TY - JOUR
T1 - Urban dynamics through the lens of human mobility
AU - Xu, Yanyan
AU - Olmos, Luis E.
AU - Mateo, David
AU - Hernando, Alberto
AU - Yang, Xiaokang
AU - González, Marta C.
N1 - Funding Information:
We thank P. Wang for the data provided. This work was supported by Berkeley DeepDrive (BDD) and the ITS-SB1 Berkeley Statewide Transportation Research Program. Y.X. and X.Y. were also supported by the National Natural Science Foundation of China (62102258), the Shanghai Pujiang Program (21PJ1407300), the Shanghai Municipal Science and Technology Major Project (2021SHZDZX0102) and the Fundamental Research Funds for the Central Universities.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85164345970&partnerID=8YFLogxK
U2 - 10.1038/s43588-023-00484-5
DO - 10.1038/s43588-023-00484-5
M3 - Artículo
AN - SCOPUS:85164345970
SN - 2662-8457
VL - 3
SP - 611
EP - 620
JO - Nature Computational Science
JF - Nature Computational Science
IS - 7
ER -