A multi-stage modeling framework for pedestrian exit choice: Decision-node identification and cross-scenario validation

IF 6.2 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-17 DOI:10.1016/j.ssci.2026.107151
Weiqiao Ruan , Jia Liu , Hongqin Tang , Jianping Zhu , Chang Liu
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引用次数: 0

Abstract

Accurately understanding and predicting pedestrian exit choice during evacuations is a critical scientific issue for enhancing public safety management. Addressing the limitations of existing studies in terms of data realism, incomplete process modeling, and cross-scenario applicability, this paper proposes a multi-stage modeling framework for pedestrian exit choice. Grounded in behavioral science theories, a stage division procedure and identification criteria based on decision nodes are developed. Furthermore, a video-based trajectory extraction and analysis method is introduced to construct large-scale structured pedestrian data, upon which stage-specific discrete choice models are employed to capture exit choice behaviors at different stages. Through cross-scenario case studies of daily routine egress in a metro station and emergency evacuation during an earthquake in a university library, the adaptability and effectiveness of the proposed framework are demonstrated. Results reveal significant scenario and stage dependence in evacuation behavior. Under normal conditions, pedestrian decision-making is guided by convenience, with visibility and distance being dominant factors. In contrast, during emergencies, the decision mode shifts toward efficiency, with flow speed emerging as a key determinant. Moreover, as evacuation progresses into later stages, pedestrians exhibit heightened crowding sensitivity and stronger herding behavior. Differentiated management strategies are proposed accordingly. Bootstrap resampling and agent-based simulations further confirm the robustness and predictive accuracy of the proposed framework. The main contribution of this study lies in establishing a systematic multi-stage evacuation modeling paradigm that links behavioral theory with predictive choice models, quantifies the behavioral shifts across both different scenarios and evacuation stages, and provides a methodological basis for analyzing the entire evacuation process.
行人出口选择的多阶段建模框架:决策节点识别和跨场景验证
准确理解和预测疏散过程中行人出口的选择是加强公共安全管理的关键科学问题。针对现有研究在数据真实性、过程建模不完整、跨场景适用性等方面的局限性,提出了一种行人出口选择的多阶段建模框架。在行为科学理论的基础上,提出了基于决策节点的阶段划分程序和识别准则。引入基于视频的轨迹提取与分析方法,构建大规模结构化行人数据,并在此基础上采用基于阶段的离散选择模型捕捉不同阶段的出口选择行为。通过对地铁车站日常疏散和大学图书馆地震时紧急疏散的跨场景案例研究,验证了该框架的适应性和有效性。结果表明,疏散行为具有明显的情景和阶段依赖性。在正常情况下,行人的决策以便利性为导向,能见度和距离是主导因素。相反,在紧急情况下,决策模式转向效率,流速成为关键的决定因素。此外,随着疏散进入后期阶段,行人表现出更强的拥挤敏感性和更强的羊群行为。并据此提出差异化经营策略。自举重采样和基于智能体的仿真进一步验证了该框架的鲁棒性和预测准确性。本研究的主要贡献在于建立了一个系统的多阶段疏散建模范式,将行为理论与预测选择模型联系起来,量化了不同情景和疏散阶段的行为变化,为分析整个疏散过程提供了方法论基础。
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来源期刊
Safety Science
Safety Science 管理科学-工程:工业
CiteScore
13.00
自引率
9.80%
发文量
335
审稿时长
53 days
期刊介绍: Safety Science is multidisciplinary. Its contributors and its audience range from social scientists to engineers. The journal covers the physics and engineering of safety; its social, policy and organizational aspects; the assessment, management and communication of risks; the effectiveness of control and management techniques for safety; standardization, legislation, inspection, insurance, costing aspects, human behavior and safety and the like. Papers addressing the interfaces between technology, people and organizations are especially welcome.
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