The assessment of cities’ livability integrating human wellbeing and environmental impact

The assessment of cities’ livability integrating human wellbeing and environmental impact
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DOI:
10.1007/s10479-014-1666-7
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发表时间:
2014-08
影响因子:
4.8
通讯作者:
A. Zanella;A. Camanho;T. G. Dias
A. Zanella;A. Camanho;T. G. Dias
中科院分区:
管理学3区
文献类型:
--
作者:
A. Zanella;A. Camanho;T. G. Dias

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这项研究开发了一种工具来评估欧洲城市的宜居性,涵盖宜居性的两个组成部分:人类福祉和环境影响。首先,我们提出了一个概念模型来评估城市的宜居性,扩展了城市宜居性的概念,包括与环境可持续性有关的组成部分。第二,我们讨论城市宜居性的衡量。为此,根据使用方向距离函数指定的数据分析模型,构建了一个新的综合指标。除了为每个城市分配一个概括的绩效衡量标准外,综合指标还可用于指导不同宜居性目标的改进。所提出的模型的创新特征之一是,通过指定不同的方向向量,能够分别关注宜居性的每个组成部分(例如,人类福祉和环境影响),或者同时考虑城市改善所有指标的潜力。此外,还可以纳入一种新的权重限制类型,称为第一类保证区域,以百分比形式反映理想和不理想输出的相对重要性。最后,本文探讨了使用Luenberger生产力指标评估城市绩效随时间的演变。
This study develops a tool to assess livability in European cities covering two components of livability: human wellbeing and environmental impact. First, we propose a conceptual model to assess cities’ livability, that extends the concept of urban livability to include a component related to environmental sustainability. Second, we address the measurement of cities’ livability. For this purpose, a new composite indicator was constructed based on a data envelopment analysis model specified using a directional distance function. In addition to assigning a summary measure of performance for each city, the composite indicator can be used to guide improvements concerning different livability objectives. One of the innovative features of the model proposed is to enable, by the specification of different directional vectors, focusing separately on each component of livability (e.g., human wellbeing and environmental impact) or alternatively considering cities’ potential for improvement in all indicators simultaneously. In addition, it is possible to incorporate a new type of weight restrictions, specified as assurance regions type I, that reflect the relative importance of both desirable and undesirable outputs in percentage terms. Finally, this paper approached the assessment of the evolution of cities’ performance over time using the Luenberger productivity indicator.