交通运输部公路科学研究院智能交通研究中心,北京 100088
华北科技学院安全工程学院,河北三河 065201
河北省多场景水害链生事故智慧应急技术创新中心,河北三河 065201
交通运输部管理干部学院发展研究中心,河北三河 065201
北京市轨道交通指挥中心,北京 100101
北京市交通运输委员会,北京 100005
深圳市科安应急科技有限公司,深圳 518101
作者简介:周艳芳(1982—),女,副研究员,2012年毕业于北京交通大学交通运输规划与管理专业,工学博士,主要从事智能交通与规划研究工作,E-mail:yf. zh@rioh. cn。
通信作者:李健(1979—),男,副教授,高级工程师,2012年毕业于北京交通大学系统工程专业,工学博士,主要从事城市系统安全应急研究工作,E-mail:lijian@ncist. edu. cn。
收稿:2024-09-02,
修回:2025-02-12,
网络首发:2025-04-29,
纸质出版:2026-07-20
移动端阅览
周艳芳, 李健, 单丽辉, 等. 客流二像性阶跃相变及安全设计标准控参辨识[J]. 铁道标准设计, 2026,70(7):11-17.
ZHOU Yanfang, LI Jian, SHAN Lihui, et al. Passenger Flow Duality Stepwise Phase Transition and Identification of Control Parameters for Safety Design Standards[J]. Railway Standard Design, 2026, 70(7): 11-17.
周艳芳, 李健, 单丽辉, 等. 客流二像性阶跃相变及安全设计标准控参辨识[J]. 铁道标准设计, 2026,70(7):11-17. DOI: 10.13238/j.issn.1004-2954.202409020006.
ZHOU Yanfang, LI Jian, SHAN Lihui, et al. Passenger Flow Duality Stepwise Phase Transition and Identification of Control Parameters for Safety Design Standards[J]. Railway Standard Design, 2026, 70(7): 11-17. DOI: 10.13238/j.issn.1004-2954.202409020006.
【
目的
】在我国目前通行的设计规范中,
铁路及轨道交通车站疏散能力计算由需求量与通行能力控制参数组成,需求量由各种调查数据归纳与各类数学预测方法综合得到,受限于主客观条件,其量值变化区间较大,因此确定通行能力控制参数作为基础约束对车站客运安全与应急疏散水平的保障至为关键。【
方法
】在对强目的性通勤客流流体力学特征进行分析的基础上,应用大量实地调研数据进行分析挖掘,一是为消除行人流点层数据随机性的信息差,设计通行时长成本倍数指标进行数据透视,发现行人流的阶跃特征,并给出不同于现有基本图的行人流4阶段相位;二是在分析强目的性行人流流粒二像性与离散本质特征基础上归纳得到非线性函数关系式。【
结果
】综合通行时长倍数等进行数据归纳,对应相变区域给出行人流通行拥挤风险阶跃临界值。【
结论
】在分析现行疏散计算思路基础上,结合本研究结果并参照现行设计标准数值,给出控参取值建议,可以更加科学地计算车站疏散能力。
[
Objective
]
In the current design specifications of China,the evacuation capacity of railway and rail transit stations is determined by demand and capacity control parameters. The former is obtained from various survey data and mathematical prediction methods. Due to subjective and objective constraints,its value varies over a wide range. Therefore,determining the capacity control parameters as the basic constraints is crucial for ensuring the level of station passenger safety and emergency evacuation. [
Methods
]
Based on an analysis of the hydrodynamic characteristics of strongly purpose-driven commuter passenger flow,a large amount of field survey data was applied for analysis and mining. First,to eliminate the information gap caused by the randomness of point-level passenger flow data,a travel time cost multiple indicator was designed for data interpretation. This revealed the stepwise characteristics of passenger flow and led to the identification of the four-stage phases of passenger flow that differed from the existing fundamental diagram. Second,based on the analysis of the flow-particle duality and discrete nature of strongly purpose-driven passenger flow,a nonlinear functional relationship was derived. [
Results
]
By synthesizing data such as travel time multipliers,the stepwise critical values of passenger flow congestion risk were identified corresponding to the phase transition regions. [
Conclusion
]
Based on the analysis of the current evacuation calculation method,comb
ined with the results of this study and referenced values from current design standards,recommended values for control parameters are provided,which can enable a more scientific calculation of station evacuation capacity.
THOMPSON P A, MARCHANT E W. Computer and Fluid Modelling of Evacuation[J]. Safety Science, 1995, 18(4):277-289.
HELBING D, FARKAS I, VICSEK T. Simulating Dynamical Features of Escape Panic[J]. Nature, 2000, 407(6803):487-490.
马洁, 徐瑞华, 黄家骏.基于危险源影响的地铁车站乘客疏散仿真模型[J].系统工程理论与实践, 2016, 36(6):1585-1592.
MA Jie, XU Ruihua, HUANG Jiajun. Simulation of Pedestrian Evacuation Processes in a Metro Station Considering the Effect of Dangerous Source [J]. Systems Engineering-Theory and Practice, 2016, 36(6):1585-1592.
ABDELGHANY A, ABDELGHANY K, MAHMASSANI H, et al. Modeling Framework for Optimal Evacuation of Large-scale Crowded Pedestrian Facilities[J]. European Journal of Operational Research, 2014, 237(3):1105-1118.
KANG Z X, ZHANG L, LI K. An Improved Social Force Model for Pedestrian Dynamics in Shipwrecks[J]. Applied Mathematics and Computation, 2019, 348: 355-362.
美国交通研究委员会. 道路通行能力手册[M].任福田, 刘小明, 荣建, 译.北京:人民交通出版社, 2007:186-187.
美国交通运输研究委员会.公共交通通行能力和服务质量手册[M]. 杨晓光, 滕靖, 译. 北京:中国建筑工业出版社, 2010:394-399.
陈绍宽, 李思悦, 李雪, 等.地铁车站内乘客疏散时间计算方法研究[J].交通运输系统工程与信息, 2008, 8(4):101-107.
CHEN Shaokuan, LI Siyue, LI Xue, et al. Modeling Evacuation Time for Passengers from Metro Platforms[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(4):101-107.
陈绍宽, 刘爽, 肖雄, 等.基于M/G/c/c模型的地铁车站楼梯通道疏散能力瓶颈分析[J].铁道学报, 2012, 34(1):7-12.
CHEN Shaokuan, LIU Shuang, XIAO Xiong, et al. M/G/c/Cbased Model of Passenger Evacuation Capacity of Stairs and Corridors in Metro Stations[J]. Journal of the China Railway Society, 2012, 34(1):7-12.
贾洪飞, 杨丽丽, 唐明.综合交通枢纽内部行人流特性分析及仿真模型参数标定[J]. 交通运输系统工程与信息, 2009, 9 (5):117-123.
JIA Hongfei, YANG Lili, TANG Ming. Pedestrian Flow Characteristics Analysis and Model Parameter Calibration in Comprehensive Transport Terminal[J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9(5):117-123.
马文俊, 吴丽霞, 陆洋, 等.基于排队论的轨道交通车站平峰时期乘客疏散时间研究[J].铁道标准设计, 2016, 60(2):125-130.
MA Wenjun, WU Lixia, LU Yang, et al. Research on Evacuation Time from Rail Transit Station in Ordinary Period Based on Queue Theory[J].Railway Standard Design, 2016, 60(2):125-130.
吴贤国, 刘梦洁, 张立茂, 等.地铁车站人群集散能力瓶颈风险评价[J].铁道标准设计, 2016, 60(2):130-135.
WU Xianguo, LIU Mengjie, ZHANG Limao, et al. Risk Analysis of Bottleneck in Gathering and Distributing of Subway Station[J]. Railway Standard Design, 2016, 60(2):130-135.
郑霞忠, 向蕾蕾, 晋良海, 等.考虑人-环因素的地铁站疏散速度修正模型与仿真[J].中国安全科学学报, 2017, 27(8):19-24.
ZHENG Xiazhong, XIANG Leilei, JIN Lianghai, et al. A Model for Correcting Speed of Evacuation from Subway Station Considering Human-environment Factors[J]. China Safety Science Journal, 2017, 27(8): 19-24.
王妤甜, 李剑峰, 龚宝钐, 等.基于概率风险分析的地铁车站疏散性能评估[J].安全与环境学报, 2022, 22(5):2711-2719.
WANG Yutian, LI Jianfeng, GONG Baoshan, et al. Evacuation Performance Evaluation of Subway Stations Based on Probabilistic Risk Analysis[J]. Journal of Safety and Environment, 2022, 22 (5):2711-2719.
张继信, 黄东阳, 王东民, 等.基于组合赋权和TOPSIS-GRA法的城市地铁车站应急疏散能力评价[J]. 铁道标准设计, 2024, 68(7):178-184, 225.
ZHANG Jixin, HUANG Dongyang, WANG Dongmin, et al. Evaluation of Emergency Evacuation Capacity of Urban Subway Stations Based on Combined Weighting and TOPSIS-GRA Method[J]. Railway Standard Design, 2024, 68(7):178-184, 225.
唐靖媛, 曹威, 洪竞科.地铁域地下车站应急疏散影响因素研究[J].地下空间与工程学报, 2024, 20(5):1738-1750.
TANG Jingyuan, CAO Wei, HONG Jingke. Research on the Influencing Factors of Emergency Evacuation in Underground Stations of Metro Systems[J]. Chinese Journal of Underground Space and Engineering, 2024, 20(5):1738-1750.
朱孔金, 朱军, 王小艳, 等.考虑换乘通道利用的地铁换乘站行人疏散引导策略研究[J]. 安全与环境学报, 2024, 24(9):3548-3555.
ZHU Kongjin, ZHU Jun, WANG Xiaoyan, et al. Research on Pedestrian Evacuation Guidance Strategy of Subway Transfer Station Considering the Use of Transfer Channel[J]. Journal of Safety and Environment, 2024, 24(9):3548-3555.
惠阳, 余强, 王永岗, 等.地铁站应急疏散效率影响因素分析及优化策略[J].长安大学学报(自然科学版), 2024, 44(4):130-138.
HUI Yang, YU Qiang, WANG Yonggang, et al. Analysis of Factors Affecting Emergency Evacuation Efficiency in Subway Stations and Optimization Strategies[J]. Journal of Chang'an University (Natural Science Edition), 2024, 44(4):130-138.
姚小林, 陈俊敏, 叶海斌, 等.《地铁设计规范》中自动扶梯和人行楼梯通行能力折减系数的探讨[J]. 中国安全科学学报, 2010, 20(9):71-74.
YAO Xiaolin, CHEN Junmin, YE Haibin, et al. Discussion on Traffic Capacity Reduction Factor of the Escalators and Stairs in Code for Metro Design [J]. China Safety Science Journal, 2010, 20 (9):71-74.
翁小雄, 李俊.自动扶梯载客输送能力的实证分析[J].华南理工大学学报(自然科学版), 2011, 39(8):124-128.
WENG Xiaoxiong, LI Jun. Empirical Analysis of Escalator Capacity [J]. Journal of South China University of Technology (Natural Science Edition), 2011, 39(8):124-128.
孟宪强, 廖明军, 王凯英.轨道交通站内自动扶梯通行能力分析[J].上海海事大学学报, 2012, 33(3):42-45, 51.
MENG Xianqiang, LIAO Mingjun, WANG Kaiying. Analysis of Passenger Capacity of Escalator at Metro Station[J]. Journal of Shanghai Maritime University, 2012, 33(3):42-45, 51.
江锦涛, 高莉萍. 轨道交通自动扶梯疏散能力及运行模式探讨[J].都市快轨交通, 2019, 32(3):152-156.
JIANG Jintao, GAO Liping. Evacuation Capacity and Operation Mode of Elevator in Rail Transit[J]. Urban Rapid Rail Transit, 2019, 32(3):152-156.
吴甜甜, 蒲琪.地铁车站站台楼扶梯设置参数对行人疏散时间影响[J].城市轨道交通研究, 2024, 27(2):170-174.
WU Tiantian, PU Qi. Impact of Metro Station Platform Staircase and Escalator Setting Parameters on Pedestrian Evacuation Time[J]. Urban Mass Transit, 2024, 27(2):170-174.
廖文康, 楼晓雷, 胡明伟, 等.超深地铁换乘枢纽超长自动扶梯故障的客流疏散[J]. 深圳大学学报(理工版), 2024, 41 (6):703-711.
LIAO Wenkang, LOU Xiaolei, HU Mingwei, et al. Passenger Evacuation for Ultra-long Escalator Malfunctions under High Passenger Flow in Multi-level Ultra-deep Metro Interchange Hubs [J]. Journal of Shenzhen University (Science and Engineering), 2024, 41(6):703-711.
ZHANG H M, RITCHIE S G, JAYAKRISHNAN R. Coordinated Traffic-responsive Ramp Control via Nonlinear State Feedback [J]. Transportation Research Part C: Emerging Technologies, 2001, 9 (5):337-352.
PAPAGEORGIOU M, VIGOS G. Relating Time-occupancy Measurements to Space-occupancy and Link Vehicle-count[J]. Transportation Research Part C: Emerging Technologies, 2008, 16(1):1-17.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621