AIMC Topic: Cities

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Applications of artificial intelligence and urban innovation performance: A quasi-natural experiment based on the pilot zones for the innovative application of artificial intelligence.

PloS one
Innovation is the core driving force behind the ability to cope with risks and enhance urban competitiveness. Against the backdrop of frequent global crises and intensified competition, improving urban innovation performance is important. This study ...

The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning.

Scientific data
Multi-temporal mapping of the Green View Index (GVI) is crucial for understanding how urban residents perceive seasonal changes in streetscape greenness. Compared to street view imagery (SVI), remote sensing data offers higher temporal frequency and ...

Association between air pollution and type II diabetes in Italy from clinical data and population-weighted exposure at the municipality level.

Scientific reports
A growing body of literature supports the association between ambient particulate pollution and the risk of type 2 diabetes (T2DM). Both issues are particularly relevant in Italy. This study investigates the relationship between T2DM and exposure to ...

Exploring the social life of urban spaces through AI.

Proceedings of the National Academy of Sciences of the United States of America
We analyze changes in pedestrian behavior over a 30-y period in four urban public spaces located in New York, Boston, and Philadelphia. Building on William Whyte's observational work, which involved manual video analysis of pedestrian behaviors, we e...

Spatio-temporal expansion patterns and influencing factors in China's new local retail industry: A case study of Luckin Coffee.

PloS one
with the increased penetration of the Internet, artificial intelligence, and other technologies, New Retail, an emerging commercial sector in cities, has gained significant momentum. As a new local retail brand in China, Luckin Coffee has actively ex...

A novel framework integrating GeoAI and human perceptions to estimate walkability in Wuhan, China.

Scientific reports
Evidence shows enhanced walking environment promotes overall physical activities and further alleviates the risk of chronic diseases and mental disorders. Current walkability research is limited by traditional GIS methods that fail to capture micro-l...

A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg, Sweden.

Scientific data
Bird species occurrence datasets are a valuable resource for understanding the effects of urbanization on various biotic conditions (e.g., species occupancy and richness). Existing datasets offer promising opportunities to explore variations among ci...

Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces.

Scientific reports
In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, so...

Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision.

Environmental science & technology
Environmental health studies commonly rely on urban composition measures for built environment exposure assessment. However, quality measures are equally important, as they directly influence health behaviors. We leveraged computer vision and street-...

A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.

Scientific reports
In recent years, societies and governments worldwide have increasingly focused on addressing the rights and needs of individuals with various disabilities. Concurrently, smartphone applications (apps) have gained widespread popularity across diverse ...