摘要翻译:
网络科学是一门新兴的学科,它利用网络范式将通信系统建模为相互连接的节点及其链接(边)的对集。本文运用这一范式,研究了区域经济中一个由以劳动为目的的日常道路交通流构成的相互作用系统,即所谓的通勤现象。特别是,将希腊39个非岛屿县的通勤系统建模为一个复杂网络,并采用复杂网络分析的措施和方法以及实证技术对其进行了研究。本研究旨在了解希腊区际通勤网络(GCN)的结构特征,并解释该网络与区域发展的关系。该分析强调了GCN结构中空间限制的影响,提供了对过去十年建设的主要道路运输项目的见解,并概述了人口控制(重力)的通勤模式,说明人口稠密的地区吸引了更多的通勤活动,从而影响了其生产率。总体而言,本文突出了复杂网络分析在区域经济系统建模中的有效性,如空间相互作用系统、交通网络等,促进了网络范式在区域研究中的应用。
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英文标题:
《The network paradigm as a modeling tool in regional economy: the case of
interregional commuting in Greece》
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作者:
Dimitrios Tsiotas, Labros Sdrolias, Dimitrios Belias
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最新提交年份:
2020
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分类信息:
一级分类:Economics 经济学
二级分类:General Economics 一般经济学
分类描述:General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类:Quantitative Finance 数量金融学
二级分类:Economics 经济学
分类描述:q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学,包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要:
Network Science is an emerging discipline using the network paradigm to model communication systems as pair-sets of interconnected nodes and their linkages (edges). This paper applies this paradigm to study an interacting system in regional economy consisting of daily road transportation flows for labor purposes, the so-called commuting phenomenon. In particular, the commuting system in Greece including 39 non-insular prefectures is modeled into a complex network and it is studied using measures and methods of complex network analysis and empirical techniques. The study aims to detect the structural characteristics of the Greek interregional commuting network (GCN) and to interpret how this network is related to the regional development. The analysis highlights the effect of the spatial constraints in the structure of the GCN, it provides insights about the major road transport projects constructed the last decade, and it outlines a populationcontrolled (gravity) pattern of commuting, illustrating that high-populated regions attract larger volumes of the commuting activity, which consequently affects their productivity. Overall, this paper highlights the effectiveness of complex network analysis in the modeling of systems of regional economy, such as the systems of spatial interaction and the transportation networks, and it promotes the use of the network paradigm to the regional research.
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PDF链接:
https://arxiv.org/pdf/2001.09664