[HTML][HTML] Machine learning for spatial analyses in urban areas: a scoping review

Y Casali, NY Aydin, T Comes - Sustainable cities and society, 2022 - Elsevier
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

[HTML][HTML] A deep gravity model for mobility flows generation

F Simini, G Barlacchi, M Luca, L Pappalardo - Nature communications, 2021 - nature.com
The movements of individuals within and among cities influence critical aspects of our
society, such as well-being, the spreading of epidemics, and the quality of the environment …

[HTML][HTML] Urban remote sensing with spatial big data: A review and renewed perspective of urban studies in recent decades

D Yu, C Fang - Remote Sensing, 2023 - mdpi.com
During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …

“Perception bias”: Deciphering a mismatch between urban crime and perception of safety

F Zhang, Z Fan, Y Kang, Y Hu, C Ratti - Landscape and Urban Planning, 2021 - Elsevier
Crime and perception of safety are two intertwined concepts affecting the quality of life and
the economic development of a society. However, few studies have quantitatively examined …

Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China

X Wang, Y Zhang, D Yu, J Qi, S Li - Land Use Policy, 2022 - Elsevier
Investigating urban vibrancy and factors that impact urban vibrancy aids the understanding
of urban land use policies, provides solid foundation for scientific urban planning. The boom …

Urban dynamics through the lens of human mobility

Y Xu, LE Olmos, D Mateo, A Hernando… - Nature computational …, 2023 - nature.com
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 …

Understanding peace through the world news

V Voukelatou, I Miliou, F Giannotti, L Pappalardo - EPJ data science, 2022 - epjds.epj.org
Peace is a principal dimension of well-being and is the way out of inequity and violence.
Thus, its measurement has drawn the attention of researchers, policymakers, and …

[HTML][HTML] Exploring the relationships between land surface temperature and its influencing factors using multisource spatial big data: a case study in Beijing, China

X Wang, Y Zhang, D Yu - Remote Sensing, 2023 - mdpi.com
A better understanding of the relationship between land surface temperature (LST) and its
influencing factors is important to the livable, healthy, and sustainable development of cities …

Auditing the fairness of place-based crime prediction models implemented with deep learning approaches

J Wu, SM Abrar, N Awasthi, V Frías-Martínez - Computers, Environment and …, 2023 - Elsevier
Place-based crime prediction models implemented with deep learning leverage the spatio-
temporal patterns of historical crimes, together with built-environment factors, to predict …

Enhancing short-term crime prediction with human mobility flows and deep learning architectures

J Wu, SM Abrar, N Awasthi, E Frias-Martinez… - EPJ data …, 2022 - epjds.epj.org
Place-based short-term crime prediction models leverage the spatio-temporal patterns of
historical crimes to predict aggregate volumes of crime incidents at specific locations over …