Doiron Dany, Setton Eleanor M, Shairsingh Kerolyn, Brauer Michael, Hystad Perry, Ross Nancy A, Brook Jeffrey R
Respiratory Epidemiology and Clinical Research Unit, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Geography Department, University of Victoria, Victoria, British Columbia, Canada.
Environ Int. 2020 Oct;143:106003. doi: 10.1016/j.envint.2020.106003. Epub 2020 Jul 30.
Various aspects of the urban environment and neighbourhood socio-economic status interact with each other to affect health. Few studies to date have quantitatively assessed intersections of multiple urban environmental factors and their distribution across levels of deprivation.
To explore the spatial patterns of urban environmental exposures within three large Canadian cities, assess how exposures are distributed across socio-economic deprivation gradients, and identify clusters of favourable or unfavourable environmental characteristics.
We indexed nationally standardized estimates of active living friendliness (i.e. "walkability"), NO air pollution, and greenness to 6-digit postal codes within the cities of Toronto, Montreal and Vancouver. We compared the distribution of within-city exposure tertiles across quintiles of material deprivation. Tertiles of each exposure were then overlaid with each other in order to identify potentially favorable (high walkability, low NO, high greenness) and unfavorable (low walkability, high NO, and low greenness) environments.
In all three cities, high walkability was more common in least deprived areas and less prevalent in highly deprived areas. We also generally saw a greater prevalence of postal codes with high vegetation indices and low NO in areas with low deprivation, and a lower greenness prevalence and higher NO concentrations in highly deprived areas, suggesting environmental inequity is occurring. Our study showed that relatively few postal codes were simultaneously characterized by desirable or undesirable walkability, NOand greenness tertiles.
Spatial analyses of multiple standardized urban environmental factors such as the ones presented in this manuscript can help refine municipal investments and policy priorities. This study illustrates a methodology to prioritize areas for interventions that increase active living and exposure to urban vegetation, as well as lower air pollution. Our results also highlight the importance of considering the intersections between the built environment and socio-economic status in city planning and urban public health decision-making.
城市环境的各个方面与社区社会经济地位相互作用,影响健康。迄今为止,很少有研究对多种城市环境因素的交叉点及其在贫困水平上的分布进行定量评估。
探讨加拿大三个大城市内城市环境暴露的空间模式,评估暴露在社会经济剥夺梯度上的分布情况,并识别有利或不利环境特征的集群。
我们将积极生活友好度(即“可步行性”)、氮氧化物空气污染和绿化程度的全国标准化估计值与多伦多、蒙特利尔和温哥华市的6位邮政编码进行匹配。我们比较了城市内暴露三分位数在物质剥夺五分位数中的分布情况。然后将每种暴露的三分位数相互叠加,以识别潜在有利(高可步行性、低氮氧化物、高绿化程度)和不利(低可步行性、高氮氧化物、低绿化程度)的环境。
在所有三个城市中,高可步行性在最不贫困地区更为常见,在高度贫困地区则不太普遍。我们还普遍发现,植被指数高且氮氧化物含量低的邮政编码在贫困程度低的地区更为普遍,而在高度贫困地区,绿化程度较低且氮氧化物浓度较高,这表明环境不平等正在发生。我们的研究表明,相对较少的邮政编码同时具有理想或不理想的可步行性、氮氧化物和绿化程度三分位数特征。
对本文中提出的多种标准化城市环境因素进行空间分析,有助于优化市政投资和政策重点。本研究说明了一种方法,可确定干预区域的优先次序,以增加积极生活和城市植被暴露,并降低空气污染。我们的结果还强调了在城市规划和城市公共卫生决策中考虑建筑环境与社会经济地位之间交叉点的重要性。