Centellegher Simone, De Nadai Marco, Tonin Marco, Lepri Bruno, Lucchini Lorenzo
Fondazione Bruno Kessler (FBK), Trento, Italy.
Institute for Data Science and Analytics, Bocconi University, 20100 Milan, Italy.
iScience. 2025 Jun 13;28(7):112892. doi: 10.1016/j.isci.2025.112892. eCollection 2025 Jul 18.
In recent years, human mobility research has discovered universal patterns capable of describing how people move. These regularities have been shown to partly depend on individual and environmental characteristics (e.g., gender, rural/urban, and country). In this work, we show that life-course events, such as job loss, can disrupt individual mobility patterns. Adversely affecting individuals' well-being and potentially increasing the risk of social and economic inequalities, we show that job loss drives a significant change in the exploratory behavior of individuals with changes that intensify over time since the job loss. Our findings shed light on the dynamics of employment-related behavior at scale, providing a deeper understanding of key components in human mobility regularities. These drivers can facilitate targeted social interventions to support the most vulnerable populations.
近年来，人类流动性研究发现了能够描述人们如何移动的普遍模式。这些规律已被证明部分取决于个人和环境特征（如性别、农村/城市以及国家）。在这项研究中，我们表明诸如失业等人生历程事件会扰乱个人的流动模式。我们发现，失业会对个人的探索行为产生重大影响，自失业以来，这种影响会随着时间的推移而加剧，进而对个人福祉产生不利影响，并可能增加社会和经济不平等的风险。我们的研究结果揭示了大规模就业相关行为的动态变化，有助于更深入地理解人类流动规律中的关键因素。这些驱动因素能够推动有针对性的社会干预措施，以支持最脆弱的人群。
