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Integrated and Sustainable Benchmarking of Metro Rail System Using Analytic Hierarchy Process and Fuzzy Logic: A Case Study of Mumbai
Urban Rail Transit ( IF 1.7 ) Pub Date : 2019-09-24 , DOI: 10.1007/s40864-019-00107-1
Pradeep Chaitanya Jasti , V. Vinayaka Ram

Intra-city mobility affects the well-being of city dwellers and the quality of urban life. A highly sophisticated and sustainable mass rapid transit system is key to facilitating such mobility. Metro Rail is one such successful system suitable for Indian conditions. A network of around 425 km is under operation and about 700 km is under fast track implementation in various cities (MoHUA in Annual report 2017–2018, Government of India, 2018). On the other hand, Metro Rail is an expensive form of urban transport, so any non-viability can leave the public transit agencies and the government in huge debt towards repaying the loans with which the system has been funded. In this context, achieving viability and long-term sustainability becomes mandatory for metro systems; such viability can be achieved by thorough performance assessment and benchmarking of the system in conventional and sustainable dimensions. Though institutionalization of benchmarking is practiced globally, few such efforts have been attempted in India. This study attempts to develop a mode-specific benchmarking framework for metro systems, structuring nine performance indicators (criteria) and 34 evaluators (sub-criteria) with a case study of Mumbai. Multi-criteria decision making techniques such as the analytic hierarchy process and direct weighting are engaged to incorporate a priority-based weighting system into the benchmarking framework. As the performance is benchmarked against set targets (absolute benchmarking), vagueness associated with the scaling/ranking is addressed through the fuzzy logic approach. Finally, the rate of performance of the Mumbai Metro Rail system is determined as 75% with acceptable results in the service, quality and societal sectors, though much improvement is needed in the sector of multimodal integration.

中文翻译:

层次分析法与模糊逻辑相结合的地铁轨道交通可持续综合标杆-以孟买为例

城市内的流动性影响着城市居民的福祉和城市生活质量。高度复杂和可持续的大众捷运系统是促进这种机动性的关键。Metro Rail是一种适合印度条件的成功系统。约425公里的网络正在运行,约700公里的网络正在各个城市快速实施(MoHUA在2017-2018年度报告中,印度政府,2018年)。另一方面,地铁是城市交通的一种昂贵形式,因此,任何不可行的做法都会使公共交通部门和政府背负巨额债务来偿还已为该系统提供资金的贷款。在这种情况下,对于地铁系统而言,实现生存能力和长期可持续性成为强制性要求;通过在常规和可持续的维度上对系统进行全面的性能评估和基准测试,可以实现这种可行性。尽管全球都在实行基准化制度化,但在印度却很少尝试这种努力。这项研究试图为地铁系统开发特定于模式的基准框架,并以孟买为例,构建九个绩效指标(标准)和34位评估者(子标准)。诸如分析层次过程和直接加权之类的多准则决策技术已被采用,以将基于优先级的加权系统整合到基准框架中。当根据设定的目标对性能进行基准测试(绝对基准测试)时,通过模糊逻辑方法可以解决与缩放/排名相关的模糊性。最后,
更新日期:2019-09-24
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