地铁突发事件中行李遗弃与结伴行为对疏散效能的耦合影响

doi:10.16097/j.cnki.1009-6744.2025.06.018

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (6): 197-208.DOI: 10.16097/j.cnki.1009-6744.2025.06.018

地铁突发事件中行李遗弃与结伴行为对疏散效能的耦合影响

张立业¹，马月熙¹ ，马志成²，赵丰磊¹ ，焦春硕^*1

1. 山东科技大学，交通学院，山东青岛266590；2.中国石油大学(华东)，机电工程学院，山东青岛266590

收稿日期:2025-08-06 修回日期:2025-09-22 接受日期:2025-09-28 出版日期:2025-12-25 发布日期:2025-12-24
作者简介:张立业(1981—)，男，山东临沂人，教授，博士。
基金资助:
泰山学者项目基金(taqn202103077)。

Coupled Effects of Luggage Abandonment and Companion Behavior on Evacuation Efficiency in Subway Emergencies

ZHANG Liye¹, MA Yuexi¹, MA Zhicheng², ZHAO Fenglei¹, JIAO Chunshuo^*1

1. College of Transportation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China; 2. College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266590, Shandong, China

Received:2025-08-06 Revised:2025-09-22 Accepted:2025-09-28 Online:2025-12-25 Published:2025-12-24
Supported by:
Shandong Taishan Scholars Program(taqn202103077)。

摘要/Abstract

摘要： 地铁大规模疏散效能优化是轨道交通安全的关键，但现有模型因均质化假设和单一人群类型划分，缺乏复杂人群研究。为此，本文提出改进的社会力模型，构建结伴行为-行李携带-遗弃行为三维耦合动态仿真框架。基于青岛站1081份问卷数据校准参数，通过AnyLogic对廊道转角与车厢出入口关键瓶颈区域进行仿真。首先，依据实证数据设定行李丢弃率和结伴行人占比，建立结伴群体、携带行李箱行人、普通行人及遗弃行李箱4类异质主体交互规则，改进单因素模型对复杂人群行为的简化处理；然后，基于地铁转角几何特征与列车尺寸构建模拟疏散场景；最终，通过仿真对比验证表明，在转角与车厢区域耦合模型较单因素模型疏散时间差10s以上，在多耦合疏散模拟中，结伴行人疏散受影响最大，延误时间达携带行李者的1.5倍（转角区）和1.66倍（车厢区）。

关键词: 城市交通, 社会力模型改进, 仿真模拟, 地铁行人疏散

Abstract: The optimization of large-scale evacuation efficiency in subways is crucial to rail transit safety. However, existing models lack research on complex crowds due to their homogenization assumptions and single-type classification of crowds. To address this, this paper proposes an improved social force model and constructs a three-dimensional coupled dynamic simulation framework involving companion behavior, luggage carrying, and luggage abandonment behavior. Parameters are calibrated based on 1081 questionnaire data from Qingdao Railway Station, and simulations are conducted on key bottleneck areas such as corridor corners and carriage entrances/exits using AnyLogic. The luggage abandonment rates and the proportion of pedestrians traveling in groups are defined based on the empirical data. The interaction rules for four types of heterogeneous subjects, namely companion groups, pedestrians carrying suitcases, ordinary pedestrians, and abandoned suitcases, are established to improve the simplified handling of complex crowd behaviors in single-factor models. A simulated evacuation scenario is established based on the geometric characteristics of subway corners and train sizes. The simulation comparison and verification show that in corner and carriage areas, the coupled model has an evacuation time difference of more than 10 seconds compared with the single-factor model. In multi-coupling evacuation simulations, the evacuation of pedestrians traveling in groups is the most affected, with the delay time reaching 1.5 times (in corner areas) and 1.66 times (in carriage areas) of those carrying luggage.

Key words: urban traffic, social forces model improvements, simulation and emulation, subway pedestrian evacuation

中图分类号:

U491.1+2

张立业, 马月熙, 马志成, 赵丰磊, 焦春硕. 地铁突发事件中行李遗弃与结伴行为对疏散效能的耦合影响[J]. 交通运输系统工程与信息, 2025, 25(6): 197-208.

ZHANG Liye, MA Yuexi, MA Zhicheng, ZHAO Fenglei, JIAO Chunshuo. Coupled Effects of Luggage Abandonment and Companion Behavior on Evacuation Efficiency in Subway Emergencies[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(6): 197-208.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2025.06.018

http://www.tseit.org.cn/CN/Y2025/V25/I6/197

参考文献

[1]董书衡.地铁疏散人员行为特征及应急疏散仿真[D]. 郑州:郑州大学,2017. [DONG S H. Personnel behavior characteristics and emergency evacuation simulation of subway evacuation[D].Zhengzhou: Zhengzhou University, 2017.]

[2] SINGH H, ARTER R, DODD L, et al. Modelling subgroup behaviour in crowd dynamics DEM simulation [J]. Applied Mathematical Modelling, 2009, 33(12): 4408-4423.

[3]张磊,尤艳艳,赵晓安,等.体育场馆疏散过程中小团体行为的仿真研究[J].中国安全生产科学技术,2010, 6(5): 53-59. [ZHANG L, YOU Y Y, ZHAO X A, et al. Simulation of sub-group behavior of evacuation in sports stadium[J]. Journal of Safety Science and Technology, 2010, 6(5): 53-59.]

[4]樊笑笑, 毛占利, 苏鑫, 等. 基于DEMATEL-ISM MICMAC方法的人群疏散中小群体影响因素研究[J]. 安全,2024, 45(10): 88-96. [FAN X X, MAO Z L, SU X, et al. Study on the influencing factors of small groups in crowd evacuation based on DEMATEL-ISM-MICMAC method[J]. Safety & Security, 2024, 45(10): 88-96.]

[5]HUANG L, GONG J, LI W, et al. Social force model based group behavior simulation in virtual geographic environments[J]. ISPRS International Journal of Geo Information, 2018, 7(2): 79.

[6] 孙华锴.考虑恐慌情绪的人群疏散行为模型研究[D]. 长沙: 中南大学,2022. [SUN H K. Study on the crowd evacuation behavior model considering panin emotion [D]. Changsha: Central South University, 2022.]

[7]BODE N W F, HOLL S, MEHNER W, et al. Disentangling the impact of social groups on response times and movement dynamics in evacuations[J]. PloS One, 2015, 10(3): e0121227.

[8]vON KRUCHTEN C, MULLER F, SVACHIY A, et al. Empirical study of the influence of social groups in evacuation scenarios[M]. Cham: Springer International Publishing, 2016.

[9] 张博思.典型行李负重对步行疏散速度影响实验研究[J]. 消防科学与技术,2021, 40(6): 837-842. [ZHANG B S. Experimental study on the influence of baggage weight on evacuation speed[J]. Fire Science and Technology, 2021, 40(6): 837-842.]

[10] SHI Z, ZHANG J, REN X, et al. Quantifying the impact of luggage on pedestrian walking and running movements [J]. Safety Science, 2020, 130: 104856.

[11] HELBING D, MOLNAR P. Social force model for pedestrian dynamics[J]. Physical Review E, 1995, 51(5): 4282.

[12] FRIDMAN J, BARRETT L F, WORMWOOD J B, et al. Applying the theory of constructed emotion to police decision making[J]. Frontiers in Psychology, 2019, 10: 1946.

[13] PAN Z, WEI Q, WANG H. Agent-based simulation of hindering effect of small group behavior on elevated interval evacuation time along urban rail transit[J]. Travel Behaviour and Society, 2021, 22: 262-273.

[14] XU D, WANG J, LIU J, et al. A simulation study on the impact of abandoned trolley cases on pedestrian evacuation[J]. KSCE Journal of Civil Engineering, 2023, 27(3): 1340-1349.

[15] 张布川.基于社会力模型的广州南站应急疏散仿真研究[D]. 广州: 华南理工大学, 2020. [ZHANG B C. Emergency evacuation simulation at Guangzhou south railway station based on the social force model[D]. Guangzhou: South China University of Technology, 2020.]

[16] ZHANG L, WEN T, KONG D, et al. Modeling the evacuation behavior of subway pedestrians with the consideration of luggage abandonment under emergency scenarios[J]. Transportation Research Part E: Logistics and Transportation Review, 2024, 189: 103672.

[17] 郝妍熙,刘巍,胡华,等.改进的L型通道行人转弯行为仿真模型[J]. 交通运输系统工程与信息,2025,25(3): 383-392. [HAO Y X, LIU W, HU H, et al. Improved simulation model of pedestrian turning behavior in L shaped walking passages[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(3): 383-392.]

地铁突发事件中行李遗弃与结伴行为对疏散效能的耦合影响

Coupled Effects of Luggage Abandonment and Companion Behavior on Evacuation Efficiency in Subway Emergencies

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	张涛, 宋彤彤, 程龙, 贾庆林. 生命周期视角下建成环境对居民出行强度的影响机制[J]. 交通运输系统工程与信息, 2025, 25(6): 109-117.
[2]	牟亮, 康彧瑞, 闫梓续, 朱广宇. 考虑数据和模型不确定性的城轨线网客流短时预测方法[J]. 交通运输系统工程与信息, 2025, 25(6): 118-128.
[3]	朱昌锋, 高硕悦, 王傑, 符云琪, 成琳娜, 匡荣杰. 考虑乘客出行特性的城轨与市域铁路贯通运营开行方案研究[J]. 交通运输系统工程与信息, 2025, 25(6): 129-142.
[4]	刘斌, 赵靳辉, 田志强, 马超凡, 梁辉, 李和壁. 基于灵活编组的城市轨道交通大小交路列车开行方案优化[J]. 交通运输系统工程与信息, 2025, 25(6): 143-152.
[5]	张龙豪, 徐瑞华, 单奕嘉, 蓝阳泽. 网络整体效能导向的城轨线路运能协同优化配置[J]. 交通运输系统工程与信息, 2025, 25(6): 153-164.
[6]	闫菲, 姚向明, 韩梅, 陈超, 赵鹏. 跨线运营模式下城轨列车运行图协同编制模型[J]. 交通运输系统工程与信息, 2025, 25(6): 165-174.
[7]	刘晨辉, 陶梦鑫. 基于自动售检票数据的地铁换乘站换乘时间分析[J]. 交通运输系统工程与信息, 2025, 25(6): 175-184.
[8]	李贵阳, 谢秉磊, 李晓丹. 考虑公交替代效应的城市轨道交通网络级联失效分析[J]. 交通运输系统工程与信息, 2025, 25(6): 185-196.
[9]	王连震, 庄涵颖, 王宇萍, 王宝杰. 考虑空间认知能力和恐慌传播的地铁车站应急疏散模型[J]. 交通运输系统工程与信息, 2025, 25(6): 209-219.
[10]	赵樱, 梁金鹏, 鲍月. 考虑乘客换乘的校园公交线路设计优化[J]. 交通运输系统工程与信息, 2025, 25(6): 220-228.
[11]	刘路, 郑浩龙, 李明高, 朱宇婷, 吴珂琪. 建成环境对不同群体公交出行的非线性影响研究[J]. 交通运输系统工程与信息, 2025, 25(6): 229-238.
[12]	高万晨, 路世昌, 赵娅彤, 刘锴. 考虑分段充电策略的电动公交时刻表和车辆调度整体优化[J]. 交通运输系统工程与信息, 2025, 25(6): 239-248.
[13]	胡宝雨, 刘文磊, 程国柱. 区间重叠下多线公交车辆调度和泊位设置联合优化[J]. 交通运输系统工程与信息, 2025, 25(6): 249-264.
[14]	吴静娴, 管厚杰, 李潇, 赵靖. 建成环境对电动汽车充电行为的非线性影响及交互效应[J]. 交通运输系统工程与信息, 2025, 25(6): 276-284.
[15]	韩艳, 袁昌银, 唐心恬, 关宏志. 考虑心理因素的自动驾驶车用户停车选择行为分析[J]. 交通运输系统工程与信息, 2025, 25(5): 72-82.