[HTML][HTML] Understanding urban heat vulnerability: Scientometric analysis of five decades of research

F Li, T Yigitcanlar, W Li, M Nepal, K Nguyen, F Dur - Urban Climate, 2024 - Elsevier
Abstract Urban Heat Vulnerability (UHV) has received increasing attention over the last two
decades due to the exacerbation of global warming and the Urban Heat Island (UHI) effect …

Spatial Modelling of Urban Wind Characteristics: Review of Contributions to Sustainable Urban Development

YS Liu, T Yigitcanlar, M Guaralda, K Degirmenci, A Liu - Buildings, 2024 - mdpi.com
Wind, a renewable resource with growing importance in the contemporary world, is
considered a capable tool for addressing some of the problems linked with rapid …

[HTML][HTML] Multi-region models built with machine and deep learning for predicting several heat-related health outcomes

J Boudreault, A Ruf, C Campagna… - Sustainable Cities and …, 2024 - Elsevier
As a result of climate change, populations worldwide will be exposed to more heat episodes.
To ensure a sustainable future, cutting-edge tools must be developed to predict the health …

Unveiling causal dynamics and forecasting of urban carbon emissions in major emitting economies through multisource interaction

X Liang, W Zhan, X Li, F Deng - Sustainable Cities and Society, 2024 - Elsevier
Mitigating city carbon emissions in major emitting economies is vital for sustainable
development. This study exploits the complex interactions among major sources of …

[HTML][HTML] Boosting urban community resilience to multi-hazard scenarios in open spaces: A virtual reality–serious game training prototype for heat wave protection and …

M De Fino, R Tavolare, G Bernardini… - Sustainable Cities and …, 2023 - Elsevier
A key role in making cities resilient has been acknowledged in raising risk preparedness
and awareness of urban communities, by appropriate education and communication …

[HTML][HTML] A novel urban heat vulnerability analysis: Integrating machine learning and remote sensing for enhanced insights

F Li, T Yigitcanlar, M Nepal, KN Thanh, F Dur - Remote Sensing, 2024 - mdpi.com
Rapid urbanization and climate change exacerbate the urban heat island effect, increasing
the vulnerability of urban residents to extreme heat. Although many studies have assessed …

Study on waste tire pyrolysis product characteristics based on machine learning

J Qi, K Zhang, M Hu, P Xu, T Huhe, X Ling… - Journal of …, 2023 - Elsevier
Tire pyrolysis is a highly complex thermochemical conversion process that transforms waste
tires into high-value products such as pyrolysis oil, pyrolysis gas, and pyrolysis char. This …

Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods

Y Yang, Z Wang, C Cao, M Xu, X Yang, K Wang… - Remote Sensing, 2024 - mdpi.com
Long-term exposure to high concentrations of fine particles can cause irreversible damage
to people's health. Therefore, it is of extreme significance to conduct large-scale continuous …

Land intensification use scenarios based on urban land suitability assessment of the national park

T Qi, Y Li, M Huang, B Luo, Z Peng, W Wang… - Sustainable Cities and …, 2024 - Elsevier
In designing national parks, it is important to balance land use with ecological protection and
local socio-economic development. In the past decades, the national park has undergone …

Machine learning techniques to map the impact of urban heat island: Investigating the city of jeddah

A Addas - Land, 2023 - mdpi.com
Over the last decades, most agricultural land has been converted into residential colonies to
accommodate the rapid population expansion. Population growth and urbanization result in …