2019冠状病毒病大流行期间伊斯坦布尔社区流动性变化:空间分析

A. Arik, G. Cavdaroglu
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引用次数: 1

摘要

COVID-19是最近袭击人类的大流行病。此外,这次大流行发生在全球相互作用和流动性最活跃的时期,不像几个世纪前的霍乱、鼠疫和流感等大流行。许多国家在暂停国际流动后限制了国内流动,以防止大流行蔓延。虽然这些政策因国而异,但它们影响了社区的流动性。本研究考察了影响社区流动模式在不同地点变化的空间和非空间独立变量,包括伊斯坦布尔、土耳其、土耳其的公园、中转站、工作场所、杂货店和药店以及居民区。在确定影响6个不同区域人口流动性变化的非空间自变量的基础上,探讨了独立空间变量对人口流动性变化的影响。确定海拔高度变量,预期影响流动性如何变化,对因变量没有总体影响。另一方面,代表流动性变化的因变量受到代表县中心经纬度值和县是否靠近海洋的自变量的影响。在接下来的研究中,将使用本研究中使用的方法的更新版本对整个 rkiye进行回归分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Istanbul’s Community Mobility Changes During the COVID-19 Pandemic: A Spatial Analysis
COVID-19 was the most recent pandemic to strike humanity. Moreover, this pandemic occurred during the most active period of global interaction and mobility, unlike pandemics like cholera, plague, and flu in earlier centuries. Many countries restricted domestic mobility after suspending international mobility to prevent the pandemic from spreading. Although these policies differ from nation to nation, they have affected the mobility of communities. This study examined spatial and non-spatial independent variables that affected how the community’s mobility patterns changed in various locations, including parks, transit stations, workplaces, grocery and pharmacies, and residential areas in Istanbul, Türkiye. The impact of the independent spatial variables on the mobility changes was examined after identifying the non-spatial independent variables influencing the mobility changes in 6 different areas. It was determined that the altitude variable, expected to impact how mobility changed, had no overall impact on the dependent variable. On the other hand, the dependent variables representing the mobility changes were affected by the independent variables representing the county center’s latitude and longitude values and whether the county is located near the sea. Regression analysis across Türkiye will be performed in upcoming studies using an updated version of the methodology used in this study.
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