当前位置: X-MOL 学术Transp. Res. Part D Transp. Environ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Equitable resource allocation for municipal safety: A data envelopment analysis
Transportation Research Part D: Transport and Environment ( IF 7.6 ) Pub Date : 2021-06-11 , DOI: 10.1016/j.trd.2021.102926
Alyssa Ryan , Camille Barchers , Eleni Christofa , Michael Knodler

To improve local roadway safety, the diverse nature of municipalities must be considered given their differing needs associated with their unique population characteristics and physical environments. Yet, these differences are not accounted for in the current funding frameworks that support local highway departments. This paper explores the factors that impede the ability of municipalities to efficiently and equitably distribute highway funding to improve local road safety. Data envelopment analysis is conducted by fusing municipal highway staff data, municipal highway expenditure data, crash data, geographic data, and demographic data. Among other findings, this study concludes that non-white and rural regions require more financial support to equitably improve safety. Further, data envelopment analysis is demonstrated to be a beneficial method to consider equity disparities at a local level. The results suggest where local highway resources should be invested to efficiently and equitably improve local roadway safety.



中文翻译:

市政安全的公平资源分配:数据包络分析

为了提高当地的道路安全,必须考虑城市的多样性,因为它们的不同需求与其独特的人口特征和物理环境相关。然而,目前支持地方公路部门的资金框架并未考虑这些差异。本文探讨了阻碍市政当局有效公平地分配公路资金以改善当地道路安全的能力的因素。通过融合市政公路工作人员数据、市政公路支出数据、碰撞数据、地理数据和人口统计数据进行数据包络分析。除其他发现外,本研究得出的结论是,非白人和农村地区需要更多的财政支持才能公平地提高安全性。更多,数据包络分析被证明是一种在地方层面考虑公平差异的有益方法。结果表明,应在何处投资当地公路资源,以有效且公平地改善当地公路安全。

更新日期:2021-06-11
down
wechat
bug