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快速公交服务水平模糊分级方法
引用本文:霍月英,李文权,李晓娟,陈国庆. 快速公交服务水平模糊分级方法[J]. 东北大学学报(自然科学版), 2020, 41(10): 1509-1516. DOI: 10.12068/j.issn.1005-3026.2020.10.021
作者姓名:霍月英  李文权  李晓娟  陈国庆
作者单位:(1. 内蒙古大学 交通学院, 内蒙古 呼和浩特010070; 2. 内蒙古大学 数学科学学院, 内蒙古 呼和浩特010021; 3. 东南大学 交通学院, 江苏 南京211189)
基金项目:国家自然科学基金资助项目(51668048,71961024).
摘    要:提出了“分类评价指标、构建隶属度矩阵、绘制隶属函数图”的快速公交服务水平模糊分级方法.选取到站时间、等车时间、公交车速度作为评价指标,采用自主开发的公交出行调查系统开展快速公交乘客出行调查,基于调查所获数据采用模糊分级方法建立了快速公交服务水平的模糊分级.与目前国内外使用的硬分级对比后发现:模糊分级消除了清晰的边界,通过隶属度来体现评价指标属于不同服务水平等级的程度,评价指标变化引起的服务水平变化通过隶属度改变得以体现,从而有效地克服了硬分级存在的问题.

关 键 词:服务水平分级  模糊分级  隶属度  快速公交  公交服务水平  
收稿时间:2019-10-14
修稿时间:2019-10-14

Fuzzy Criteria Method of Level of Service for Bus Rapid Transit
HUO Yue-ying,LI Wen-quan,LI Xiao-juan,CHEN Guo-qing. Fuzzy Criteria Method of Level of Service for Bus Rapid Transit[J]. Journal of Northeastern University(Natural Science), 2020, 41(10): 1509-1516. DOI: 10.12068/j.issn.1005-3026.2020.10.021
Authors:HUO Yue-ying  LI Wen-quan  LI Xiao-juan  CHEN Guo-qing
Affiliation:1. Transportation Institute, Inner Mongolia University, Hohhot 010070, China; 2. School of Mathematical Science, Inner Mongolia University, Hohhot 010021, China; 3. School of Transportation, Southeast University, Nanjing 211189, China.
Abstract:The method of establishing fuzzy levels of service (LOS) criteria for bus rapid transit (BRT) was developed, whose steps included classifying measures, constructing membership matrix and drawing membership function diagrams. Select arrival time, waiting time and bus speed as evaluation indicators. BRT passenger travel surveys were conducted using a self-developed transit travel survey system. Based on the data collected from the surveys, BRT fuzzy LOS criteria were established using the developed method. Some findings were concluded by comparing the hard LOS criteria currently used worldwide:fuzzy LOS criteria eliminate clear boundaries and use membership to reflect to what extent the measures belong to different LOS grades; the changes of LOS due to the changes of measure values can be reflected by continuous changes of membership, thus fuzzy LOS criteria can avoid the shortcomings of the hard LOS criteria.
Keywords:level of service criteria  fuzzy criteria  membership  BRT  transit level of service  
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