Article-Journal

Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Urban road networks (URNs) are ubiquitous and essential components of cities. Visually, they present diverse patterns that embody …
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Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Explainable spatially explicit geospatial artificial intelligence in urban analytics
Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph neural networks (GNNs) have become one of …
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Explainable spatially explicit geospatial artificial intelligence in urban analytics
Urbanity: automated modelling and analysis of multidimensional networks in cities
Urban networks play a vital role in connecting multiple urban components and developing our understanding of cities and urban systems. …
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Urbanity: automated modelling and analysis of multidimensional networks in cities
Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor (SVF) and Green View Index (GVI), but (1) …
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Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Insights in a city through the eyes of Airbnb reviews: Sensing urban characteristics from homestay guest experiences
There is a growing interest in deriving insights about cities from crowdsourced data. We advance the discourse by employing homestay …
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Insights in a city through the eyes of Airbnb reviews: Sensing urban characteristics from homestay guest experiences
How spatio-temporal resolution impacts urban energy calibration
Building Energy Modeling tools help forecast the energy performance of buildings. Urban energy models (UBEMs) emerged as important …
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How spatio-temporal resolution impacts urban energy calibration
Revealing spatio-temporal evolution of urban visual environments with street view imagery
The visual landscape plays a pivotal role in urban planning and healthy cities. Recent studies of visual evaluation focus on either …
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Revealing spatio-temporal evolution of urban visual environments with street view imagery
Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
The accurate prediction of travel demand by bus is crucial for effective urban mobility demand management. However, most models of …
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Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
Automatic assessment of public open spaces using street view imagery
Public open space (POS) is essential to urban areas. Assessing them usually requires tedious approaches such as fieldwork and manual …
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Automatic assessment of public open spaces using street view imagery
Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes
Geospatial data of the building stock is essential in many domains pertaining to the built environment. These datasets are often …
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Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes