Volume 41 Issue 1
Feb.  2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(1): 161-168
YAN Xiu, LU Yu, XIE Qian, LIU Qiang, XIE Xiaomin. A Method for Evaluating Operation Efficiency of Bus Lines Based on a Bootstrap-DEA-Gini Model[J]. Journal of Transport Information and Safety, 2023, 41(1): 161-168. doi: 10.3963/j.jssn.1674-4861.2023.01.017
Citation: YAN Xiu, LU Yu, XIE Qian, LIU Qiang, XIE Xiaomin. A Method for Evaluating Operation Efficiency of Bus Lines Based on a Bootstrap-DEA-Gini Model[J]. Journal of Transport Information and Safety, 2023, 41(1): 161-168. doi: 10.3963/j.jssn.1674-4861.2023.01.017
shu

A Method for Evaluating Operation Efficiency of Bus Lines Based on a Bootstrap-DEA-Gini Model

doi: 10.3963/j.jssn.1674-4861.2023.01.017
  • 1.

    School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, Guangdong, China

  • 2.

    Guangdong Provincial Marine Engineering Construction and Water Emergency Rescue Engineering Technology Center, Guangzhou 510006, China

  • 3.

    SYSU-GAC R&D Center Joint Laboratory of Intelligent Transportation and Artificial Intelligence, Guangzhou 510006, China

  • 4.

    Guangdong Marshell Electric Technology Co., Ltd, Zhaoqing 523268, Guangdong, China

  • Received Date: 2022-10-18
    Available Online: 2023-05-13
    Abstract
  • Scientific evaluation of operation efficiency of urban bus lines is the premise of optimizing bus network and improving its level of service. An evaluation method is developed with the following indicators as the input: number of lines, line length, average station distance, non-linear coefficient, departure interval, operating speed, and ratio of the average fare to the average income. The outputs of the evaluation include the ratio of the daily average passenger flow to the number of residents served and the revenue per kilometer. Then, a data envelopment analysis (DEA) model is developed to evaluate the operation efficiency of bus lines. In order to correct the bias from the random factors in the case study with a small sample, the Bootstrap sampling method is used to expand the number of samples to in order to reproduce the overall distribution. In order to reduce the risk associated with the high dimensionality of the input indicators, Gini impurity is introduced to determine the weights of each subset of indicators and a combined value is calculated, in order to jointly improve the ability of the DEA model to differentiate the operation efficiency of different bus lines. At the same time, as it is difficult to determine the impact of different indicators by DEA, a partial least squares regression method is used to quantify the impact of each indicator on the operation efficiency of bus lines. Based on this, a Bootstrap-DEA-Gini model is proposed to evaluate the operation efficiency of 457 bus lines in the City of Foshan, Guangdong Province, China. Study results show that the average station distance, line length, and non-linear coefficients have a significant impact on the operation efficiency of bus lines, of which the average station distance has the highest impact ratio of up to 0.98. It is also found that the main reasons for the low operation efficiency of bus lines in the City of Foshan are long average departure interval, large non-linear coefficient, and small number of passenger seats. The operation efficiencies calculated based on the proposed Bootstrap-DEA-Gini model are lower than the traditional DEA model, and bus lines with similar operating efficiency can be effectively distinguished, which indicates that proposed method is effective for evaluating the efficiency of real-world bus operation.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    庞敏. 基于AHP-DEA模型的常规公交线路评价[D]. 北京: 北京交通大学, 2017.

    PANG M. Bus line evaluation based on AHP-DEA model[D]. Beijing: Beijing Jiaotong University, 2017. (in Chinese)
    [2]
    谭英嘉, 郭莉. 城市常规公交评价指标体系研究: 以深圳为例[J]. 公路与汽运, 2014(6): 72-76. (in Chinese) doi: 10.3969/j.issn.1671-2668.2014.06.020

    TAN Y J, GUO L. Study on the evaluation index system of urban conventional public transport: Taking Shenzhen as an example[J]. Highway and Motor Transport, 2014(6): 72-76. doi: 10.3969/j.issn.1671-2668.2014.06.020
    [3]
    宋妙环. 基于DEA的北京市轨道交通运行效率评价研究[D]. 北京: 北京交通大学, 2017.

    SONG M H. Study on operation efficiency evaluation of Beijing rail transit based on DEA[D]. Beijing: Beijing Jiaotong University, 2017. (in Chinese)
    [4]
    孔宁, 翁剑成, 史清帅, 等. 基于数据包络分析的公交线路接驳效用评价方法[J]. 交通信息与安全, 2022, 40(1): 89-96. doi: 10.3963/j.jssn.1674-4861.2022.01.011

    KONG N, WENG J C, SHI Q S, et al. A method for evaluating transfer efficiency between bus and subway based on data envelopment analysis[J]. Journal of Transport Information and Safety, 2022, 40(1): 89-96. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.01.011
    [5]
    HAHN J S, KIM D K, KIM H C, et al. Efficiency analysis on bus companies in Seoul city using a network DEA model[J]. Ksce Journal of Civil Engineering, 2013, 17(6): 1480-1488. doi: 10.1007/s12205-013-0467-x
    [6]
    彭辉, 赵亚军. 基于DEA模型的城市公交交通效益对比评价[J]. 重庆交通大学学报(自然科学版), 2019, 38(12): 110-114. doi: 10.3969/j.issn.1674-0696.2019.12.17

    PENG H, ZHAO Y J. Comparative evaluation of urban public traffic benefits based on DEA model[J]. Journal of Chongqing Jiaotong University(Natural Science), 2019, 38(12): 110-114. (in Chinese) doi: 10.3969/j.issn.1674-0696.2019.12.17
    [7]
    张春勤, 隽志才, 徐丽群. 基于SE-DEA模型与Malmquist指数的城市公交企业运营绩效评价[J]. 系统管理学报, 2017, 26(1): 134-141. https://www.cnki.com.cn/Article/CJFDTOTAL-XTGL201701017.htm

    ZHANG C Q, JUAN Z C, XU L Q. Evaluating the operations performance of urban public transit firms based on SE-DEA model and Malmquist index[J]. Journal of Systems & Management, 2017, 26(1): 134-141. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTGL201701017.htm
    [8]
    ADHIKARI A, BASU S, BISWAS I, et al. A route efficiency analysis using Shannon entropy-based modified DEA method and route characteristics investigation for urban bus transport in India[J]. INFOR: Information Systems and Operational Research, 2018, 56(3): 332-359. doi: 10.1080/03155986.2017.1393727
    [9]
    马嘉欣, 陈旭梅, 柯靖宇, 等. 公交线路资源配置与客流状况协调性综合评价方法[J]. 交通信息与安全, 2021, 39(3): 121-127, 135. doi: 10.3963/j.jssn.1674-4861.2021.03.015

    MA J X, CHEN X M, KE J Y, et al. Comprehensive evaluation method for coordinating resource allocations and passenger flow of bus lines[J]. Journal of Transport Information and Safety, 2021, 39(3): 121-127, 135. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2021.03.015
    [10]
    LI X, YU J, SHAW J, et al. Route-level transit operational-efficiency assessment with a bootstrap super-data envelopment analysis model[J]. Urban Planning and Development, 2017, 143(3): 04017007. doi: 10.1061/(ASCE)UP.1943-5444.0000388
    [11]
    孔雪, 任传祥, 高歌, 等. 考虑轨道交通规划的城市公交线路运行效率评价[J]. 科学技术与工程, 2020, 20(13): 5390-5395. doi: 10.3969/j.issn.1671-1815.2020.13.057

    KONG X, REN C X, GAO G, et al. Evaluation on operation efficiency of urban public transport system considering rail transit planning[J]. Science Technology and Engineering, 2020, 20(13): 5390-5395. (in Chinese) doi: 10.3969/j.issn.1671-1815.2020.13.057
    [12]
    冯树民, 申翔浩. 公交线路资源配置与高峰客流协调评价研究[J]. 交通运输系统工程与信息, 2015, 15(4): 129-133. doi: 10.3969/j.issn.1009-6744.2015.04.020

    FENG S M, SHEN X H. Evaluation of coordination between bus lines resource allocation and peak passenger flow[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(4): 129-133. doi: 10.3969/j.issn.1009-6744.2015.04.020
    [13]
    LIU Z C, WU N Q, QIAO Y, et al. Performance evaluation of public bus transportation by using DEA models and Shannon's entropy: An example from a company in a large city of China[J]. IEEE-CAA Journal of Automatica Sinica, 2021, 8(4): 779-795. doi: 10.1109/JAS.2020.1003405
    [14]
    季珏, 高晓路, 刘星辰. 城市交通效率的多目标评价方法研究: 以北京市城六区为例[J]. 地理科学进展, 2016, 35 (1): 118-125.

    JI J, GAO X L, LIU X C. Study on multi-objective evaluation method of urban traffic efficiency: Taking Beijing six districts as an example[J]. Progress in Geography, 2016, 35 (1): 118-125. (in Chinese)
    [15]
    高志方, 覃朝春, 彭定洪. 基于回归分析与网络DEA的城市公交企业运营效率分析[J]. 昆明理工大学学报(社会科学版), 2015, 15(4): 68-75.

    GAO Z F, QIN C C, PENG D H. Evaluating the operation efficiency of city bus enterprises based on regression analysis and network data envelopment analysis[J]. Journal of Kunming University of Science and Technology, 2015, 15(4): 68-75. (in Chinese)
    [16]
    王火根, 杨甜甜. 生物质发电企业绿色技术创新效率及其影响因素研究: 基于Bootstrap-DEA方法检验[J]. 科技管理研究, 2021, 41(17): 191-198. https://www.cnki.com.cn/Article/CJFDTOTAL-KJGL202117024.htm

    WANG H G, YANG T T. Research on green technology innovation efficiency and its influencing factors of biomass power generation enterprises: test based on Bootstrap-DEA method[J]. Science and Technology Management Research, 2021, 41(17): 191-198. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KJGL202117024.htm
    [17]
    李学文, 徐丽群. 超效率Gini方法在城市交通行业面板数据中的研究[J]. 中国管理科学, 2014(增刊1): 1-7. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGK2014S1001.htm

    LI X W, XU L Q. A study on panel data of urban public transport based on super efficiency Gini approach[J]. Chinese Journal of Management Science, 2014(S1): 1-7. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGK2014S1001.htm
    [18]
    李学文, 徐丽群. 超效率Gini方法在城市交通行业面板数据中的研究[C]. 第十六届中国管理科学学术年会, 太原: 中国优选法统筹法与经济数学研究会, 2014.

    LI X W, XU L Q. A study on panel data of urban public transport based on super efficiency Gini approach[C]. 16th China Annual Conference on Management Science, Taiyuan: Chinese Society of Optimization & Overall Planning and Economic Mathematics, 2014. (in Chinese)
    [19]
    UPLIU Y F, CHIEN S, HU D W, et al. Developing an extenics-based model for evaluating bus transit system[J]. Advanced Transportation, 2020(1): 1-13.
    [20]
    UP彭春艳, 李文华, 陈国福. 基于文本分析和PLS模型的项目经理岗位胜任力研究[J]. 铁道科学与工程学报, 2021, 18(7): 1928-1934. https://www.cnki.com.cn/Article/CJFDTOTAL-CSTD202107031.htm
    [35]
    PENG C Y, LI W H, CHEN G F. Research on competency of project manager post based on text analysis and PLS model[J]. Journal of Railway Science and Engineering, 2021, 18 (7): 1928-1934.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(4)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (645) PDF downloads(17) Cited by()
    Proportional views
    Related

    Copyright Editorial Office of Transport Information and Safety鄂ICP备05003336号-2

    Address：No. 1178，Heping Avenue, Wuchang, Wuhan, CHINA (430063)

    Tel：027-86580355 Email：jtjsj@vip.163.com

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return