模糊的PROMETHEE模型用于公共交通方式选择分析.
Laila Oubahman1, Szabolcs Duleba1,2
1Department of Transport Technology and Economics, Faculty of Transportation and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, 1111 Hungary.
概括
本研究引入了公共交通方式选择的综合模型,结合了主观和客观措施. 新方法通过结合模糊逻辑和群体偏好范围来提高准确性,支持更好的运输决策.
科学领域:
- 运输科学 运输科学
- 决策科学 决策科学 决策科学
- 运营研究 运营研究
背景情况:
- 公共交通服务质量对于了解乘客偏好至关重要.
- 现有的方法通常仅依赖于主观评分,限制准确性.
- 需要整合客观和主观措施的模型来进行模式选择分析.
研究的目的:
- 开发公共交通方式选择的综合模型.
- 将客观乘客偏好与距离和时间等客观指标相结合.
- 通过包括偏好范围来完善模式选择分析中的组考虑.
主要方法:
- 使用偏好排名组织的丰富评估方法 (PROMETHEE) 进行有形和无形的标准评估.
- 集成的模糊理论来处理模糊的响应,并减少得分不确定性.
- 使用交互式辅助图形分析 (GAIA) 进行属性交互可视化和灵敏度分析.
主要成果:
- 开发了一种集成方法,它不如传统模型主观.
- 纳入的集团偏好范围与精细分析的平均值并行.
- 通过布达佩斯的一个案例研究证明了该模型的效率,支持地下服务质量.
结论:
- 拟议的模型为选择公共交通方式提供了一种更强大,更不主观的方法.
- 模糊逻辑和群体偏好范围的整合增强了对乘客行为的分析.
- 该方法为模糊推理系统提供了坚实的基础,以帮助乘客在动态环境中选择模式.
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