Confronting the escalating challenge of emergencies, the urban supply network of daily necessity is an important defense line for human well-being. This study introduces a groundbreaking approach that leverages mobile signaling data, departing from static regional data, to model large-scale and high-precision urban supply-demand network. Moreover, a significant stride in assessing network invulnerability is presented by incorporating cascading failure and emphasizing demand-side factors in attack strategy simulations. This approach marks a paradigm shift in network invulnerability simulation: moving from network topology characteristics to a human-centric approach, which helps better identify vulnerable zones. The model’s robustness is corroborated through simulations of major disaster scenarios. The results indicate that: 1) High-precision human mobility data promises large-scale urban supply-demand network modeling with high accuracy. 2) In regions characterized by greater vulnerability, the establishment of local supply networks demonstrates efficacy in mitigating the impacts of minor disasters. 3) During various stages of cascading failure, the leading factors contributing to community supply shortages vary, with population density being the predominant factor. This research propels the methodology forward, incorporating multi-scenario simulations to augment practicality, and offers valuable insights for urban supply system enhancement.

中文翻译：

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考虑紧急情况和动态需求的基于级联故障的日常必需品供应网络无毁建模


面对不断升级的紧急情况挑战，日常必需品的城市供应网络是人类福祉的重要防线。本研究介绍了一种开创性的方法，该方法利用移动信令数据，从静态区域数据出发，对大规模和高精度的城市供需网络进行建模。此外，通过在攻击策略模拟中纳入级联故障并强调需求侧因素，在评估网络无敌性方面取得了重大进展。这种方法标志着网络无敌仿真的范式转变：从网络拓扑特征转变为以人为中心的方法，这有助于更好地识别易受攻击区域。该模型的稳健性通过对重大灾难场景的模拟得到了证实。结果表明：1） 高精度的人类流动性数据有望实现高精度的大规模城市供需网络建模。2） 在脆弱性较强的地区，建立本地供应网络显示出减轻轻微灾害影响的有效性。3） 在级联破坏的不同阶段，导致社区供应短缺的主要因素各不相同，其中种群密度是主要因素。这项研究推动了该方法的发展，结合了多场景模拟以增强实用性，并为加强城市供应系统提供了有价值的见解。