UNASSIGNED:本S-LCA案例研究的主要目的是分析移动服务使用阶段的社会影响,考虑到正面和负面影响。使用阶段对服务的评估起着重要作用,这就是为什么这项研究只关注使用阶段评估。那边,这项研究旨在帮助回答一个问题,即移动服务是否可以提高城市生活质量。
未经评估:对于分析,在柏林市选择了七种不同的出行方式,德国,包括自由浮动汽车共享,电动滑板车共享,S-Bahn,地铁,电车,公共汽车和私人拥有的汽车。为了分析,考虑了S-LCA指南(UNEP2020)中概述的五个利益相关者群体:地方社区,消费者,工人,价值链参与者和社会。对于所有相关方面的详细分析,分析了37项指标,其中23个是定量的,14个是定性的。对于数据收集,使用了几个不同的数据源,包括公开可用的数据,例如统计数据以及来自访谈的数据。
未经评估:为了可比性,所有结果均以-2至+2的5分制显示,符合手册(Goedkoop等人。2018年)和S-LCA指南(UNEP2020)。对于一些指标,案例研究的结果与预期一致,例如对空气质量的影响。对于其他指标,然而,结果是特定于柏林分析的移动服务,因此提供了新的见解并揭示了新的方面,例如,在为当地社区创造就业机会的情况下。本S-LCA案例研究的主要挑战是数据可用性和数据质量,这就是为什么必须做出假设和简化,特别是关于空间占用和公共基础设施的分配。
UNASSIGNED:本S-LCA案例研究对移动服务的使用阶段进行了全面评估,考虑到五个利益相关者类别及其各自的社会影响。这项研究说明了柏林市的具体结果,显示流动服务的积极和消极社会影响,并概述了进一步研究的程序。那边,这个案例研究有助于回答交通服务是否可以提高城市生活质量的问题。
UNASSIGNED:在线版本包含补充材料,可在10.1007/s11367-022-02051-y获得。
UNASSIGNED: The main purpose of this S-LCA case study is to analyse social impacts of the use phase of mobility services is a holistic way, taking into account positive as well as negative impacts. The use phase plays an important role for the assessment of services, which is why this study exclusively focuses on the use phase assessment. That way, this study aims to contribute to answer the question whether mobility services can improve quality of life in cities.
UNASSIGNED: For the analysis, seven different mobility options were chosen in the city of Berlin, Germany, including free-floating car sharing, e-scooter sharing, S-Bahn, subway, tram, bus and the car in private ownership. For the analysis, five stakeholder groups that are outlined in the S-LCA Guidelines (UNEP 2020) were taken into account: Local Community, Consumer, Worker, Value Chain Actors and Society. For a detailed analysis of all relevant aspects, 37 indicators were analysed, out of which 23 are quantitative and 14 are qualitative. For data collection, several different data sources were used, including publicly available data e.g. from statistics as well as own data from interviews.
UNASSIGNED: For comparability, all results are displayed on a 5-point scale from - 2 to + 2, in line with the Handbook (Goedkoop et al. 2018) and the S-LCA Guidelines (UNEP 2020). For some indicators, the results of the case study are as expected, for example regarding impacts on air quality. For other indicators, however, the results are specific for the analysed mobility services in Berlin and therefore give new insights and reveal new aspects, as for example in the case of job creation for the local community. The main challenge of this S-LCA case study was data availability and data quality, which is why assumptions and simplifications had to be made, especially regarding space occupancy and the allocation of common infrastructure.
UNASSIGNED: This S-LCA case study provides a holistic assessment of the use phase of mobility services, taking into account five stakeholder categories and their respective social impacts. The study illustrates specific results for the city of Berlin, showing positive as well as negative social impacts of mobility services and outlines a procedure for further studies. That way, this case study contributes to answer the overlying question whether mobility services can improve quality of life in cities.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s11367-022-02051-y.