揭示人类流动性的社会经济维度

Uncovering the socioeconomic structure of spatial and social interactions in cities

The relationship between urban mobility, social networks and socioeconomic status is complex and difficult to apprehend, notably due to the lack of data. Here we use mobile phone data to analyze the socioeconomic structure of spatial and social interaction in the Chilean's urban system. Based on the concept of spatial and social events, we develop a methodology to assess the level of spatial and social interactions between locations according to their socioeconomic status. We demonstrate that people with the same socioeconomic status preferentially interact with locations and people with a sim…

Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data

Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pandemic impact human mobility. In all three countries, we find that following the implementation of mobility restriction measures, human movement decreased substantially. Importantly, we also uncover large and persistent differences in mobility reduction between wealth groups: on average, users in the top decile of wealth reduced their mobility up to twice as much as users in the bottom decile. For decision-makers seeki…

Computational Socioeconomics

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. The understanding of socioeconomic processes provides foundations to quantify global economic development, to map regional industrial structure, and to infer individual socioeconomic status. In this review, we will make a brief manifesto about a new interdisciplinary research field named Computational Socioeconomics, followed by detailed introduction about data resources, computational tools, data-driven methods, theoretical models and novel applications at …

揭示空间约束在物理移动与虚拟移动异同中的作用

Uncovering the role of spatial constraints in the differences and similarities between physical and virtual mobility

该研究对比物理与虚拟移动的统计模式，发现差异源于物理移动的空间经济约束，在无时间的地点序列空间二者模式一致，并提出Metropolis-Hastings型优化模型解释共同机制。

Diversity of individual mobility patterns and emergence of aggregated scaling laws

Uncovering human mobility patterns is of fundamental importance to the understanding of epidemic spreading, urban transportation and other socioeconomic dynamics embodying spatiality and human travel. According to the direct travel diaries of volunteers, we show the absence of scaling properties in the displacement distribution at the individual level,while the aggregated displacement distribution follows a power law with an exponential cutoff. Given the constraint on total travelling cost, this aggregated scaling law can be analytically predicted by the mixture nature of human travel under th…

跨城市尺度的人类移动性普适扩张规律

Universal expansion of human mobility across urban scales

本研究针对人类移动性缺乏统一关联理论的问题，通过网络模块分析个体日常轨迹，发现移动模块空间范围随离家距离亚线性扩张的普适标度律，且模块对应城市嵌套层级，打通了经典城市理论与移动性研究的关联。