高速铁路建设项目有效性的多标准分析:以捷克共和国为例

IF 0.5 Q3 GEOGRAPHY Geographia Cassoviensis Pub Date : 2022-01-01 DOI:10.33542/gc2022-2-02
M. Viturka, V. Pařil, Jakub Chmelík
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引用次数: 0

摘要

本文试图通过应用多标准分析来评估捷克共和国计划中的高速铁路公共建设项目的有效性。根据项目的性质,拟定的原始评价方法主要强调可能产生的积极影响和尽量减少不利影响。它包括整合、相关性、有用性、激励和可持续性的标准。在此背景下,本文综合介绍了所使用标准的事实重点、地理和实践背景,并进一步介绍了四条主要规划高速线路的比较评价结果。随后,从最重要的利益相关者的角度讨论所获得的知识,并通过相关场景(即投资者、企业和公民场景)进行解释。URL: https://www.gcass.science.upjs.sk/
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Multicriteria analysis of the effectiveness of high-speed rails construction projects: case study of the Czech Republic
This article seeks to evaluate the effectiveness of planned public construction projects of high-speed rails in the Czech Republic through the application of multicriteria analysis. In line with the nature of the projects, the developed original evaluation methodology places the main emphasis on the potential production of positive effects and on minimizing adverse effects. It includes criteria for integration, relevance, usefulness, stimulation, and sustainability. In this context, article provides synthesized information on the factual focus and geographical and practical context of application of the criteria used, and further on the results of the comparative evaluation of the four main planned high-speed routes. The acquired knowledge is subsequently discussed from the point of view of the most important stakeholders, interpreted through relevant scenarios, i.e. investor, business, and civic scenarios. URL: https://www.gcass.science.upjs.sk/
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
4
期刊介绍: Geographia Cassoviensis is a biannual peer-reviewed journal published by the Pavol Jozef Šafárik University in Košice since 2007. It is available both in print and open-access electronic version. The journal publishes original research articles from Geography and other closely-related research fields. Since 2016 the journal is indexed in SCOPUS and ERIH PLUS - European Reference Index for Humanities and Social Sciences, and since 2017 also in Emerging Sources Citation Index by Clarivate Analytics.
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