交通运输系统工程与信息 ›› 2026, Vol. 26 ›› Issue (1): 239-251.DOI: 10.16097/j.cnki.1009-6744.2026.01.022

• 系统工程理论与方法 • 上一篇    下一篇

降雨扰动下外卖配送系统韧性度量方法

苑少伟,高维*,徐一康   

  1. 广州市交通规划研究院有限公司,广州510030
  • 收稿日期:2025-10-30 修回日期:2025-11-28 接受日期:2025-12-09 出版日期:2026-02-25 发布日期:2026-02-15
  • 作者简介:苑少伟(1986—),男,河北鸡泽人,高级工程师。
  • 基金资助:
    中央高校基本科研业务费专项资金(2572025BR31);黑龙江省哲学社会科学研究规划项目(25GLC020)。

Resilience Measurement Method for Takeaway Delivery Systems Under Rainfall Disturbance

YUAN Shaowei, GAO Wei*, XU Yikang   

  1. Guangzhou Transport Planning Research Institute Co Ltd, Guangzhou 510030, China
  • Received:2025-10-30 Revised:2025-11-28 Accepted:2025-12-09 Online:2026-02-25 Published:2026-02-15
  • Supported by:
    Fundamental Research Funds for the Central Universities (2572025BR31);Heilongjiang Provincial Philosophy and Social Sciences Research Planning Project(25GLC020)。

摘要: 即时消费需求的快速增长使外卖配送成为城市居民日常生活的重要保障。以电动自行车为主的外卖配送在雨天面临效率骤降、订单延迟与履约率下降等问题。有限的研究分析外卖配送系统韧性并解决。本文提出基于链路可靠性与系统恢复概率的建模方法度量降雨扰动下的外卖配送系统韧性。根据服务效率与恢复时间构建配送链路韧性指标,刻画单次配送任务在降雨扰动下的性能变化与恢复特征;引入链路失效概率与系统恢复时间,建立配送系统韧性度量模型,量化不同降雨强度下外卖配送系统韧性。本文以广州市为例,采集624.37万条有效的外卖配送轨迹与订单数据。研究结果表明,降雨条件下,平均配送速度为10.8km·h-1,较无降雨下降22.3%;平均配送时间为13.2min,延长16.3%;在小雨、中雨和大雨条件下,配送链路韧性分别下降16%、18%和22%,其中,晚高峰降幅较其他时段低12.4%;降雨强度每增加10mm,系统韧性下降约1.4%;居住区周边外卖配送对降雨扰动最为敏感,其韧性下降幅度较其他区域平均高出50%以上。

关键词: 城市交通, 系统韧性, 链路可靠性, 外卖配送, 降雨扰动

Abstract: The rapid growth of instant consumption has made food delivery an essential component of urban daily life. However, delivery operations that rely primarily on electric two-wheelers are highly vulnerable to rainfall, leading to substantial declines in delivery speed, increased delays, and reduced fulfillment reliability. Existing research offers limited insights into the resilience of food delivery systems under weather disruptions. This study develops a resilience assessment framework for rainfall-affected delivery operations based on link reliability and system-level recovery probability. A delivery-link resilience metric is created to measure the performance degradation and subsequent recovery at the task level, while a system resilience model incorporating link failure probability and recovery duration is established to quantify resilience under varying rainfall intensities. Using 6.243 7 million valid delivery trajectories and order records collected in Guangzhou, the empirical analysis reveals that average delivery speed under rainfall decreases to 10.8 km·h-1, representing a 22.3 percent reduction compared with clear weather. Average delivery time increases to 13.2 minutes, an increase of 16.3 percent. Delivery-link resilience decreases by 16 percent in light rain, 18 percent in moderate rain, and 22 percent in heavy rain, with the reduction during the evening peak approximately 12.4 percent lower than in other periods. System-level resilience declines by about 1.4 percent for every 10 mm increase in rainfall intensity. Residential areas exhibit the highest sensitivity to rainfall, with resilience reductions exceeding those of other urban functional areas by more than 50 percent.

Key words: urban transportation, system resilience, link reliability, food delivery, rainfall disruptions

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