Connecting the dots between urban infrastructure, well-being, livability, and equity: a data-driven approach

Kirti V. Das, A. Ramaswami, Yingling Fan, Jason Cao
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引用次数: 2

Abstract

Developing sustainable, livable and equitable cities is a major policy goal. However, livability metrics are amorphous, emphasizing different dimensions. This paper develops a novel data-driven approach by directly surveying subjective well-being (SWB) of urban residents, alongside satisfaction with key social–ecological–infrastructural–urban correlates to inform livability and equity priorities. Our survey is novel in quantifying SWB (Cantril ladder) of urban residents and evaluating both household- and neighborhood-level correlates while addressing confounding effects of socio-demographics and personality. We propose a three-way typology of provisioning systems—foundational, consistently important and added-bonus—based on their quantitative relationship with SWB. Implemented in the Twin-Cities USA, among 21 attributes, home heating-cooling, neighborhood greenery, access to public transportation and snow removal emerged as foundational in cold Minnesota climates; home size was consistently important and satisfaction with streets an added-bonus. Assessing inequality in foundational and consistently important categories revealed disparities by income and race, informing local infrastructure priorities for livability and equity. Key insights emerged on sufficiency and sustainability.
连接城市基础设施、福祉、宜居性和公平之间的点:数据驱动的方法
发展可持续、宜居和公平的城市是一项重要的政策目标。然而,宜居性指标是无定形的,强调不同的维度。本文开发了一种新颖的数据驱动方法,通过直接调查城市居民的主观幸福感(SWB),以及对关键的社会-生态-基础设施-城市相关因素的满意度,为宜居性和公平优先事项提供信息。我们的调查在量化城市居民的主观幸福感(中心阶梯)和评估家庭和社区层面的相关性方面是新颖的,同时解决了社会人口统计学和个性的混淆效应。基于供给系统与主观幸福感的定量关系,我们提出了供给系统的三种类型——基础型、持续重要型和附加奖励型。在美国双城实施,在21个属性中,家庭供暖制冷,社区绿化,公共交通和除雪成为明尼苏达州寒冷气候的基础;房子的大小一直很重要,对街道的满意度是额外的奖励。评估基础和一贯重要类别的不平等揭示了收入和种族的差异,为当地基础设施的宜居性和公平性提供了信息。在充足性和可持续性方面产生了重要见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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