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相关论文: Towards Understanding the Impact of Human Mobility…

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We investigate at the subscale of the neighborhoods of a highly populated city the incidence of property crimes in terms of both the resident and the floating population. Our results show that a relevant allometric relation could only be…

Human mobility patterns deeply affect the dynamics of many social systems. In this paper, we empirically analyze the real-world human movements based GPS records, and observe rich scaling properties in the temporal-spatial patterns as well…

物理与社会 · 物理学 2015-06-15 Xiang-Wen Wang , Xiao-Pu Han , Bing-Hong Wang

Cities attract a daily influx of non-resident commuters, reflecting their roles within wider urban networks -- not as isolated places. However, it remains unclear how this interconnectivity shapes the way crime scales with population, given…

物理与社会 · 物理学 2025-10-28 Simon Puttock , Umberto Barros , Diego Pinheiro , Marcos Oliveira

Crime has been previously explained by social characteristics of the residential population and, as stipulated by crime pattern theory, might also be linked to human movements of non-residential visitors. Yet a full empirical validation of…

计算机与社会 · 计算机科学 2020-04-20 Cristina Kadar , Stefan Feuerriegel , Anastasios Noulas , Cecilia Mascolo

Many outputs of cities scale in universal ways, including infrastructure, crime, and economic activity. Through a mathematical model, this study investigates the interplay between such scaling laws in human organization and governmental…

物理与社会 · 物理学 2025-06-05 Bryce Morsky

The interaction of all mobile species with their environment hinges on their movement patterns: the places they visit and how frequently they go there. In human society, where the prevalent form of cohabitation is in cities, the highly…

物理与社会 · 物理学 2020-02-17 Markus Schläpfer , Michael Szell , Hadrien Salat , Carlo Ratti , Geoffrey B. West

Recently humanity has just crossed an important landmark in its history with the majority of people now living in large cities. This population concentration is capable of boosting the growth of positive indicators such as innovation, the…

物理与社会 · 物理学 2018-11-19 Carlos Caminha

Driven by access to large volumes of movement data, the study of human mobility has grown rapidly over the past decades. The field has shown that human mobility is scale-free, proposed models to generate scale-free moving distance…

物理与社会 · 物理学 2025-07-17 Louis Boucherie , Benjamin F. Maier , Sune Lehmann

The intrinsic factor that drives the human movement remains unclear for decades. While our observations from intra-urban and inter-urban trips both demonstrate a universal law in human mobility. Be specific, the probability from one…

物理与社会 · 物理学 2014-01-17 Xiao Liang , Jichang Zhao , Ke Xu

Uncovering the mechanism leading to the scaling law in human trajectories is of fundamental importance in understanding many spatiotemporal phenomena. We propose a hierarchical geographical model to mimic the real traffic system, upon which…

数据分析、统计与概率 · 物理学 2015-05-13 Xiaopu Han , Qiang Hao , Binghong Wang , Tao Zhou

Current characterization of flood exposure is largely based on residential location of populations; however, location of residence only partially captures the extent to which populations are exposed to flood. An important, though yet…

应用统计 · 统计学 2023-07-04 Bo Li , Chan Fan , Yu-Heng Chien , Chia-Wei Xsu , Ali Mostafavi

It is very important to understand urban mobility patterns because most trips are concentrated in urban areas. In the paper, a new model is proposed to model collective human mobility in urban areas. The model can be applied to predict…

物理与社会 · 物理学 2014-10-28 Xiao Liang , Jichang Zhao , Li Dong , Ke Xu

Migration plays a crucial role in urban growth. Over time, individuals opting to relocate led to vast metropolises like London and Paris during the Industrial Revolution, Shanghai and Karachi during the last decades and thousands of smaller…

物理与社会 · 物理学 2025-04-03 Rafael Prieto-Curiel , Carmen Cabrera-Arnau

We study the analysis of all the movements of the population on the basis of their mobility from one node to another, to observe, measure, and predict the impact of traffic according to this mobility. The frequency of congestion on roads…

物理与社会 · 物理学 2024-11-14 Henock M. Mboko , Mouhamadou A. M. T. Balde , Babacar M. Ndiaye

Understanding human mobility patterns -- how people move in their everyday lives -- is an interdisciplinary research field. It is a question with roots back to the 19th century that has been dramatically revitalized with the recent increase…

物理与社会 · 物理学 2017-02-08 Minjin Lee , Petter Holme

The massive amounts of geolocation data collected from mobile phone records has sparked an ongoing effort to understand and predict the mobility patterns of human beings. In this work, we study the extent to which social phenomena are…

物理与社会 · 物理学 2016-11-18 Nicolas Ponieman , Alejo Salles , Carlos Sarraute

In this work, we address the connection between population density centers in urban areas, and the nature of human flows between such centers, in shaping the vulnerability to the onset of contagious diseases. A study of 163 cities, chosen…

Human settlements on Earth are scattered in a multitude of shapes, sizes and spatial arrangements. These patterns are often not random but a result of complex geographical, cultural, economic and historical processes that have profound…

物理与社会 · 物理学 2021-06-03 Emanuele Strano , Filippo Simini , Marco De Nadai , Thomas Esch , Mattia Marconcini

Nowadays as the world population has become more interconnected and is relying on faster transportation methods, simplified connections and shorter commuting times, we witness a rapid increase in human mobility. In this situation unveiling…

社会与信息网络 · 计算机科学 2017-06-13 Karim Keramat Jahromi

Cities are typical dynamic complex systems that connect people and facilitate interactions. Revealing universal collective patterns behind spatio-temporal interactions between residents is crucial for various urban studies, of which we are…

物理与社会 · 物理学 2024-06-11 Chenxin Liu , Yu Yang , Bingsheng Chen , Tianyu Cui , Fan Shang , Jingfang Fan , Ruiqi Li
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