基础设施作为环境卫生政策:从清洁校车计划的挑战和创新中吸取教训
Uchenna Osia1, Bethany B Cutts1,2, Kristi Pullen Fedinick3
1Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA.
概括
清洁校车折扣计划 (CSBRP) 旨在提供公平的资金,但不一致的规则和界限影响了其影响. 但对于公平性而言,
科学领域:
- 环境政策
- 地理空间分析
- 公共管理
背景情况:
- 2022年清洁校车折扣计划 (CSBRP) 旨在分配环境资金.
- 了解资格规则和数据实践对资金分配的影响至关重要.
研究的目的:
- 评估2022年CSBRP的推出,以评估资格标准和数据实践如何影响资金分配.
- 确定改进的绘图准确性是否可以提高环境融资成果,或者机构定义的标准是否是主要挑战.
主要方法:
- 后勤回归分析模型的资金分配.
- 用于资金分配的地理空间分析的对称映射.
- 基于不同资格情况的资助结果的比较.
主要成果:
- 优先考虑的标准成功地将资金用于服务不足的社区.
- 校区边界的使用造成了不一致,影响了课程的覆盖范围.
- 包括特许学校作为独立申请者增加了竞争,有时从公共系统转移资金.
结论:
- 精确的地理空间方法可以改善资源定位,减少环境资金中的目标结果不匹配.
- 机构的裁量权和行政规则对资金分配的公平性有很大影响.
- 解决资格标准和行政流程的不一致性对于公平的项目成果至关重要.
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