华南理工大学学报(自然科学版) ›› 2022, Vol. 50 ›› Issue (2): 15-22.doi: 10.12141/j.issn.1000-565X.210199

所属专题: 2022年交通运输工程

• 交通运输工程 • 上一篇    下一篇

公交线路运行不稳定性画像方法及其应用

吴娇蓉1,2 谢金宏王宇沁1,2   

  1. 1.同济大学 道路与交通工程教育部重点实验室,上海 201804;2.同济大学 城市交通研究院,上海 201804
  • 收稿日期:2021-04-10 修回日期:2021-07-27 出版日期:2022-02-25 发布日期:2022-02-01
  • 通信作者: 王宇沁(1990-),女,博士,助理研究员,主要从事交通运输规划与管理研究。 E-mail:081263@tongji.edu.cn
  • 作者简介:王宇沁(1990-),女,博士,助理研究员,主要从事交通运输规划与管理研究。
  • 基金资助:
    上海市科委科研计划项目(19DZ1208904,19DZ1208900)

The Profiling Method of Instability of Bus Route Operation and Its Application

WU Jiaorong1,2 XIE JinhongWANG Yuqin1,2   

  1. 1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China;
    2.Urban Mobility Institute,Tongji University,Shanghai 201804,China
  • Received:2021-04-10 Revised:2021-07-27 Online:2022-02-25 Published:2022-02-01
  • Contact: 王宇沁(1990-),女,博士,助理研究员,主要从事交通运输规划与管理研究。 E-mail:081263@tongji.edu.cn
  • About author:王宇沁(1990-),女,博士,助理研究员,主要从事交通运输规划与管理研究。
  • Supported by:
    Supported by the Research Project of Shanghai Science and Technology Commission(19DZ1208904,19DZ1208900)

摘要: 为探究公交线路运行稳定性的影响因素及评估方法,精准提高公交线路的服务品质及客流吸引力,文中聚焦站点乘客候车时间和全程运行时间波动性,提出公交线路运行不稳定性的分级方法。以上海为例,选取中心城和嘉定新城共135条公交线路,将其划分为4类开展应用研究,发现中心城和嘉定新城两项运行稳定性指标均“好”和两项运行稳定性指标均“差”的线路比例基本相同,不受空间区位影响,运行稳定性指标一“好”一“差”的线路则表现出差异性。对4类线路采用线路长度、站间距、平均每日百公里人次、线路非直线系数、途经公交专用道里程比、途径主干道里程比、沿线人口密度、沿线POI密度等指标进行一次和二次画像,结合多次画像结果,考虑中心城、嘉定新城的空间区位差异性,针对性地提出优化运营调度、增设公交专用道、改善新城主干道等优化策略。文中研究结果可为精准提高公交线路的服务品质提供决策支持。


关键词: 城市交通, 公交线路, 公交线路画像, 运行稳定性, 公交运营优化

Abstract: To explore the factors affecting the stability of bus routes and the corresponding evaluation methods, and to accurately improve the service quality and passenger attractiveness of bus routes, focusing on the volatility of the passenger waiting time and the entire travel time, this paper proposes a classification method for the operation instability of bus routes. By taking Shanghai as an example, 135 bus routes in the central city and Jiading new city were selected and divided into 4 types to carry out application research. It is found that the proportions of routes with two “good” indicators and two “bad” indicators in the central city and Jiading new city are basically the same, and are not affected by spatial location. However, the routes with one “good” indicator and one “bad” indicator show differences. The 4 types of routes were then profiled twice by using several indicators such as length of route, distance between bus stops, ridership per 100 kilometers per day, the nonlinear coefficient of routes, the mileage ratio of bus lane, the mileage ratio of the main roads, the population density along the route, the POI density along the route, and so on. By combining the results of twice profiles and considering the spatial location differences between the central city and Jiading new city, targeted optimization strategies, such as operation scheduling optimization, additional bus lanes and main road improvement in new city, were proposed. This research can provide decision support for accurately improving the service quality of bus routes.


Key words: urban traffic, bus route, bus route profile, operation stability, bus operation optimization

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