Article-Journal

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
EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings
Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. …
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EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings
Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image
With the rise of GeoAI research, streetscape imagery has received extensive attention due to its comprehensive coverage, abundant …
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Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image
Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort
Conventional sidewalk studies focused on quantitative analysis of sidewalk walkability at a large scale which cannot capture the …
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Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort
Exploring spatiotemporal pattern and agglomeration of road CO2 emissions in Guangdong, China
Road transport is a prominent source of carbon emissions. However, fine-grained regional estimations on road carbon dioxide (CO2) …
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Exploring spatiotemporal pattern and agglomeration of road CO2 emissions in Guangdong, China
Challenges of Urban Digital Twins: A Systematic Review and a Delphi Expert Survey
Many challenges to operate digital twins remain, hindering their design and implementation, and are rarely discussed. Furthermore, …
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Challenges of Urban Digital Twins: A Systematic Review and a Delphi Expert Survey