The spatiotemporal scaling laws of urban population dynamics
Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities...
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Published in | Nature communications Vol. 16; no. 1; pp. 2881 - 14 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Nature Publishing Group UK
24.03.2025
Nature Publishing Group Nature Portfolio |
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Abstract | Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities and regions worldwide combined with a detrended fractal analysis to uncover a universal spatiotemporal scaling law that governs urban population fluctuations. This law reveals the scale invariance of these fluctuations, spanning from city centers to peripheries over both time and space. Moreover, we show that at any given location, fluctuations obey a time-based scaling law characterized by a spatially decaying exponent, which quantifies their relationship with urban structure. These interconnected discoveries culminate in a robust allometric equation that links population dynamics with urban densities, providing a powerful framework for predicting and managing the complexities of urban human activities. Collectively, this study paves the way for more effective urban planning, transportation strategies, and policies grounded in population dynamics, thereby fostering the development of resilient and sustainable cities.
Urban populations ebb and flow as the pulse of human mobility reshapes the cityscape. This paper shows a spatiotemporal scaling laws revealing hidden patterns in these dynamic shifts, linking them to the urban fabric’s structure, density, and functionality. |
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AbstractList | Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities and regions worldwide combined with a detrended fractal analysis to uncover a universal spatiotemporal scaling law that governs urban population fluctuations. This law reveals the scale invariance of these fluctuations, spanning from city centers to peripheries over both time and space. Moreover, we show that at any given location, fluctuations obey a time-based scaling law characterized by a spatially decaying exponent, which quantifies their relationship with urban structure. These interconnected discoveries culminate in a robust allometric equation that links population dynamics with urban densities, providing a powerful framework for predicting and managing the complexities of urban human activities. Collectively, this study paves the way for more effective urban planning, transportation strategies, and policies grounded in population dynamics, thereby fostering the development of resilient and sustainable cities.Urban populations ebb and flow as the pulse of human mobility reshapes the cityscape. This paper shows a spatiotemporal scaling laws revealing hidden patterns in these dynamic shifts, linking them to the urban fabric’s structure, density, and functionality. Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities and regions worldwide combined with a detrended fractal analysis to uncover a universal spatiotemporal scaling law that governs urban population fluctuations. This law reveals the scale invariance of these fluctuations, spanning from city centers to peripheries over both time and space. Moreover, we show that at any given location, fluctuations obey a time-based scaling law characterized by a spatially decaying exponent, which quantifies their relationship with urban structure. These interconnected discoveries culminate in a robust allometric equation that links population dynamics with urban densities, providing a powerful framework for predicting and managing the complexities of urban human activities. Collectively, this study paves the way for more effective urban planning, transportation strategies, and policies grounded in population dynamics, thereby fostering the development of resilient and sustainable cities.Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities and regions worldwide combined with a detrended fractal analysis to uncover a universal spatiotemporal scaling law that governs urban population fluctuations. This law reveals the scale invariance of these fluctuations, spanning from city centers to peripheries over both time and space. Moreover, we show that at any given location, fluctuations obey a time-based scaling law characterized by a spatially decaying exponent, which quantifies their relationship with urban structure. These interconnected discoveries culminate in a robust allometric equation that links population dynamics with urban densities, providing a powerful framework for predicting and managing the complexities of urban human activities. Collectively, this study paves the way for more effective urban planning, transportation strategies, and policies grounded in population dynamics, thereby fostering the development of resilient and sustainable cities. Abstract Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities and regions worldwide combined with a detrended fractal analysis to uncover a universal spatiotemporal scaling law that governs urban population fluctuations. This law reveals the scale invariance of these fluctuations, spanning from city centers to peripheries over both time and space. Moreover, we show that at any given location, fluctuations obey a time-based scaling law characterized by a spatially decaying exponent, which quantifies their relationship with urban structure. These interconnected discoveries culminate in a robust allometric equation that links population dynamics with urban densities, providing a powerful framework for predicting and managing the complexities of urban human activities. Collectively, this study paves the way for more effective urban planning, transportation strategies, and policies grounded in population dynamics, thereby fostering the development of resilient and sustainable cities. Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities and regions worldwide combined with a detrended fractal analysis to uncover a universal spatiotemporal scaling law that governs urban population fluctuations. This law reveals the scale invariance of these fluctuations, spanning from city centers to peripheries over both time and space. Moreover, we show that at any given location, fluctuations obey a time-based scaling law characterized by a spatially decaying exponent, which quantifies their relationship with urban structure. These interconnected discoveries culminate in a robust allometric equation that links population dynamics with urban densities, providing a powerful framework for predicting and managing the complexities of urban human activities. Collectively, this study paves the way for more effective urban planning, transportation strategies, and policies grounded in population dynamics, thereby fostering the development of resilient and sustainable cities. Human mobility is becoming increasingly complex in urban environments. However, our fundamental understanding of urban population dynamics, particularly the pulsating fluctuations occurring across different locations and timescales, remains limited. Here, we use mobile device data from large cities and regions worldwide combined with a detrended fractal analysis to uncover a universal spatiotemporal scaling law that governs urban population fluctuations. This law reveals the scale invariance of these fluctuations, spanning from city centers to peripheries over both time and space. Moreover, we show that at any given location, fluctuations obey a time-based scaling law characterized by a spatially decaying exponent, which quantifies their relationship with urban structure. These interconnected discoveries culminate in a robust allometric equation that links population dynamics with urban densities, providing a powerful framework for predicting and managing the complexities of urban human activities. Collectively, this study paves the way for more effective urban planning, transportation strategies, and policies grounded in population dynamics, thereby fostering the development of resilient and sustainable cities. Urban populations ebb and flow as the pulse of human mobility reshapes the cityscape. This paper shows a spatiotemporal scaling laws revealing hidden patterns in these dynamic shifts, linking them to the urban fabric’s structure, density, and functionality. |
ArticleNumber | 2881 |
Author | Huang, Bo Li, Weiyu Wang, Qi Ryan Gong, Peng Batty, Michael Tan, Xingye Zhou, Yulun |
Author_xml | – sequence: 1 givenname: Xingye orcidid: 0000-0002-9890-6892 surname: Tan fullname: Tan, Xingye organization: Department of Geography, The University of Hong Kong – sequence: 2 givenname: Bo orcidid: 0000-0002-5063-3522 surname: Huang fullname: Huang, Bo email: bohuang@hku.hk organization: Department of Geography, The University of Hong Kong, Computational Social Science Laboratory, Faculty of Social Science, The University of Hong Kong, Urban Systems Institute, The University of Hong Kong, Department of Urban Planning and Design, The University of Hong Kong – sequence: 3 givenname: Michael orcidid: 0000-0002-9931-1305 surname: Batty fullname: Batty, Michael organization: The Bartlett Centre for Advanced Spatial Analysis, University College London – sequence: 4 givenname: Weiyu surname: Li fullname: Li, Weiyu organization: School of Mathematical Sciences, Suzhou University of Science and Technology – sequence: 5 givenname: Qi Ryan orcidid: 0000-0001-6804-1173 surname: Wang fullname: Wang, Qi Ryan organization: Department of Civil and Environmental Engineering, Northeastern University – sequence: 6 givenname: Yulun surname: Zhou fullname: Zhou, Yulun organization: Department of Urban Planning and Design, The University of Hong Kong – sequence: 7 givenname: Peng orcidid: 0000-0003-1513-3765 surname: Gong fullname: Gong, Peng organization: Department of Geography, The University of Hong Kong, Urban Systems Institute, The University of Hong Kong |
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Title | The spatiotemporal scaling laws of urban population dynamics |
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