中国安全科学学报 ›› 2026, Vol. 36 ›› Issue (5): 296-303.doi: 10.16265/j.cnki.issn1003-3033.2026.05.1636

• 防灾减灾技术与工程 • 上一篇    下一篇

基于PSR和LBS数据的暴雨灾害公众应对行为评价

陈安滢1(), 叶智濠1, 姜文宇2,3,**(), 谭晓彤1   

  1. 1 暨南大学 应急管理学院, 广东 广州 510632
    2 深圳大学 土木与交通工程学院, 广东 深圳 518060
    3 自然资源部 大湾区地理环境监测重点实验室, 广东 深圳 518060
  • 收稿日期:2025-12-11 修回日期:2026-03-10 出版日期:2026-05-28
  • 通信作者:
    ** 姜文宇(1995—),男,江西南昌人,博士,讲师,主要从事防灾减灾与应急管理、计算机视觉与空间智能等方面的研究。E-mail:
  • 作者简介:

    陈安滢 (1992—),女,广东广州人,博士,讲师,主要从事灾害监测预警、舆情管理、风险沟通等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(72404104); 国家自然科学基金资助(42501093); 广东省自然科学基金面上项目资助(2025A1515010229)

Evaluation of public response behaviors for rainstorm disasters based on PSR model and LBS data

Chen Anying1(), Ye Zhihao1, Jiang Wenyu2,3,**(), Tan Xiaotong1   

  1. 1 School of Public Administration and Emergency Management, Ji'nan University, Guangzhou Guangdong 510632, China
    2 College of Civil and Transportation Engineering, Shenzhen University, Shenzhen Guangdong 518060, China
    3 MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen Guangdong 518060, China
  • Received:2025-12-11 Revised:2026-03-10 Published:2026-05-28

摘要:

为解决暴雨灾害公众应对行为量化评价难、与灾害风险适配程度不明晰的问题,以深圳“9·7”暴雨为例,基于“压力-状态-响应”(PSR)模型和公众位置服务(LBS)数据,从压力、状态和响应维度综合评价公众在灾害期间的应对行为,并建立响应适配指数,以衡量公众应对行为与暴雨灾害风险的适配程度。研究结果表明:相比于日常,公众在暴雨期间的出行行为存在相似模式,但强度有所减弱。在各时间阶段中,非高峰期的白天阶段响应效果最佳;在各行政区中,福田区和龙华区市民的响应程度最高,盐田区响应较弱;在各功能区类型中,学校和娱乐区域在暴雨期间的公众出行强度减少最为显著,响应最为积极,住宅与办公区域响应较弱。

关键词: 压力-状态-响应(PSR), 位置服务(LBS), 暴雨灾害, 公众应对行为, 行为评价, 出行强度

Abstract:

In order to address the challenges of quantitatively evaluating public behavioral responses to rainstorm disasters and clarifying the degree of their alignment with disaster risks, this study took the Shenzhen "9·7" rainstorm as a case study. Employing the PSR model and public LBS data, public response behaviors during the disaster were comprehensively evaluated from three dimensions: pressure, state, and response. A response adaptation index was established to measure the alignment between public behavior and rainstorm disaster risks. The findings indicate that, compared to normal conditions, the public's travel patterns during rainstorms exhibit similar spatial characteristics but with reduced intensity. Across all time phases, the response effectiveness is highest during non-peak daytime hours. Among different administrative districts, residents in Futian and Longhua District demonstrate the highest level of responsiveness, while those in Yantian District exhibit a relatively weaker response. Among various functional area types, schools and recreational areas show the most significant reduction in travel intensity, indicating the most positive public response, whereas residential and office areas showed a comparatively weaker response.

Key words: pressure-state-response (PSR), location-based service (LBS), rainstorm disasters, public behavioral responses, behavior evaluation, travel intensity

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