公路运输效率是衡量公路运输发展水平的重要依据。应用数据包络分析(DEA)方法中的BCC模型,结合超效率模型,对长三角地区2014年16个城市公路交通运输有效性进行评价,从投入冗余和产出不足两方面分析非DEA有效单元存在的问题。运用DEA-Malmquist指数方法,全面分析2007-2014年长三角地区公路运输全要素生产率的时空演变规律和区域差异,得到下列结果。1)长三角地区2014年公路运输综合效率整体水平较高;存在着一定的地区差异性,南北分异突出,南部地区明显高于北部地区;有效性主要受规模效率影响。2)2007-2014年公路运输的全要素生产率指数呈现了一定的波动,总体较为稳定;公路运输技术进步的波动是导致其变化的主要原因。从时空演化来看,长三角地区2007-2014年时间段内,Malmquist指数先升后降,区域差异先缩小后增大。北部地区区域差异高于南部地区。
Transportation efficiency is an important index for highway transportation service evaluation. This research evaluated the highway transportation efficiency for the 16 cities of the Yangtze River Delta in 2014 using the BCC model combined with the super-efficiency model in data envelopment analysis (DEA) method. With the DEA-Malmquist method, spatial and temporal development characteristics of highway transportation total factor productivity (TFP) were analyzed. Some conclusions were drawn as follows. 1) The overall efficiency of the highway transportation in the Yangtze River Delta was high in 2014, but there were some regional differences and the integrated transportation efficiency of the southern part was significantly higher than that of the northern part, which was decided by scale efficiency. 2) Malmquist index of highway transportation from 2007 to 2014 showed a certain fluctuation but was relatively stable in overall. The fluctuation in technical progress of the highway transportation was the main factor in the change in TFP. From the point of view of the space-time evolution from 2007 to 2014, the Malmquist index increased first and then decreased, while the regional difference decreased first and then increased. The regional difference in the northern part was larger than that in the southern part.
[1] 杨良杰, 吴威, 苏勤,等. 基于SBM-Undesirable模型的1997-2010年中国公路运输效率评价[J]. 地理科学进展, 2013,32(11):1602-1611.
[2] Costa A, Markellos R N. Evaluation public transport efficiency with neural network models[J]. Transportation Research Part C:Emerging Technologies, 1997, 5(5):301-312.
[3] 吴威, 曹有挥, 梁双波. 运输效率研究述评及基于交通运输地理学视角的研究展望[J]. 地理科学进展,2013, 32(2):243-250.
[4] 唐常春, 樊杰, 黄梅. 长株潭城市群公路交通与区域协调发展研究[J]. 地域研究与开发, 2011, 30(2):91-95.
[5] Gilbert G, Dajani J. Measuring the performance of transit service[M]. Chapel Hill, North Carolina:University of North Carolina Press, 1975:35-65.
[6] Tomazinis A R. A study of efficiency indicators of urban public transportation systems. Washington, DC:United States Department of Transportation (USDOT), 1977:299.
[7] Fielding G J, Glauthier R E, Lave C A. Performance indicators for transit management[J]. Transportation, 1978, 7(4):365-379.
[8] Levinson D. Perspectives on efficiency in transportation[J]. International Journal of Transport Management, 2003, 1(3):145-155.
[9] Karlaftis M G, Tsamboulas D. Efficiency measurement in public transport:Are findings specification sensitive?[J]. Transportation Research Part A:Policy and Practice, 2012, 46(2):392-402.
[10] Jain P, Cullinane S, Cullinane K. The impact of governance development models on urban rail efficiency[J]. Transportation Research Part A:Policy and Practice, 2008, 42(9):1238-1250.
[11] 李雪, 吴芳, 左建伟. 兰州市交通运输效率的评价分析[J]. 交通科技与经济, 2007(3):92-94.
[12] 段新, 岑晏青, 路敖青. 基于DEA模型的31省份公路运输效率分析[J]. 交通运输系统工程与信息, 2011, 11(6):25-29.
[13] 吴群琪, 宋京妮, 巨佩伦, 等. 中国省域综合运输效率及其空间分布研究[J]. 经济地理, 2015, 35(12):43-49.
[14] 李涛, 曹小曙, 杨文越, 等. 中国区域综合运输效率的测度及其时空演化[J]. 地理科学, 2015, 35(2):168-175.
[15] 吴威, 曹有挥, 梁双波. 外部成本对区域综合运输成本空间格局的影响:以长江三角洲地区为例[J]. 地理科学, 2011, 31(11):1322-1328.
[16] 李洁, 左毅刚. 基于超效率DEA方法的公路运输效率评价与分析[J]. 交通信息与安全, 2015, 33(1):127-132.