Bijari Nikta Bahman, Mahdinia Mohammad Hadi, Mansouri Daneshvar Mohammad Reza
Department of Urban Planning and Design, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Department of Art and Architecture, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Environ Dev Sustain. 2021;23(12):17964-17985. doi: 10.1007/s10668-021-01423-y. Epub 2021 Apr 16.
The main objective of this research was to disclose the correlative contribution of urban-associated factors affecting the COVID-19 outbreak in the macro-scale of MECA countries and the downscaled micro-scale of the provincial divisions in Iran. For this purpose, the correlation coefficients between the variables and clustering analysis were used to expose the possible effects. Results revealed the comparatively strong relationships between some independent variables (e.g., total greenhouse gas emissions, CO emissions, nitrous oxide emissions, and urban population) and confirmed cases (R from 0.619 to 0.695), demonstrating the possible effective role of urbanization and its induced GHG emissions on the COVID-19 outbreak in the country level of the MECA region. Therefore, the results significantly confirmed the strong relationships between some independent variables (e.g., total population, urban population, fuel consumption, NO-CO emissions, energy use, and total intra-changed travels) and confirmed cases (R from 0.724 to 0.945), explaining an explicit relationship between urbanization processes and the COVID-19 outbreak in Iran. Besides, the HCA results revealed the substantial role of the urban population and urban-induced energy use and gas emission in clustering locations regarding the COVID-19 outbreak in both the MECA region and Iran. The main implication of this research is to give a practical correlation between Coronavirus infection and urban constitution, aiming to increase the health of urban societies by creating effective planning in the future.
本研究的主要目的是揭示城市相关因素在中东和中亚(MECA)国家宏观层面以及伊朗省级行政区微观层面上对新冠疫情爆发的相关贡献。为此,利用变量之间的相关系数和聚类分析来揭示可能的影响。结果显示,一些自变量(如温室气体排放总量、一氧化碳排放、氧化亚氮排放和城市人口)与确诊病例之间存在较强的相关性(相关系数R从0.619到0.695),表明城市化及其导致的温室气体排放在MECA地区国家层面的新冠疫情爆发中可能起到了有效作用。因此,结果显著证实了一些自变量(如总人口、城市人口、燃料消耗、氮氧化物 - 一氧化碳排放、能源使用和总内部出行量)与确诊病例之间存在很强的相关性(相关系数R从0.724到0.945),这解释了伊朗城市化进程与新冠疫情爆发之间存在明确的关系。此外,聚类分析(HCA)结果显示,城市人口以及城市化导致的能源使用和气体排放在MECA地区和伊朗新冠疫情爆发的聚类位置方面发挥了重要作用。本研究的主要意义在于揭示冠状病毒感染与城市构成之间的实际关联,旨在通过未来制定有效的规划来增进城市社会的健康。