• 综合性科技类中文核心期刊
    • 中国科技论文统计源期刊
    • 中国科学引文数据库来源期刊
    • 中国学术期刊文摘数据库(核心版)来源期刊
    • 中国学术期刊综合评价数据库来源期刊
ZHAO Lin, LIU Wenfeng, LI Bin, ZHANG Mo, WANG Xueran. Evaluation Method for Operational Effect of Fast-charging Electric BRT[J]. Journal of Beijing University of Technology, 2017, 43(11): 1722-1729. DOI: 10.11936/bjutxb2016120038
Citation: ZHAO Lin, LIU Wenfeng, LI Bin, ZHANG Mo, WANG Xueran. Evaluation Method for Operational Effect of Fast-charging Electric BRT[J]. Journal of Beijing University of Technology, 2017, 43(11): 1722-1729. DOI: 10.11936/bjutxb2016120038

Evaluation Method for Operational Effect of Fast-charging Electric BRT

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  • Received Date: December 13, 2016
  • Available Online: August 03, 2022
  • Published Date: November 09, 2017
  • Centered on the evaluation issue of the operational effect of fast-charging electric bus rapid transit (BRT), a evaluation method was proposed based on the running characteristics of fast-charging electric vehicles and the operational features of BRT system. Firstly, the applicability of the fast-charging electric vehicles applied to BRT system was analyzed. From the perspectives of operational vehicles performance, facility level, passengers' level of service and economic benefit, the evaluation index system for the operational effect of fast-charging electric BRT with 9 detailed indexes including substitution rate of fuel vehicles, attenuation rate of power battery and supply and demand balance relationship of charging facility was proposed. Secondly, the evaluation method for the operational effect of fast-charging electric BRT was established with gray cluster method. Finally, the national first electric BRT line in Jinhua was selected as a case for accessing its operational effect. It shows from the comparison with the survey result of actual operational effect, the method in this study can reflect the actual operational effect of the fast-charging electric BRT more factually and effectively than the method for accessing the operational effect of conventional BRT.

  • [1]
    王秉刚. 我国新能源汽车推广工作成绩与问题探讨[C]//中国电动汽车百人会2016年会演讲集. 北京: 中国电动汽车百人会, 2016: 121-123.

    WANG B G. Performance and Problems on promoting new energy vehicles in China[C]//Annual Meeting Speeches in 2016 of China EV 100. Beijing:China EV 100, 2016:121-123. (in Chinese)
    [2]
    AIGNER T A. Efficiency evaluation of gas fueled and electric driven busses in the public transport sector[R]. Norway:SINTEF Energy Research, 2013.
    [3]
    ZHU C, CHEN X H, WU J R, et al. Assessment of battery electric bus operation in Shanghai EXPO[C/CD]//Transportation Research Board. Washington, DC:Transportation Research Board of the National Academies, 2012:1-15.
    [4]
    SCHIMEK P, WATKINS K, CHASE D, et al. Evaluation of the las vegas metropolitan area express (MAX):bus rapid transit (BRT) project[R]. Washington, DC:Federal Transit Administration, 2006.
    [5]
    胡红, 杨孝宽, 魏中华, 等.基于成本-效益优化的BRT规划方案评价研究[J].北京工业大学学报, 2007, 33(4):393-397. http://www.bjutxuebao.com/bjgydx/CN/abstract/abstract1186.shtml

    HU H, YANG X K, WEI Z H, et al. Bus rapid transit planning with combinations of elements selection and optimization[J]. Journal of Beijing University of Technology, 2007, 33(4):393-397. (in Chinese) http://www.bjutxuebao.com/bjgydx/CN/abstract/abstract1186.shtml
    [6]
    王亚东. 城市快速公交系统运营效果后评价研究[D]. 长春: 吉林大学, 2014.

    WANG Y D. Study on the operation effect post evaluation of urban bus rapid transit system[D]. Changchun:Jilin University, 2014. (in Chinese)
    [7]
    HERBERT S L, SCOTT R, ERIC B. Bus rapid transit:TCRP report 90[R]. Washington, DC:Transportation Research Board of the National Academies, 2003.
    [8]
    金才富. 基于不确定数学方法的快速公交系统建设与运营综合评价[D]. 杭州: 浙江工业大学, 2011. http://cdmd.cnki.com.cn/Article/CDMD-10337-1012286702.htm

    JIN C F. Comprehensive evaluation of BRT system construction and operation level based on uncertain mathematical methods[D]. Hangzhou:Zhejiang University of Technology, 2011. (in Chinese) http://cdmd.cnki.com.cn/Article/CDMD-10337-1012286702.htm
    [9]
    荆琳. 关于快速公交系统(BRT)评价体系研究[D]. 西安: 长安大学, 2005.

    JING L. Research on the evaluation system for BRT[D]. Xi'an:Chang'an University, 2005. (in Chinese)
    [10]
    张彬. 常规公交线路优化与资源配置评价指标体系研究[D]. 南京: 东南大学, 2006. http://cdmd.cnki.com.cn/Article/CDMD-10286-2007031808.htm

    ZHANG B. Research on the index evaluation system of normal public transit's route optimization and resource distribution[D]. Nanjing:Southeast University, 2006. (in Chinese) http://cdmd.cnki.com.cn/Article/CDMD-10286-2007031808.htm
    [11]
    毛剑. 快速公交(BRT)系统的模糊智能评价理论与方法的研究[D]. 杭州: 浙江工业大学, 2009. http://cdmd.cnki.com.cn/Article/CDMD-10337-2010063166.htm

    MAO J. Study on urban BRT system's Intellectual fuzzy evaluating theory and method[D]. Hangzhou:Zhejiang University of Technology, 2009. (in Chinese) http://cdmd.cnki.com.cn/Article/CDMD-10337-2010063166.htm
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