关键词: 铁路运输, 分类决策, 模糊聚类, 公益性旅客运输, 范围界定

Abstract:

With the proposal of "basic public services equalization" plan and the promotion of railway "government-enterprise separation" marketization reform, the contradiction between public welfare and commercial service of railway becomes increasingly prominent. Reasonably defining the scope of public welfare passenger transportation is the precondition to alleviate conflicts and realize effective supply. Combining qualitative and quantitative analysis, this paper constructs a compound decision model for defining the scope of railway public welfare passenger transportation based on B- C-C three- stage decision process and PCFA-FCM dimension- reduced clustering algorithm.The B- C-C three- stage decision model takes social benefits, economic condition and practical capability as the hierarchical judgement conditions to realize the top-level decision-making of the scope of public welfare passenger transport. The PCFA-FCM dimension-reduced clustering algorithm solves the problem of quantitative analysis of social benefits (public welfare degree), which is the most difficult step in the actual operation of decision-making process. It can get rid of the constraint of train type, classify the trains according to the actual index attribute.

Key words: railway transportation, classification decision, fuzzy cluster analysis, public welfare passenger transportation, scope definition