Decision-Making Methods in Transport Policy: a Multi-Criteria Approach

A. Karlov
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Abstract

Transport policy includes various aspects of government regulation of transport and related industries. Decision-making in transport policy must consider a wide range of factors and evaluate options for the consequences of adoption of certain decisions based on various criteria, such as cost, environmental impact, and social effects. Two widely used decision-making tools in transport policy are multi-criteria decision analysis (MCDA) and cost-benefit analysis (CBA).The objective of the study was to select decision support methods for transport policy that consider aspects other than monetary or hardly formalised onesAs a practical experiment, the study selected and ranked projects currently considered promising, per as they correspond to a given target using T Saat/s analytic hierarchy process. Several criteria developed within the framework of the study are proposed for the purpose of applied assessment of the pool of projects and their prioritisation.Application of such criteria and AHP allowed to develop a new applied tool for evaluating projects for subsequent use in the system of state administration of the transport industry. The study concludes that although CBA and MCDA methods have their strengths and weaknesses, the choice of method should depend on the specific context of the project. 
交通政策的决策方法:多准则方法
运输政策包括政府对运输和相关行业的各个方面的监管。交通政策的决策必须考虑广泛的因素,并根据各种标准,如成本、环境影响和社会影响,对采取某些决定的后果进行评估。多准则决策分析(MCDA)和成本效益分析(CBA)是交通政策中广泛使用的两种决策工具。该研究的目的是选择交通政策的决策支持方法,考虑货币或几乎形式化的其他方面。作为一项实际实验,该研究选择了目前被认为有前途的项目并对其进行排名,因为它们对应于使用T Saat/s层次分析法的给定目标。提出了在研究框架内制定的若干标准,以便对项目库及其优先次序进行应用评估。这些标准和层次分析法的应用使我们能够开发一种新的实用工具来评价项目,以便以后在运输工业的国家管理系统中使用。研究得出结论,尽管CBA和MCDA方法各有优缺点,但方法的选择应取决于项目的具体背景。
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