当前位置: X-MOL 学术Sustain. Cities Soc. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Environmental justice and surface temperature: Income, ethnic, gender, and age inequalities
Sustainable Cities and Society ( IF 10.5 ) Pub Date : 2021-02-25 , DOI: 10.1016/j.scs.2021.102810
Bardia Mashhoodi

Severe land surface temperature (LST) significantly impacts residents' thermal discomfort and can be life-threatening during warm seasons. Therefore, it is essential to identify the inequalities in LST exposure, i.e. the socioeconomic groups who are over- or underexposed to LST. There is a knowledge gap in the literature: there is no previous study which differentiates between national-scale inequalities -i.e. inequalities apparent in all location of a country, and the local-scale inequalities -i.e. inequalities existing in some areas of a country. Employing a semi-parametric geographically weighted regression model to study LST in Dutch residential zones in the summer of 2014, the results of this study show that two national-scale inequalities are significant: overexposure of high-income groups and underexposure of the owners of high-value properties. Additionally, eight local-scale inequalities are identified. Among the latter, ethnic inequalities, overexposure of Non-western and Western immigrants, found to be the most severe and frequent at the local scale. Additionally, females are often the second most overexposed to LST at the local-scale. To a lesser degree Rental dwellings and Population age 15−24 are the second most overexposed of a zone's population. In the end, the results and policy implications are discussed.



中文翻译:

环境正义与地表温度:收入,种族,性别和年龄不平等

严重的地表温度(LST)严重影响居民的热不适,在温暖的季节可能危及生命。因此,必须确定LST暴露的不平等性,即LST暴露过度或暴露不足的社会经济群体。文献中存在知识鸿沟:没有以前的研究可以区分国家规模的不平等(即在一个国家的所有地区都明显存在的不平等)和地方规模的不平等(即在一个国家的某些地区存在的不平等)。使用半参数地理加权回归模型来研究2014年夏季荷兰居住区的LST,这项研究的结果表明,两个全国范围的不平等现象很明显:高收入人群的过度曝光和高价值物业的所有者的曝光不足。此外,确定了八个地方尺度的不平等。在后者中,种族不平等现象(非西方和西方移民的过度暴露)在当地范围内最为严重和频繁。此外,在当地范围内,女性经常是LST暴露量第二高的人。在较小程度上,出租住房和15-24岁人口是该地区人口第二大暴露过度的地区。最后,讨论了结果和政策含义。在当地,女性经常是LST暴露量第二多的人。在较小程度上,出租住房和15-24岁人口是该地区人口第二大暴露过度的地区。最后,讨论了结果和政策含义。在当地,女性经常是LST暴露量第二多的人。在较小程度上,出租住房和15-24岁人口是该地区人口第二大暴露过度的地区。最后,讨论了结果和政策含义。

更新日期:2021-03-02
down
wechat
bug