东北大学学报（自然科学版）

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (1): 133-140.DOI: 10.12068/j.issn.1005-3026.2022.01.019

• 管理科学 • 上一篇    下一篇

快速公交站间距服务水平分级方法

霍月英1, 2， 邱智宣3， 陈国庆2， 郭晨1   

  1. )(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. 重庆交通大学 交通运输学院， 重庆400074)
  • 修回日期:2021-03-14 接受日期:2021-03-14 发布日期:2022-01-25
  • 通讯作者: 霍月英
  • 作者简介:霍月英(1985-)，女，内蒙古凉城县人，内蒙古大学副教授，博士后研究人员； 陈国庆(1964-)，男，内蒙古宁城县人，内蒙古大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51668048).

Method of Service Level Classification of Station Spacing for Bus Rapid Transit

HUO Yue-ying1, 2， QIU Zhi-xuan3， CHEN Guo-qing2， GUO Chen1   

  1. 1. Transportation Institute， Inner Mongolia University， Hohhot 010070， China; 2. School of Mathematical Science， Inner Mongolia University， Hohhot 010021， China; 3. College of Traffic & Transportation， Chongqing Jiaotong University， Chongqing 400074， China.
  • Revised:2021-03-14 Accepted:2021-03-14 Published:2022-01-25
  • Contact: CHEN Guo-qing
  • About author:-
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摘要： 提出基于有序Logistic回归模型的服务水平分级临界值确定方法.通过提出快速公交不同站间距的客流量估算方法和建立站间距与公交车运行速度的三次方函数，标定了快速公交的仿真参数.采用VISSIM软件建立不同站间距(500~1500m)的快速公交仿真系统，据此制作了包含到站、等车、乘车、离站4个阶段的快速公交出行视频短片.通过受访者观看快速公交出行视频短片进行视频实验，收集到126份不同站间距的服务水平数据，采用提出的分级临界值确定方法建立了快速公交的站间距服务水平分级.所建分级中A级~F级的临界值分别为300，460，850，1300，1900m.所建分级可指导快速公交规划及建设中的站间距设置，可评价现状站间距所提供的服务水平.

关键词: 站间距;服务水平分级;有序Logistic回归模型;分级临界值;客流量

Abstract: A method for determining the classification thresholds of service levels based on the ordinal Logistic regression model was proposed. The passenger volume estimation method of different station spacing for bus rapid transit(BRT)was proposed， and the cubic function of station spacing and bus running speed was established to calibrate the BRT simulation parameters. The software of VISSIM was used to establish BRT simulation systems with different station spacing of 500~1500m. Based on this， the BRT travel video clips including four stages of arrival， waiting， boarding and departure were produced. The video experiments were carried out and the data of service levels under different station spacings were collected with the sample size of 126. The service level classification of BRT station spacing was established using the proposed classification thresholds method. The thresholds of A~F service levels are 300， 460， 850， 1300 and 1900m respectively. The built service level classification can guide the setting of station spacing under BRT planning and construction， and can be used to evaluate the service levels provided by the current station spacing.

Key words: station spacing; service level classification; ordinal Logistic regression model; classification threshold; passenger volume

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