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Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior

机译:演示摘要:从自动活动跟踪中提取生态反馈信息,以促进高能效的个人出行行为

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摘要

Nowadays, most people own a smartphone which is well suited to constantly record the movement of its user. One use of the gathered mobility data is to provide users with feedback and suggestions for personal behavior change. Such eco-feedback on mobility patterns may stimulate users to adopt more energy-efficient mobility choices. In this paper, we present a methodology to extract mobility patterns from users' trajectories, compute alternative transport options, and aggregate and present them in an intuitive way. The resulting eco-feedback helps people understand their mobility choices and explore sustainable alternatives.
机译:如今,大多数人都拥有一部智能手机,该智能手机非常适合不断记录其用户的运动。收集的移动性数据的一种用途是为用户提供有关个人行为改变的反馈和建议。这种对移动性模式的生态反馈可能会刺激用户采用更节能的移动性选择。在本文中,我们提出了一种从用户的轨迹中提取移动性模式,计算替代交通方式以及以直观方式进行汇总和呈现的方法。由此产生的生态反馈有助于人们了解他们的出行选择并探索可持续的替代方案。

著录项

  • 来源
    《Computer science》 |2018年第2期|267-268|共2页
  • 作者单位

    Institute of Cartography and Geoinformation, ETH Zurich,Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland;

    Dalle Molle Institute for Artificial Intelligence (IDSIA),Galleria 2, Via Cantonale 2c, 6928 Manno, Switzerland;

    Dalle Molle Institute for Artificial Intelligence (IDSIA),Galleria 2, Via Cantonale 2c, 6928 Manno, Switzerland;

    Institute of Cartography and Geoinformation, ETH Zurich,Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland;

    Insitute for Applied Sustainability to the Built Environment,University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Trevano, 6952 Canobbio,Switzerland;

    Institute of Cartography and Geoinformation, ETH Zurich,Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mobility; Tracking; Trajectory Analysis; Eco-feedback; Sustainability;

    机译:流动性跟踪;轨迹分析;生态反馈可持续发展;

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