大学校园人口流动模式研究

Shu-Min Zhang, Xiang Li
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引用次数: 2

摘要

揭示人类流动模式对于从城市规划到流行病控制的广泛实际应用至关重要。尽管已有大量关于人口流动模式的研究,通过实证分析和建模方法对人口流动动态进行了统计表征,但对人口流动行为驱动因素水平的研究仍然有限。本文主要研究了两种类型的人类流动行为:非自发流动和自发流动。基于某大学校园Wi-Fi接入记录,发现了这两种移动行为之间的统计差异,其中非自发移动行为表现出较少的异质性,但更具周期性,活动范围较小,表明在建模人类移动时嵌入这两种行为的必要性。
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Mobility patterns of human population among university campuses
Uncovering human mobility patterns is of vital importance to the widely practical applications ranging from urban planning to epidemic controlling. Although numerous previous studies regarding human mobility patterns have been carried out to statistically characterize the dynamics of human mobility in both empirical analysis and modelling approach, research on the level of driving factors of mobility behaviors is still limited. In this paper, we focus on two types of human mobility behaviors which are Non-Spontaneous Mobility and Spontaneous Mobility, respectively. Based on the Wi-Fi access records collected from a university campus, statistical distinctions have been uncovered between these two types of mobility behaviors, where non-spontaneous mobility behaviors display a less heterogeneous but more periodic pattern with a smaller activity range, suggesting the necessity of embedding these two types of behaviors when modelling human mobility.
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