Urban dynamics through the lens of human mobility

被引:0
|
作者
Yanyan Xu
Luis E. Olmos
David Mateo
Alberto Hernando
Xiaokang Yang
Marta C. González
机构
[1] Shanghai Jiao Tong University,MoE Key Laboratory of Artificial Intelligence, AI Institute
[2] University of California,Department of City and Regional Planning
[3] Lawrence Berkeley National Laboratory,Energy Technologies Area
[4] Universidad de Medellín,Facultad de Ciencias Básicas
[5] Kido Dynamics SA,Department of Civil and Environmental Engineering
[6] University of California,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The urban spatial structure represents the distribution of public and private spaces in cities and how people move within them. Although it usually evolves slowly, it can change quickly during large-scale emergency events, as well as due to urban renewal in rapidly developing countries. Here we present an approach to delineate such urban dynamics in quasi-real time through a human mobility metric, the mobility centrality index ΔKS. As a case study, we tracked the urban dynamics of eleven Spanish cities during the COVID-19 pandemic. The results revealed that their structures became more monocentric during the lockdown in the first wave, but kept their regular spatial structures during the second wave. To provide a more comprehensive understanding of mobility from home, we also introduce a dimensionless metric, KSHBT, which measures the extent of home-based travel and provides statistical insights into the transmission of COVID-19. By utilizing individual mobility data, our metrics enable the detection of changes in the urban spatial structure.
引用
收藏
页码:611 / 620
页数:9
相关论文
共 50 条
  • [1] Urban dynamics through the lens of human mobility
    Xu, Yanyan
    Olmos, Luis E.
    Mateo, David
    Hernando, Alberto
    Yang, Xiaokang
    Gonzalez, Marta C.
    NATURE COMPUTATIONAL SCIENCE, 2023, 3 (07): : 611 - 620
  • [2] Exposure to parks through the lens of urban mobility
    Ariel Salgado
    Ziyun Yuan
    Inés Caridi
    Marta C. González
    EPJ Data Science, 11
  • [3] Exposure to parks through the lens of urban mobility
    Salgado, Ariel
    Yuan, Ziyun
    Caridi, Ines
    Gonzalez, Marta C.
    EPJ DATA SCIENCE, 2022, 11 (01)
  • [4] Unveiling Urban and Human Mobility Dynamics through Semantic Trajectory Summarization
    Pugliese, Chiara
    PROCEEDINGS OF THE 2024 25TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT, MDM 2024, 2024, : 259 - 264
  • [5] Understanding Urban Human Mobility through Crowdsensed Data
    Zhou, Yuren
    Lau, Billy Pik Lik
    Yuen, Chau
    Tuncer, Bige
    Wilhelm, Erik
    IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (11) : 52 - 59
  • [6] Early Perspectives: Exploring the Potential Impacts of Autonomous Vehicles Through the Lens of Urban Mobility and Urban Form
    Sadeghpour M.
    Beyazıt E.
    Periodica Polytechnica Transportation Engineering, 2024, 52 (03): : 213 - 228
  • [7] Health through the urban lens
    Barondess, Jeremiah A.
    JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE, 2008, 85 (05): : 787 - 801
  • [8] Health Through the Urban Lens
    Jeremiah A. Barondess
    Journal of Urban Health, 2008, 85 : 787 - 801
  • [9] Representing Urban Functions through Zone Embedding with Human Mobility Patterns
    Yao, Zijun
    Fu, Yanjie
    Liu, Bin
    Hu, Wangsu
    Xiong, Hui
    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 3919 - 3925
  • [10] Population mobility and urban wastewater dynamics
    Atinkpahoun, Chrystelle N. H.
    Nang Dinh Le
    Pontvianne, Steve
    Poirot, Helene
    Leclerc, Jean-Pierre
    Pons, Marie-Noelle
    Soclo, Henri H.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 : 1431 - 1437