一个决策支持框架来评估城市公路运输的可持续性表现
Ardavan Babaei1, Majid Khedmati1, Mohammad Reza Akbari Jokar2
1Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran.
Environmental science and pollution research international
|December 22, 2023
概括
本研究介绍了使用数据包裹分析 (DEA) 评估城市公路运输可持续性的决策支持框架. 这些模型揭示了各国具体的效率和生产率变化,有助于运输部门的决策.
科学领域:
- 运营研究 运营研究
- 运输科学 运输科学
- 环境管理环境管理
背景情况:
- 城市道路运输的可持续性绩效管理对于环境和经济福祉至关重要.
- 现有的评估方法可能无法充分捕捉运输系统中的时间动态和不确定性.
- 数据包围分析 (DEA) 为绩效评估提供了一个强大的框架.
研究的目的:
- 提出一个决策支持框架 (DSF) 来评估城市公路运输系统的可持续性性能.
- 开发和比较两个DEA模型:一个独立分析年份,另一个整合所有年份.
- 通过修订的多选择目标编程 (GP) 方法,解决多目标编程环境中的不确定性.
主要方法:
- 开发两个DEA模型:独立年度的标准模型和集成年度的网络模型.
- 应用一个包含两种类型的不确定性的多目标编程模型.
- 使用修订后的多选项目标编程 (GP) 方法来解决DEA模型.
- 基于欧洲主要国家的数据进行评估,考虑货物/客运,排放,能源消耗和道路交通事故.
主要成果:
- 效率得分根据确定性/不确定性条件和所选择的DEA模型结构而有所不同.
- 效率的变化并不总是等同于生产率的变化随着时间的推移.
- 提出的模型显示了高的解释性 (高达99.6%),这表明了利益相关者的可靠性.
- 关于生产率变化,国家性,基准测试和改进模式的管理见解得到了推导.
结论:
- 开发的DSF提供了一个可靠的工具,用于评估和管理城市道路运输的可持续性表现.
- 综合网络DEA模型通过考虑时间的相互依赖,提供了更全面的评估.
- 这些发现支持基于证据的决策,以提高运输系统的效率和可持续性.
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