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Mobile and ubiquitous sensing of urban air quality has received increased attention as an economically and operationally viable means to survey atmospheric environment with high spatial-temporal resolution. This paper proposes a machine…

Machine Learning · Computer Science 2020-03-03 Jun Song , Ke Han

The mapping of populations socio-economic well-being is highly constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to…

Social and Information Networks · Computer Science 2017-10-31 Abdullah Almaatouq , Francisco Prieto-Castrillo , Alex Pentland

Urban economic vitality is a crucial indicator of a city's long-term growth potential, comprising key metrics such as the annual number of new companies and the population employed. However, modeling urban economic vitality remains…

Artificial Intelligence · Computer Science 2025-12-01 Xiaofeng Li , Xiangyi Xiao , Xiaocong Du , Ying Zhang , Haipeng Zhang

The rapid expansion of the on-demand economy has profoundly reshaped urban mobility and logistics, yet high-resolution trajectory data on delivery riders' consistent movements remains scarce. Here, we present a city-scale, high-resolution…

Physics and Society · Physics 2025-07-17 Chengbo Zhang , Yonglin Li , Zuopeng Xiao

Buildings, as fundamental man-made structures in urban environments, serve as crucial indicators for understanding various city function zones. Rapid urbanization has raised an urgent need for efficiently surveying building footprints and…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Zhuohong Li , Wei He , Jiepan Li , Hongyan Zhang

Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible. In a mobile crowdsensing system, it is paramount to incentivize smartphone users to provide…

Networking and Internet Architecture · Computer Science 2018-05-01 Francesco Restuccia , Pierluca Ferraro , Simone Silvestri , Sajal K. Das , Giuseppe Lo Re

Sensemaking using automatically extracted information from text is a challenging problem. In this paper, we address a specific type of information extraction, namely extracting information related to descriptions of movement. Aggregating…

Human-Computer Interaction · Computer Science 2022-04-21 Scott Pezanowski , Prasenjit Mitra , Alan M. MacEachren

High quality census data are not always available in developing countries. Instead, mobile phone data are becoming a trending proxy to evaluate population density, activity and social characteristics. They offer additional advantages for…

Physics and Society · Physics 2019-09-18 Hadrien Salat , Zbigniew Smoreda , Markus Schläpfer

Increasing evidence suggests that cities are complex systems, with structural and dynamical features responsible for a broad spectrum of emerging phenomena. Here we use a unique data set of human flows and couple it with information on the…

Physics and Society · Physics 2021-01-22 Riccardo Gallotti , Giulia Bertagnolli , Manlio De Domenico

The statistical properties of human mobility have been studied in the framework of complex systems physics. Taking advantage from the new datasets made available by the information and communication technologies, the distributions of…

Physics and Society · Physics 2024-10-03 Chiara Mizzi , Alessandro Fabbri , Giulio Colombini , Flavio Bertini , Armando Bazzani

Understanding the spatial dynamics of cars within urban systems is essential for optimizing infrastructure management and resource allocation. Recent empirical approaches for analyzing traffic patterns have gained traction due to their…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Kangan Qian , Jinyu Miao , Xinyu Jiao , Ziang Luo , Zheng Fu , Yining Shi , Yunlong Wang , Kun Jiang , Diange Yang

Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becomes crucial for building modern smart cities. In this paper,…

Machine Learning · Computer Science 2019-05-14 Jingyuan Wang , Junjie Wu , Ze Wang , Fei Gao , Zhang Xiong

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…

Physics and Society · Physics 2015-05-18 Camille Roth , Soong Moon Kang , Michael Batty , Marc Barthelemy

The individual movements of large numbers of people are important in many contexts, from urban planning to disease spreading. Datasets that capture human mobility are now available and many interesting features have been discovered,…

Physics and Society · Physics 2012-06-11 James P. Bagrow , Yu-Ru Lin

Traditional sources of population data, such as censuses and surveys, are costly, infrequent, and often unavailable in crisis-affected regions. Mobile phone application data offer near real-time, high-resolution insights into population…

Applications · Statistics 2025-09-04 Carmen Cabrera , Francisco Rowe

Urban population grows constantly. By 2050 two thirds of the world population will reside in urban areas. This growth is faster and more complex than the ability of cities to measure and plan for their sustainability. To understand what…

Computers and Society · Computer Science 2020-02-27 Eduardo Graells-Garrido , Irene Meta , Feliu Serra-Burriel , Patricio Reyes , Fernando M. Cucchietti

Profiting from the emergence of web-scale social data sets, numerous recent studies have systematically explored human mobility patterns over large populations and large time scales. Relatively little attention, however, has been paid to…

Understanding mobile traffic patterns of large scale cellular towers in urban environment is extremely valuable for Internet service providers, mobile users, and government managers of modern metropolis. This paper aims at extracting and…

Networking and Internet Architecture · Computer Science 2015-10-15 Huandong Wang , Fengli Xu , Yong Li , Pengyu Zhang , Depeng Jin

Technology development produces terabytes of data generated by hu- man activity in space and time. This enormous amount of data often called big data becomes crucial for delivering new insights to decision makers. It contains behavioral…

Social and Information Networks · Computer Science 2015-06-12 Zolzaya Dashdorj , Stanislav Sobolevsky

The world is witnessing a period of extreme growth and urbanization; cities in the 21st century became nerve centers creating economic opportunities and cultural values which make cities grow exponentially. With this rapid urban population…

Social and Information Networks · Computer Science 2017-02-12 Tahar Zanouda , Noora AL Emadi , Sofiane Abbar , Jaideep Srivastava