远程办公对通勤二氧化碳排放的影响:以关键数据为基础,研究生活实验室的转型变化

Noah Balthasar, Timo Ohnmacht, Jana Z’Rotz, Laura Hostettler Macias, Patrick Rérat
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引用次数: 0

摘要

定量监测干预措施的温室气体(GHG)减排潜力是生活实验室方法的核心,也是方法论上的一项挑战。关于消费模式和流动行为的有效人口数据往往很少,尤其是在生活实验室建立之初(例如,需要在干预前获得基线数据)。在交通研究方面,我们开展了一项横截面调查,以便在实施干预措施前获得通勤产生的温室气体排放的关键基准数据。根据这些信息,使用线性回归模型计算和分析了通勤产生的温室气体排放量。结果显示了不同变量的影响,如工作周内远程办公的比例、固定工作地点、对个人流动性的态度和以前的搬迁行为。按每周工作时间计算,远程办公增加 10%,每年可减少约 60 千克温室气体排放(8%)。我们的结果可作为分析即将实施的(临时)干预措施(例如,在我们的生活实验室内新建协同工作空间)的基线关键数据。我们还讨论了反弹效应的提示、研究的局限性和未来的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effects of teleworking on CO2 emissions from commuting: baselining key data to investigate transformative change in living labs
The quantitative monitoring of the greenhouse gas (GHG) mitigation potential of interventions is central to a living-lab approach and is a methodological challenge. Valid population data on consumption patterns and mobility behaviour are often scarce, especially when the living lab is initially set up (for example, the need for baseline data before an intervention). In the context of transportation studies, a cross-sectional survey was carried out to baseline key data on GHG emissions generated by commuting before implementing an intervention. Based on this information, the GHG emissions from commuting were calculated and analysed using a linear regression model. Results show the effects of different variables, such as the share of teleworking within a working week, the regular workplace location, and attitudes towards individual mobility and former relocation behaviour. An increase in teleworking of 10 per cent based on weekly working time leads to a reduction of approximately 60 kg of GHG (8 per cent) emissions a year. Our results serve as baseline key data to analyse upcoming (temporary) interventions (for example, new coworking spaces within our living lab). Hints for rebound effects, limitations of our study and future interventions are discussed.
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