关键词: 综合交通运输, 交通运输结构, 信息熵, 主成分分析, 灰色关联

Abstract: Because of the complex influencing factors, the research on transportation structure usually based on a simple combination of qualitative analysis and ratio-based relation, which lacks of objective quantitative evaluation. The paper applies the information entropy theory to quantitatively study the evolution and development law for regional transportation structure. First, the transport structure information entropy is proposed, and a balanced transportation structure and dominance indicators is proposed to measure the structure and evolution law. Based on that, the main driving-force factors are identified by principal component analysis with combination of gray relational method. The driving-force factors are: total investment in fixed assets, comprehensive factor and population. These may provide evidence for structural optimization of transportation decision-making theory. In the final section, Jiangsu province structural analysis is taken as an example to demonstrate the feasibility of the proposed method.

Key words: integrated transportation, transport structure, information entropy, principal component analysis, gray relation