基于交通基础设施发展水平的区域分异模型

K. Cherednichenko, Julia Miroshnikova
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引用次数: 0

摘要

本文从理论和实践两个方面阐述了根据交通基础设施发展水平划分区域的方法。研究的目的是根据乌克兰地区的交通基础设施发展水平,制定一种正式的领土区分方法。界定了“运输基础设施”一词的问题。介绍了交通基础设施发展水平评估的经典方法。揭示了“差异化”概念的本质及其在运输行业中的意义。考虑了交通基础设施区域供给评价系数、交通网络密度系数和交通网络安全评价指标。在考虑的系数和初步统计数据的基础上,根据运输基础设施的发展水平对乌克兰各地区进行了分析。交通基础设施发展水平的不平等(即使在一个国家内)既有客观原因(地理位置、资源潜力),也有主观原因(资源的有效利用、区域管理的有效性)。为解决这一问题,形成了一个综合评价体系。它是建立在不确定条件下决策方法的基础上的。为了进行实际示范,根据交通基础设施发展水平对乌克兰地区进行了区分。在评价过程中,可以按区域确定对整体结果影响最大的因素。改善构成最具影响力的定性评价的定量指标将导致总体评价的增加。因此,使用开发的算法,可以优化特定区域的交通基础设施发展管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of territorial differentiation by transport infrastructure level of development
The research paper presents theoretical and practical aspects of differentiation of territories according to the level of transport infrastructure development. The purpose of the research is to develop a formalized approach to territorial differentiation according to the level of transport infrastructure development on the example of Ukrainian regions. The issues with the term of "transport infrastructure" are defined. Classical methodological approaches to transport infrastructure level of development assessment are described. The essence of the concept of "differentiation" and its meaning in the transport industry are revealed. The coefficients for assessing the provision of regions with transport infrastructure, transport network density coefficient and the assessment of transport network safety indicator are considered. On the basis of the considered coefficients and initial statistical data, the analysis of regions of Ukraine, based on a level of development of a transport infrastructure, was conducted. The inequality of transport infrastructure level of development (even within one country) is caused due to both objective (geographical location, resource potential) and subjective reasons (efficient use of resources, effectiveness of regional management). An integrated assessment in order to solve this task was formed. It is based on the apparatus of the methodology of decision-making in conditions of uncertainty. For the practical demonstration, the regions of Ukraine were differentiated, according to the level of transport infrastructure development. During the evaluation, it is possible to determine the factor with the greatest impact on the overall result by region. Improving the quantitative indicators that form the most influential qualitative assessment would lead to an increasement of the overall assessment. Thus, using the developed algorithm, it becomes possible to optimize the management of transport infrastructure development of a particular territory.
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