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中国管理科学 ›› 2025, Vol. 33 ›› Issue (1): 182-194.doi: 10.16381/j.cnki.issn1003-207x.2024.1639cstr: 32146.14.j.cnki.issn1003-207x.2024.1639

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复杂性视角下的城市交通系统健康管理理论及研究进展

刘诗炎1, 曾冠文2, 睢少博1, 段金肖3, 陈君豪1, 陈喜群4, 葛显龙5, 李想6, 欧阳敏7, 邵虎8, 吴俊9, 许项东10, 张博文11, 田琼12, 吴建军13, 李大庆1,14()   

  1. 1.北京航空航天大学可靠性与系统工程学院,北京 100191
    2.北京交通大学系统科学学院,北京 100044
    3.北京交通大学交通运输学院,北京 100044
    4.浙江大学智能交通研究所,浙江 杭州 310058
    5.重庆交通大学经济与管理学院,重庆 400074
    6.长安大学经济与管理学院,陕西 西安 710064
    7.华中科技大学人工智能与自动化学院,湖北 武汉 430074
    8.中国矿业大学数学学院,江苏 徐州 221116
    9.北京师范大学珠海校区复杂系统国际科学中心,广东 珠海 519087
    10.同济大学交通运输工程学院,上海 201804
    11.北京化工大学经济管理学院,北京 100029
    12.北京航空航天大学经济管理学院,北京 100191
    13.大连理工大学经济管理学院,辽宁 大连 116024
    14.杭州市北京航空航天大学国际创新研究院,浙江 杭州 311115
  • 收稿日期:2024-09-16 修回日期:2024-11-28 出版日期:2025-01-25 发布日期:2025-02-14
  • 通讯作者: 李大庆 E-mail:daqingl@buaa.edu.cn
  • 基金资助:
    国家自然科学基金项目(72225012)

Health Management of Urban Transportation System from the Perspective of Complexity

Shiyan Liu1, Guanwen Zeng2, Shaobo Sui1, Jinxiao Duan3, Junhao Chen1, Xiqun Chen4, Xianlong Ge5, Xiang Li6, Min Ouyang7, Hu Shao8, Jun Wu9, Xiangdong Xu10, Bowen Zhang11, Qiong Tian12, Jianjun Wu13, Daqing Li1,14()   

  1. 1.School of Reliability and Systems Engineering,Beihang University,Beijing 100191,China
    2.School of Systems Science,Beijing Jiaotong University,Beijing 100044,China
    3.School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China
    4.Institute of Intelligent Transportation Systems,Zhejiang University,Hangzhou 310058,China
    5.School of Economics and Management,Chongqing Jiaotong University,Chongqing 400074,China
    6.School of Economics and Management,Chang’An University,Xi’an 710064,China
    7.School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China
    8.School of Mathematics,China University of Mining and Technology,Xuzhou 221116,China
    9.International Academic Center of Complex Systems,Beijing Normal University,Zhuhai 519087,China
    10.College of Transportation Engineering,Tongji University,Shanghai 201804,China
    11.School of Economics and Management,Beijing University of Chemical Technology,Beijing 100029,China
    12.School of Economics and Management,Beihang University,Beijing 100191,China
    13.School of Economics and Management,Dalian University of Technology,Dalian 116024,China
    14.Hangzhou International Innovation Institute of Beihang University,Hangzhou 311115,China
  • Received:2024-09-16 Revised:2024-11-28 Online:2025-01-25 Published:2025-02-14
  • Contact: Daqing Li E-mail:daqingl@buaa.edu.cn

摘要:

随着城市化进程的加快,拥堵等“交通病”问题日益突出,城市交通系统健康管理需求愈发紧迫。针对当前城市交通系统健康管理中存在的健康能力评估不足、系统性病理认知缺乏,以及诊断手段条块化等问题,本文提出基于“复杂性”视角理解城市交通系统健康的内涵,初步形成城市交通系统健康管理理论,在此基础上,从系统层面构建包含健康评估、病理挖掘和智能诊断的城市交通系统健康管理框架。针对该框架,梳理了城市交通系统的健康能力评估方法、病理知识挖掘方法和系统性智能诊断手段,辅助系统性疾病的系统性治理决策,期望支撑城市交通系统健康的科学管理。

关键词: 复杂性, 城市交通系统, 系统健康管理, 渗流理论, 复杂系统管理

Abstract:

With the accelerated pace of urbanization, issues such as traffic congestion as “traffic diseases”, have become increasingly prominent, rendering the urgent need for effective health management of urban transportation systems. To address current challenges in urban transportation health management, including insufficient health capacity assessment, inadequate understanding of systemic pathological mechanisms, and fragmented diagnostic methods, “complexity” perspective is proposed to better comprehend the health of complex systems and to preliminarily develop health management theory for urban transportation systems. Accordingly, a system-level framework for urban transportation health management is developed, integrating health assessment, pathological knowledge discovery, and intelligent diagnosis. Methods for evaluating health capacity, uncovering systemic disease patterns, and intelligent diagnostics are systematically reviewed, supporting systematic decision-making in urban transportation systems and promoting the scientific management of urban transportation system health.

Key words: complexity, urban transportation system, system health management, percolation theory, complex system management

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