Article-Journal

Street-view-based techniques for assessing the sky view factor (SVF) and solar irradiance under trees are gaining attention as tools …

Street view imagery (SVI), an emerging geospatial dataset, is useful for evaluating active transportation infrastructure, but it faces …

High-resolution microclimate data is essential for capturing spatio-temporal heterogeneity of urban climate and heat health management. …

Identification of Aedes aegypti breeding hotspots is essential for the implementation of targeted vector control strategies and thus …

Building appearances profoundly shape the urban visual landscape, influencing city images and the quality of urban life. Traditional …

Street view imagery (SVI) is instrumental for sensing urban environments, benefitting numerous domains such as urban morphology, …

Megacities are major contributors to global road CO2 emissions, highlighting their pivotal role in achieving low-carbon development. …

The urban building stock has a high demand for materials and energy, exerting tremendous pressure on natural resources. A current …

Visual characteristics of the built environment affect how people perceive and experience cities. For a long time, many studies have …

Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are …

Building characteristics, such as number of storeys and type, play a key role across many domains: interpreting urban form, simulating …

Public transit agencies have amassed substantial data through on-board and off-board sensors over the years. While data collection was the primary focus, there is now a shift towards deriving actionable insights from this wealth of information.

Digital twin technology has great potential to transform urban planning. However, the governance aspects of city-scale digital twins (CDTs)— a virtual representation of urban environments —are understudied.

This paper brings a comprehensive systematic review of the application of geospatial artificial intelligence (GeoAI) in quantitative human geography studies, including the subdomains of cultural, economic, political, historical, urban, population, social, health, rural, regional, tourism, behavioural, environmental and transport geography.

Urban microclimate prediction is crucial for various fields, including Building Performance Simulation (BPS), outdoor thermal comfort, …

Urban areas and cities face risks caused by the compounding impacts of urbanization and increasing frequency of disasters. The …

Most studies of urban morphology rely on morphometrics, such as building area and street length. However, these methods often fall …

The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the …

The well-being of residents is considerably influenced by the quality of their environment. However, due to the lack of large-scale …

This paper describes a dataset collected by infrared thermography, a non-contact, non-intrusive technique to acquire data and analyze …

Urban network analytics has become an essential tool for understanding and modeling the intricate complexity of cities. We introduce …

Urban road networks (URNs) are ubiquitous and essential components of cities. Visually, they present diverse patterns that embody …

Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph neural networks (GNNs) have become one of …

Urban networks play a vital role in connecting multiple urban components and developing our understanding of cities and urban systems. …

Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor (SVF) and Green View Index (GVI), but (1) …

There is a growing interest in deriving insights about cities from crowdsourced data. We advance the discourse by employing homestay …

Building Energy Modeling tools help forecast the energy performance of buildings. Urban energy models (UBEMs) emerged as important …

The visual landscape plays a pivotal role in urban planning and healthy cities. Recent studies of visual evaluation focus on either …

The accurate prediction of travel demand by bus is crucial for effective urban mobility demand management. However, most models of …

Public open space (POS) is essential to urban areas. Assessing them usually requires tedious approaches such as fieldwork and manual …

Geospatial data of the building stock is essential in many domains pertaining to the built environment. These datasets are often …

Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. …

With the rise of GeoAI research, streetscape imagery has received extensive attention due to its comprehensive coverage, abundant …

Conventional sidewalk studies focused on quantitative analysis of sidewalk walkability at a large scale which cannot capture the …

Road transport is a prominent source of carbon emissions. However, fine-grained regional estimations on road carbon dioxide (CO2) …

Many challenges to operate digital twins remain, hindering their design and implementation, and are rarely discussed. Furthermore, …

Generative Adversarial Network (GAN) is widely used in many generative problems, including in spatial information sciences and urban …

Acquiring spatial data of fine and dynamic urban features such as buildings remains challenging. This paper brings attention to real …

A healthy acoustic environment is an essential component of sustainable cities. Various noise monitoring and simulation techniques have …

Planning for active mobility satisfies many fundamental tenets of good urban design and planning. However, planning for active mobility …

Street view imagery (SVI) is increasingly in competition with traditional remote sensing sources and assuming its domination in myriads …

3D city models are omnipresent in urban management and simulations. However, instruments for their evaluation have been limited. …

Gathering knowledge about physical settings and visual information of places has long been of interest to a wide variety of fields as …

In land-scarce cities, high-rise apartment buildings may provide vertical spaces for natural-light home gardening along corridors, …

Traditional approaches for visual perception and evaluation of river landscapes adopt on-site surveys or assessments through …

Generative Adversarial Networks (GANs) are a type of deep neural network that have achieved many state-of-the-art results for …

Unsupervised learning (UL) has a long and successful history in untangling the complexity of cities. As the counterpart of supervised …

Urban Geography studies forms, social fabrics, and economic structures of cities from a geographic perspective. Catalysed by the …

Urban morphology is important in a broad range of investigations across the fields of city planning, transportation, climate, energy, …

3D building models are an established instance of geospatial information in the built environment, but their acquisition remains …