five

Regression analysis.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Regression_analysis_/29257634
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资源简介:
Utilizing the Push and Pull theory, this study examines the impact of socio-economic disparities and natural disasters on migration and urbanization. With a global significance, the shift of population from rural to urban areas carries profound implications for societies and economies. In the specific context of Pakistan, the research delves into the driving forces behind the rapid urbanization in Karachi and Quetta. Employing a mixed-methods approach, combining quantitative data and qualitative Geographic Information System (GIS) analysis, the study surveyed 1120 migrants. Results indicate a significant positive correlation between socio-economic disparities, natural disasters, and migration, highlighting the interplay of rural push factors and urban pull factors. GIS and satellite images reveal noticeable expansion in covered areas in both cities. The study underscores the importance of effective disaster management and resilient infrastructure to mitigate the impact of natural disasters on migration and urbanization. The findings offer valuable insights for policymakers and academics, discussed in the later sections of the study.

本研究借助推拉理论(Push and Pull theory),探讨了社会经济差距与自然灾害对人口迁移及城市化的影响。人口从乡村向城市的迁移具有全球意义,其对社会与经济均存在深远影响。以巴基斯坦为特定研究场景,本研究深入剖析了卡拉奇与奎达两地快速城市化背后的驱动因素。本研究采用混合研究方法,结合定量数据与定性地理信息系统(GIS)分析,共调研了1120名移民。研究结果显示,社会经济差距、自然灾害与人口迁移之间存在显著正相关关系,凸显了乡村推力因素与城市拉力因素的交互作用。地理信息系统与卫星影像分析表明,两座城市的覆盖区域均呈现明显扩张态势。本研究强调,需通过高效的灾害管理与韧性基础设施建设,以缓解自然灾害对人口迁移与城市化的冲击。本研究结果可为政策制定者与学术研究者提供极具价值的参考见解,相关讨论将在本文后续章节中展开。
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2025-06-06
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