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Targeting energy justice: Exploring spatial, racial/ethnic and socioeconomic disparities in urban residential heating energy efficiency

机译:以能源正义为目标:探索城市住宅采暖能源效率中的空间,种族/种族和社会经济差异

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Fuel poverty, the inability of households to afford adequate energy services, such as heating, is a major energy justice concern. Increasing residential energy efficiency is a strategic fuel poverty intervention. However, the absence of easily accessible household energy data impedes effective targeting of energy efficiency programs. This paper uses publicly available data, bottom-up modeling and small-area estimation techniques to predict the mean census block group residential heating energy use intensity (EUI), an energy efficiency proxy, in Kansas City, Missouri. Results mapped using geographic information systems (GIS) and statistical analysis, show disparities in the relationship between heating EUI and spatial, racial/ethnic, and socioeconomic block group characteristics. Block groups with lower median incomes, a greater percentage of households below poverty, a greater percentage of racial/ethnic minority headed-households, and a larger percentage of adults with less than a high school education were, on average, less energy efficient (higher EUIs). Results also imply that racial segregation, which continues to influence urban housing choices, exposes Black and Hispanic households to increased fuel poverty vulnerability. Lastly, the spatial concentration and demographics of vulnerable block groups suggest proactive, area- and community-based targeting of energy efficiency assistance programs may be more effective than existing self-referral approaches. (C) 2016 Elsevier Ltd. All rights reserved.
机译:能源匮乏,家庭无法负担得起供暖等充足的能源服务是能源正义的主要关切。提高住宅能源效率是一项战略性的燃料贫乏干预措施。然而,缺乏容易获得的家庭能源数据阻碍了能源效率计划的有效目标。本文使用公开可用的数据,自下而上的建模和小面积估计技术来预测密苏里州堪萨斯城的平均人口普查小组住宅供热能源使用强度(EUI),这是一种能效代理。使用地理信息系统(GIS)进行映射和统计分析得出的结果表明,供暖EUI与空间,种族/民族和社会经济街区特征之间的关系存在差异。平均而言,收入中位数较低,贫困家庭的比例较高,种族/族裔少数族裔家庭的比例较高,受过高中教育程度以上的成年人的比例较高的能源平均效率较低(较高EUI)。结果还表明,种族隔离继续影响着城市住房的选择,使黑人和西班牙裔家庭更加容易陷入燃料贫困的境地。最后,脆弱人群的空间集中度和人口统计数据表明,主动,以区域和社区为基础的能效援助计划目标可能比现有的自我推荐方法更为有效。 (C)2016 Elsevier Ltd.保留所有权利。

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