吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (05): 1215-1221.doi: 10.7964/jdxbgxb201305011

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Effect analysis of external operation environment on the performance of bus routes by DEA and SFA

ZHU Wei-quan1,2, YANG Xiao-guang1, TENG Jing1   

  1. 1. College of Transportation Engineering, Tongji University, Shanghai 201804, China;
    2. Shenzhen Transportation Design & Research Institute, Shenzhen 518003, China
  • Received:2011-10-19 Online:2013-09-01 Published:2013-09-01

Abstract:

To analyze the effects of external operation environment on the performance of bus routes, a model framework is developed for independent measurement of operation efficiency and quality efficiency of bus routes. The model adopts a more sophisticated two-stage approach based on Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). Furthermore, four operation environment factors are introduced at the microscopic level of bus routes, which reflect the effects on the performance, and a set of performance indicators is established. Results of empirical analysis show that, the developed model framework is rational;the operation environment indicators significantly influence the operation efficiency and quality efficiency, especially the later. With respect to the operation efficiency and quality efficiency, both the average intersection density and average dwell time per bus stop are unfavorable;high percentage of priority lanes and high average pure operation speed are favorable;long route length and high bus stop density are helpful for operation efficiency but unhelpful for quality efficiency.

Key words: engineering of communications and transportation of system, bus routes, data envelopment analysis, stochastic frontier analysis, performance measurement, external operating environment

CLC Number: 

  • U491

[1] 朱伟权. 公共汽车交通运营监管基础问题研究[D]. 上海: 同济大学交通运输工程学院, 2012. Zhu Wei-quan. Research on the basic problems of bus operating regulation[D]. Shanghai: School of Transportation Engineering,Tongji University, 2012.

[2] Fried H O, Knox Lovell C A, Schmidt S S, et al. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002, 17(1/2): 157-174.

[3] Shimshak D G, Lenard M L, Klimberg R K. Incorporating quality into data envelopment analysis of nursing home performance: a case study[J]. Omega, 2009, 37(3): 672-685.

[4] Banker R D, Charnes A W, Cooper W. Some models for estimating technical and scale inefficiencies in data envelopment analysis[J]. Management Science, 1984, 30(9): 1078-1092.

[5] Jondrow J, Materov I, Knox Lovell C A, et al. On the estimation of technical inefficiency in the stochastic frontier production model[J]. Journal of Econometrics, 1982, 19(2/3): 233-238.

[6] De Borger B, Kerstens K, Costa A. Public transit performance: what does one learn from frontier studies?[J] Transport Reviews, 2002, 22(1): 1-38.

[7] Taylor B D, Fink C N Y. The factors influencing transit ridership: a review and analysis of the ridership literature. U.S.: University of California, Los Angeles, 2002.

[8] Rajbhandari R, Chien S I, Daniel J R. Estimation of bus dwell times with automatic passenger counter information[J]. Transportation Research Record, 2003(1841): 120-127.

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