基于模糊双边界网络模型的道路运输效率评价

doi:10.13229/j.cnki.jdxbgxb20210761

摘要/Abstract

摘要：

为更加全面、客观、灵活地评价道路运输效率，本文将道路运输过程拆解为基础设施建设、客货运输主体及运输绩效评估三部分，充分考虑非期望产出和指标不确定性对效率的影响，提出了基于模糊双边界网络数据包络模型的道路运输效率评价方法。模型的主要优点为能灵活地监测不精确系统中内部子过程效率的变化情况，突出无效决策单元在效率评价中的作用。最后，采用秩和检验证明模型可靠性后，对吉林省道路运输效率进行评价。

关键词: 交通运输规划与管理, 模糊环境, 道路运输效率, 双边界, 网络DEA

Abstract:

In order to evaluate the efficiency of road transportation more comprehensively， objectively and flexibly， the road transportation process was disassembled into three parts： infrastructure construction， passenger and cargo transportation and transportation performance evaluation， and fully considered the impact of undesired output and indicator uncertainty on efficiency. As a result， a road transportation efficiency evaluation method based on fuzzy double frontiers network data envelopment model was proposed. The main advantage of the model was that it can monitor the variation of internal sub-process efficiency in the imprecise system and highlight the role of inefficiency decision unit in efficiency evaluation. Finally， the model was used to evaluate the road transportation efficiency in Jilin Province， and the reliability of the model was proved by the rank-sum test.

Key words: transportation planning and management, fuzzy environment, road transport efficiency, double frontiers, network DEA

中图分类号:

U491

王占中,蒋婷,张景海. 基于模糊双边界网络模型的道路运输效率评价[J]. 吉林大学学报(工学版), 2023, 53(2): 385-395.

Zhan-zhong WANG,Ting JIANG,Jing-hai ZHANG. Evaluation of road transportation efficiency based on fuzzy double frontiers network model[J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 385-395.

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参考文献 21

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目标层	过程层	投入产出层	指标层	单位	说明
道路运输效率	基础设施建设过程	投入	载客汽车拥有量	万辆	-
			载货汽车拥有量	万辆	-
			固定资产投资总额	亿元	-
		中间产出	公路里程	万公里	包含等级公路里程和等级以外公路里程
			客位数	万客位	公路营运汽车额定载客人数
			载货吨位	万吨	公路营运汽车额定载货吨数
	客货运输过程	投入	道路运输业从业人数	人	-
			客位数	万客位	-
			载货吨位	万吨	-
			能源	万吨	折算成标准煤
			公路里程	公里	-
		中间产出	旅客周转量	亿人公里	-
		中间产出	货运周转量	亿吨公里	-
	运输绩效过程	投入	旅客周转量	亿人公里	-
		投入	货运周转量	亿吨公里	-
		最终产出	道路运输业增加值	亿元	-
		最终产出	二氧化碳排放量	万吨	利用能源估算

年份	EBEF	排名	EBIF	排名	EBDF	排名
2000 2001 2002	0.6676 0.7814 1	19 13 1	1 1.7744 1.9175	19 8 3	0.8171 1.1775 1.3847	19 10 3
2003	0.5602	20	1	20	0.7485	20
2004	0.7319	16	1.4082	15	1.0152	15
2005 2006 2007 2008 2009 2010 2011 2012	0.6840 0.8842 1 0.8854 0.7334 0.6862 0.8039 0.9393	18 9 1 8 15 17 12 6	1.3319 1.7744 2.0886 1.7819 1.6210 1 1.7133 1.8913	16 8 2 7 12 18 10 4	0.9545 1.2526 1.4452 1.2561 1.0900 0.8284 1.1736 1.3329	16 8 2 7 14 18 11 5
2013 2014 2015 2016 2017 2018 2019	1 0.8618 1 0.7641 0.8987 0.8122 1	1 10 1 14 7 11 1	1.7643 1 2.1370 1.6210 1.6509 1.5035 1.7843	6 17 1 12 11 14 5	1.3283 0.9283 1.4618 1.1129 1.2181 1.1051 1.3358	6 17 1 12 9 13 4

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