Article-Journal

Modeling adolescents' perception of cycling safety: A new approach using graph neural networks and street view imagery
Perceived cycling safety remains a critical determinant of bicycle use among adolescents. Previous studies have highlighted the role of …
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Modeling adolescents' perception of cycling safety: A new approach using graph neural networks and street view imagery
Towards generative location awareness for disaster response: A probabilistic cross-view geolocalization approach
As Earth’s climate changes, it is impacting disasters and extreme weather events across the planet. Record-breaking heatwaves, …
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Towards generative location awareness for disaster response: A probabilistic cross-view geolocalization approach
Vision2Slope: estimating urban road slopes with street view imagery
Road slopes shape mobility patterns and drive the reliability of urban simulations. Yet in most cities, road-level slope information …
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Vision2Slope: estimating urban road slopes with street view imagery
Advancing sustainable geospatial analytics and geoinformatics through repeatable, reproducible, and expandable (RRE) framework and design
In the era of data-intensive science, the complexity and volume of geospatial data have grown exponentially. Compared to traditional …
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Advancing sustainable geospatial analytics and geoinformatics through repeatable, reproducible, and expandable (RRE) framework and design
It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities
Quantifying and assessing urban greenery is consequential for planning and development, reflecting the everlasting importance of green …
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It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities
Heterogeneous graph neural networks for building attribute prediction from hierarchical urban features and cross-view imagery
Data on building properties are essential for a variety of urban applications, yet such information remains scarce in many parts of the …
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Heterogeneous graph neural networks for building attribute prediction from hierarchical urban features and cross-view imagery
Street view imagery-based method for reconstructing 3D building façade openings
The availability of 3D building models has been increasing, but they often lack detail at the architectural scale. This paper presents …
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Street view imagery-based method for reconstructing 3D building façade openings
Visual determinants of outdoor thermal comfort: integrating explainable AI and perceptual assessments
Outdoor thermal comfort is a crucial determinant of urban space quality. While research has developed various heat indices, such as the …
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Visual determinants of outdoor thermal comfort: integrating explainable AI and perceptual assessments
Urban AI for a sustainable built environment: Progress and future directions
Urban areas stand at the forefront of the climate crisis, facing escalating environmental pressures, growing social inequalities, and …
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Urban AI for a sustainable built environment: Progress and future directions
BuildingMultiView: Powering multi-scale building characterization with large language models and Multi-perspective imagery
Buildings play a crucial role in shaping urban environments, influencing their physical, functional, and aesthetic characteristics. …
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BuildingMultiView: Powering multi-scale building characterization with large language models and Multi-perspective imagery