With the outbreak of the COVID-19 pandemic, the use of Information and Communications Technology (ICT) came to dominate daily activities (e.g., e-working, e-shopping, and e-leisure). The intensive use of ICT might trigger higher levels of spatial fragmentation of daily activities, having significant consequences for planning purposes. This paper seeks to estimate how ICT use and habits affect the individuals’ spatial fragmentation patterns in urban contexts on post-COVID-19 societies, while controlling for socioeconomic and built environment characteristics. The city of Alcalá de Henares (Madrid Metropolitan Area, Spain) serves as the case study. The research design is based on activity diaries obtained by face-to-face interviews, and Tobit and Poisson regression analyses are used to examine the relationships between spatial fragmentation measures (outcome variable) and ICT use (predictors). The results reveal that ICT might originate higher spatial fragmentation for work-related activities than for shopping-leisure purposes. For working activities, higher spatial fragmentation patterns are found among people with higher willingness to e-work and individuals who e-work at least once a month, but rather dependent on the occupation type. Regarding shopping and leisure activities, higher spatial fragmentation patterns are noted with car owners and more frequent consumers of online entertainment. The study provides insight into how ICT use is transforming spaces traditionally adapted for a single purpose into multifunctional spaces as well as the spatial effect of this phenomenon.

随着 COVID-19 大流行的爆发，信息和通信技术 (ICT) 的使用开始主导日常活动（例如，电子工作、电子购物和电子休闲）。ICT 的密集使用可能会引发日常活动的空间碎片化程度更高，对规划目的产生重大影响。本文旨在评估 ICT 的使用和习惯如何影响 COVID-19 后社会城市环境中个人的空间碎片化模式，同时控制社会经济和建筑环境特征。阿尔卡拉德埃纳雷斯市（西班牙马德里都会区）作为案例研究。研究设计基于通过面对面访谈获得的活动日记，Tobit 和 Poisson 回归分析用于检查空间碎片化措施（结果变量）和 ICT 使用（预测变量）之间的关系。结果表明，与购物休闲目的相比，与工作相关的活动相比，ICT 可能会产生更高的空间碎片化。对于工作活动，在电子工作意愿较高的人和每月至少进行一次电子工作的人中发现了较高的空间碎片化模式，但取决于职业类型。在购物和休闲活动方面，车主和更频繁的在线娱乐消费者注意到了更高的空间碎片化模式。