2019冠状病毒病大流行与社区复原力:印度古鲁格拉姆封闭式和非封闭式社区研究

IF 6.6 1区 经济学 Q1 URBAN STUDIES
Sumedha Yadav
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引用次数: 0

摘要

2019冠状病毒病大流行对国际社会运作造成的破坏使其成为一场全球性灾难,有必要加强社区应对危机的复原能力。该研究采用了以社区为基础的方法,重点关注居住社区,这些社区是第一个经历和应对灾害的社区。通过问卷调查对180户封闭式和非封闭式住宅社区的家庭进行了评估。已考虑将地区行政当局确定为隔离区的住宅社区纳入研究范围。基于响应进行主成分分析,证明五个因素解释了67.41%的方差。这些因素分别为领导力、准备、地方依恋、社会信任和集体效能,与基于感知的社区恢复力评估量表CCRAM(联合社区恢复力评估量表)的社区恢复力维度一致。通过计算门控和非门控社区考虑的每个维度的平均感知得分,对两种社区类型进行比较。研究结果表明,两种社区类型在弹性感知上存在显著差异。进一步研究了促进积极弹性感知的因素。基于感知的反应用于计算社区恢复力得分,并进行回归分析以评估社会人口和经济变量的影响。研究结果表明,居住时间、最高教育水平和家庭年收入对社区恢复力有正向影响。该研究强调了通过支持促进社会凝聚力和集体行动的举措,加强基层网络在增强韧性方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 pandemic and community resilience: Study of gated and non-gated communities of Gurugram, India
The disruption caused by the COVID-19 pandemic in the functioning of the global community has made it a global disaster, necessitating strengthening communities' resilience capacities to respond to the crisis. The study adopts a neighborhood-based approach, focusing on residential communities, which are the first to experience and respond to disasters. A questionnaire survey of 180 households in gated and non-gated residential communities was conducted to assess their perceptions of resilience. The residential communities identified as containment zones by the district administration have been considered for the study. A principal component analysis was performed based on responses, demonstrating five factors explaining 67.41 % of the variance. The factors are characterized as leadership, preparedness, place attachment, social trust, and collective efficacy, which align with the dimensions of community resilience as per CCRAM (Conjoint Community Resilience Assessment Measure), a perception-based resilience assessment measure. A comparison between the two community types is made by calculating a mean perception score for each dimension considered for both Gated and Non-Gated Communities. The findings reveal a significant difference in resilience perception between the two community types. The factors contributing to positive resilience perceptions are further examined. Perception-based responses are used to compute community resilience scores, and regression analysis is performed to assess the influence of socio-demographic and economic variables. The findings indicate that community resilience is positively influenced by the duration of residence, the highest level of education, and annual family income from all sources. The study highlights the importance of strengthening grassroots networks in fostering resilience by supporting initiatives that promote social cohesion and collective actions.
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来源期刊
Cities
Cities URBAN STUDIES-
CiteScore
11.20
自引率
9.00%
发文量
517
期刊介绍: Cities offers a comprehensive range of articles on all aspects of urban policy. It provides an international and interdisciplinary platform for the exchange of ideas and information between urban planners and policy makers from national and local government, non-government organizations, academia and consultancy. The primary aims of the journal are to analyse and assess past and present urban development and management as a reflection of effective, ineffective and non-existent planning policies; and the promotion of the implementation of appropriate urban policies in both the developed and the developing world.
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