AIMC Topic: Cities

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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city.

Frontiers in public health Mar 6, 2025
INTRODUCTION: Urban green spaces play a critical role in addressing health issues, ecological challenges, and uneven resource distribution in cities. This study focuses on Wuhan, where low green coverage rates and imbalanced green space allocation po...
Random Forest Support Vector Machine Parks, Recreational Urban Health Linear Models China Sustainable Development Environment Design Urban Renewal Cities
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Planning and layout of tourism and leisure facilities based on POI big data and machine learning.

PloS one Mar 4, 2025
The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights,...
China Leisure Activities Big Data Humans Machine Learning City Planning Cities Algorithms Beijing Tourism
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Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City.

Scientific reports Feb 25, 2025
Ozone pollution affects food production, human health, and the lives of individuals. Due to rapid industrialization and urbanization, Liaocheng has experienced increasing of ozone concentration over several years. Therefore, ozone has become a major ...
Ozone Memory, Short-Term Air Pollutants Air Pollution Humans Neural Networks, Computer China Cities Environmental Monitoring
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High-resolution spatio-temporal estimation of street-level air pollution using mobile monitoring and machine learning.

Journal of environmental management Feb 21, 2025
High spatio-temporal resolution street-level air pollution (SLAP) estimation is essential for urban air quality management, yet traditional methods face significant challenges in capturing the detailed spatial and temporal variability of pollution. M...
Spatio-Temporal Analysis Cities Environmental Monitoring Air Pollutants Air Pollution Particulate Matter Machine Learning
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Transforming residential water end use analysis: unleashing insights from widespread low-resolution smart metering data.

Water research Feb 20, 2025
Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into residential water end use data provides valuable insights for water businesses and their customers. Water end use data is crucial for developing effective ...
Australia Neural Networks, Computer Water Supply Cities Conservation of Water Resources Models, Theoretical
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Staying for food by urban birds: Insights from neural network analysis into adaptive strategies.

Environmental management Feb 11, 2025
Previous work showed that animals have demonstrated remarkable adaptability by actively integrating into urban environments. However, there is no essential difference between urban and rural areas but food availability. The behavioral mechanisms and ...
Animals China Cities Humans Neural Networks, Computer Feeding Behavior Charadriiformes
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Understanding Citizens' Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI.

Journal of medical Internet research Feb 11, 2025
BACKGROUND: The COVID-19 pandemic continues to hold an important place in the collective memory as of 2024. As of March 2024, >676 million cases, 6 million deaths, and 13 billion vaccine doses have been reported. It is crucial to evaluate sociopsycho...
Artificial Intelligence Pandemics COVID-19 Humans Large Language Models Cities United States Social Media Language SARS-CoV-2
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Spatial heterogeneity effect of built environment on traffic safety using geographically weighted atrous convolutions neural network.

Accident; analysis and prevention Feb 8, 2025
The built environment exerts a significant influence on the frequency and severity of traffic accidents. Spatially uniform assumptions on the impacts of built environment factors commonly employed in existing research may lead to inconsistent and con...
Humans Neural Networks, Computer China Cities Environment Design Accidents, Traffic Spatial Analysis Safety Built Environment Population Density
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What factors influence the willingness and intensity of regular mobile physical activity?- A machine learning analysis based on a sample of 290 cities in China.

Frontiers in public health Jan 23, 2025
INTRODUCTION: This study, based on Volunteered Geographic Information (VGI) and multi-source data, aims to construct an interpretable macro-scale analytical framework to explore the factors influencing urban physical activities. Using 290 prefecture-...
China Cities Socioeconomic Factors Environment Design Walking Built Environment Male Middle Aged Exercise Humans Bicycling Female Machine Learning Adult
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Subway opening enables urban green development: Evidence from difference-in-differences and double dual machine learning methods.

Journal of environmental management Jan 22, 2025
Urban rail transport is an important part of transport infrastructure, which is significant in empowering green-oriented urban development. However, few studies in the existing literature explore the effect of subway opening on urban green developmen...
Railroads China Cities Transportation Machine Learning
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