运用模糊层次分析法和模糊TOPSIS法对印度的燃油客车技术进行综合评价

IF 0.7 Q4 TRANSPORTATION European Transport-Trasporti Europei Pub Date : 2023-03-01 DOI:10.48295/et.2023.92.6
Aditya Saxena
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引用次数: 0

摘要

根据世界卫生组织的数据,印度的交通运输部门占其二氧化碳排放量的11%。以可持续能源为基础的公交系统在印度是必要的。然而,资本成本、加油基础设施等因素也很重要,因为大多数国家道路运输企业(srtu)都在严重亏损的情况下运营。本研究通过对电动公交车、氢燃料电池公交车、压缩天然气(CNG)公交车和传统柴油公交车的比较分析,评估了印度环境下最有效的基于燃料的公交车运输系统。运用模糊层次分析法和模糊TOPSIS工具,采用多准则决策方法。研究发现,电动公交车是最佳选择,而利益相关者对噪音水平的重视程度较低,并将购买公交车的初始成本、尾气排放和运营成本作为主要决定参数。研究结果可能有助于国家和州级决策机构规划未来的可持续公交系统。
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Evaluating the appropriate fuel-based bus technology in Indian context by integrating Fuzzy AHP-Fuzzy TOPSIS
According to WHO, India's transportation sector accounts for 11% of its CO2 emissions. Sustainable energy-based bus transportation systems are a necessity in Indian context. However, factors like capital cost, refueling infrastructure, etc. are also important as most State Road Transport Undertakings (SRTUs) are operating in severe losses. This study evaluates the most effective fuel-based bus transport system in the Indian context through the comparative analysis of electric buses, hydrogen fuel cell buses, compressed natural gas (CNG) buses, and conventional diesel buses. Multiple criteria decision making (MCDM) approach was employed through the use of Fuzzy AHP-Fuzzy TOPSIS tool. Electric buses were found to be the best alternative, and the stakeholders placed less importance on noise levels and rated the initial cost of buying a bus, tailpipe emissions, and operating costs as major determining parameters. The findings may help national and state-level decision-making agencies in planning for the future sustainable bus systems.
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2.30
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0.00%
发文量
19
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