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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

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

This article analyzes the complex geometry of urban transportation networks as a gateway to understanding their encompassing urban systems. Using a proposed ring-buffer approach and applying it to 50 urban areas in the United States, we…

物理与社会 · 物理学 2015-07-20 Farideddin Peiravian , Sybil Derrible

Understanding of the mechanisms driving our daily face-to-face encounters is still limited; the field lacks large-scale datasets describing both individual behaviors and their collective interactions. However, here, with the help of travel…

物理与社会 · 物理学 2013-08-07 Lijun Sun , Kay W. Axhausen , Der-Horng Lee , Xianfeng Huang

Advances in public transit modeling and smart card technologies can reveal detailed contact patterns of passengers. A natural way to represent such contact patterns is in the form of networks. In this paper we utilize known contact patterns…

离散数学 · 计算机科学 2019-08-22 Laszlo Hajdu , Andras Bota , Miklos Kresz , Alireza Khani , Lauren M. Gardner

Human mobility patterns are surprisingly structured. In spite of many hard to model factors, such as climate, culture, and socioeconomic opportunities, aggregate migration rates obey a universal, parameter-free, `radiation' model. Recent…

Commuting is a key mechanism that governs the dynamics of cities. Despite its importance, very little is known of the properties and mechanisms underlying this crucial urban process. Here, we capitalize on $\sim$ 50 million individuals'…

物理与社会 · 物理学 2022-04-28 Lei Dong , Paolo Santi , Yu Liu , Siqi Zheng , Carlo Ratti

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 city is a complex system that evolves through its inherent social and economic interactions. Mediating the movements of people and resources, urban street networks offer a spatial footprint of these activities; consequently their…

物理与社会 · 物理学 2018-04-19 Minjin Lee , Hugo Barbosa , Hyejin Youn , Petter Holme , Gourab Ghoshal

Tourists tend to visit multiple destinations out of their variety-seeking motivations in their trips. Thus, it is critical to discover travel patterns involving multi-destinations in tourism research. Existing relevant research most relied…

社会与信息网络 · 计算机科学 2022-06-01 Yan Luo

Communication devices (mobile networks, social media platforms) are produced digital traces for their users either voluntarily or not. This type of collective data can give powerful indications on their effect on urban systems design and…

社会与信息网络 · 计算机科学 2018-07-18 Suhad Faisal Behadili , Cyrille Bertelle , Loay E. George

Studies using massive, passively data collected from communication technologies have revealed many ubiquitous aspects of social networks, helping us understand and model social media, information diffusion, and organizational dynamics. More…

物理与社会 · 物理学 2015-02-04 Jameson L. Toole , Carlos Herrera-Yague , Christian M. Schneider , Marta C. Gonzalez

The advent of geographic online social networks such as Foursquare, where users voluntarily signal their current location, opens the door to powerful studies on human movement. In particular the fine granularity of the location data, with…

Human mobility is a fundamental process underpinning socioeconomic life and urban structure. Classic theories, such as egocentric activity spaces and central place theory, provide crucial insights into specific facets of movement, like…

物理与社会 · 物理学 2025-05-22 Lu Zhong , Lei Dong , Qi Wang , Chaoming Song , Jianxi Gao

A range of early studies have been conducted to illustrate human mobility patterns using different tracking data, such as dollar notes, cell phones and taxicabs. Here, we explore human mobility patterns based on massive tracking data of US…

数据分析、统计与概率 · 物理学 2011-08-08 Bin Jiang , Tao Jia

Most cities in the US and in the world were organized around car traffic. In particular, large structures such as urban freeways or ring roads were built for reducing car traffic congestion. With the evolution of public transportation,…

物理与社会 · 物理学 2023-03-29 Erwan Taillanter , Marc Barthelemy

The results of transportation infrastructure network analyses have been used to analyze complex networks in a topological context. However, most modeling approaches, including those based on complex network theory, do not fully account for…

物理与社会 · 物理学 2016-04-20 Qi Xu , Baohua Mao , Yun Bai

The spatial arrangement of urban hubs and centers and how individuals interact with these centers is a crucial problem with many applications ranging from urban planning to epidemiology. We utilize here in an unprecedented manner the large…

物理与社会 · 物理学 2015-05-18 Camille Roth , Soong Moon Kang , Michael Batty , Marc Barthelemy

Despite their importance for urban planning, traffic forecasting, and the spread of biological and mobile viruses, our understanding of the basic laws governing human motion remains limited thanks to the lack of tools to monitor the time…

物理与社会 · 物理学 2009-11-13 M. C. Gonzalez , C. A. Hidalgo , A. -L. Barabasi

Urban mobility is a multi-entity system that involves travelers, transport modes, and infrastructure. Beyond conventional origin/destination analysis, this paper investigates how process mining can structure and interpret mobility behavior…

社会与信息网络 · 计算机科学 2026-02-16 Khristina Filonchik , Jose Pedro Pinto , Flávio L. Pinheiro , Fernando Bacao
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