美国宾夕法尼亚州大匹兹堡地区历史煤矿开采对社会经济和人口影响的地理空间分析

IF 1.1 Q3 DEMOGRAPHY
Lauren Bram, Bethany Klemetsrud, Gregory Vandeberg
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引用次数: 0

摘要

我们开发了一个地理空间模型,通过整合房屋销售数据、废弃矿山土地 (AML) 清单 "问题区域 "地点和人口普查人口信息,对宾夕法尼亚州大匹兹堡地区煤矿开采的社会经济影响进行了统计评估。结果表明,位于问题区域内的房屋售价比这些区域外的房屋平均低 28%(5.86 万美元)。人口统计数据显示,阿勒格尼县采矿问题区域内的人口分布存在明显差异,从统计上看,该区域的黑人人口较多。这一趋势在城市地区更为明显。研究还发现,受过去采矿活动影响的地区,未受过正规中学后教育的人口比例较高。建立了逻辑回归模型,以分析评估预测变量(特别是房屋销售价格和社区需求指数)与位于采矿问题地区的概率之间的关系。房屋销售分析表明,房屋销售价格与居住在受采矿影响地区的可能性之间存在负相关关系,这意味着价格较低的房产通常位于这些受影响地区。CNI 逻辑回归模型显示,居住在采矿问题区域的可能性与总体较高的社区需求之间存在相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Geospatial Analysis of the Socioeconomic and Demographic Effects of Historic Coal Mining in the Greater Pittsburgh Region, Pennsylvania, USA

Geospatial Analysis of the Socioeconomic and Demographic Effects of Historic Coal Mining in the Greater Pittsburgh Region, Pennsylvania, USA

A geospatial model was developed to statistically assess the socioeconomic effects of coal mining in the greater Pittsburgh, Pennsylvania area by integrating home sale data, abandoned mine lands (AML) inventory “problem area” sites, and census demographic information. Results indicated that homes located within problem areas sold for an average of 28% ($58,600) less than homes outside of these regions. Demographic data revealed a notable disparity in the population distribution within Allegheny County mining problem areas as having a statistically significant larger Black population. This same trend was even more pronounced in urban areas. The study also established that areas influenced by past mining activities had a higher proportion of individuals without formal postsecondary education. Logistic regression models were created to analytically evaluate the relationship between predictor variables, specifically home sale price and Community Needs Index, to the probability of being situated within mining problem areas. The home sale analysis indicated a negative correlation between sale prices and the likelihood of residing in a mining-affected zone, implying that properties with lower prices are more commonly situated in these impacted areas. The CNI logistic regression model revealed a correlation between the probability of living in a mining problem area and overall higher community needs.

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来源期刊
Spatial Demography
Spatial Demography DEMOGRAPHY-
自引率
0.00%
发文量
12
期刊介绍: Spatial Demography focuses on understanding the spatial and spatiotemporal dimension of demographic processes.  More specifically, the journal is interested in submissions that include the innovative use and adoption of spatial concepts, geospatial data, spatial technologies, and spatial analytic methods that further our understanding of demographic and policy-related related questions. The journal publishes both substantive and methodological papers from across the discipline of demography and its related fields (including economics, geography, sociology, anthropology, environmental science) and in applications ranging from local to global scale. In addition to research articles the journal will consider for publication review essays, book reviews, and reports/reviews on data, software, and instructional resources.
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