, the e-mobiliTI project was launched in late 2012 in Southern Switzerland. It aims at understanding the potential for transition in the mobility system at the local level, with a special focus on electric mobility. The project builds upon a small living lab made up of around twenty families, who will be monitored in all their trips through smart mobile devices, in order to get quantitative data, and through focus groups, in order to get qualitative data and perceptions. Here we discuss the major challenge in the initial stage of the e-mobiliTI project, that is the gathering of reliable and high-quality data on users' behaviour. We describe the automatic tracking system, and the data processing and the qualitative assessment approach and comment on the overall performances of the living lab experiment.
机译:当前,电动汽车的普及是减少交通领域对化石燃料依赖的最有希望的机会。然而,电动汽车的采用似乎仍然受到心理和行为障碍的阻碍。因此,为了理解并促进向更可持续的出行方式过渡,采用跨学科方法变得至关重要。在此框架下,e-mobiliTI项目于2012年底在瑞士南部启动。它旨在了解本地出行系统的过渡潜力,并特别关注电动出行。该项目建立在一个由大约20个家庭组成的小型生活实验室的基础上,他们在旅途中将通过智能移动设备进行监视,以获取定量数据,并通过焦点小组进行监视,以获取定性数据和看法。在这里,我们讨论e-mobiliTI项目初期的主要挑战,即收集有关用户行为的可靠且高质量的数据。我们描述了自动跟踪系统,数据处理和定性评估方法,并对生活实验室实验的整体性能进行了评论。

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