2

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, …

Street view imagery (SVI) has gained prominence in the past decade, offering a new perspective to map and understand cities. It …

Construction materials play an important role in environmental impacts and make cities big resource consumers. To assess the …

Urban heat island (UHI) is considered a serious environmental issue in highly urbanized cities such as Singapore. To better quantify …

Efficient usage and management of abundant data are crucial for organisations, especially in the light of a lack of in-depth IT …

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 …

Free and open source tools present numerous opportunities to support current urban planning practice. However, their overview is …

The interest in 3D indoor models has been continuously growing. Most such models are made available as point clouds or BIM (e.g., IFC), …

The paper presents a review on major contributions in infrared thermography to study the built environment at multiple scales. To …

Characterising and analysing urban morphology is a continuous task in urban data science, environmental analyses, and many other …

Mapping population distribution at a fine spatial scale is essential for urban studies and planning. Numerous studies, mainly supported …

We present a new method to create spatial data using a generative adversarial network (GAN). Our contribution uses coarse and widely …

Studies evaluating bikeability usually compute spatial indicators shaping cycling conditions and conflate them in a quantitative index. …

There is a prevailing trend to study urban morphology quantitatively thanks to the growing accessibility to various forms of spatial …

Street view imagery has rapidly ascended as an important data source for geospatial data collection and urban analytics, deriving …

Sustainable roofs, such as those with greenery and photovoltaic panels, contribute to the roadmap for reducing the carbon footprint of …

Three-dimensional city models are essential to assess the impact that environmental factors will have on citizens, because they are the …

Studies have suggested that there is farming potential in urban residential buildings. However, these studies are limited in scope, …

Industry Foundation Classes (IFC), the buildingSMART open standard for BIM, is underused with respect to its promising potential, …

OGC CityGML is an open standard for 3D city models intended to foster interoperability and support various applications. However, …

Differences in the scope and intent of the contrasting IFC and CityGML data formats entail that converting the former to the latter …

This article investigates the current status of generating 3D building models across 11 countries in Southeast Asia from publicly …

There is an increasing activity in developing workflows and implementations to convert BIM data into CityGML. However, there are still …

Standardised data formats and data models are essential for data integration and interoperability, which in turn adds value to data by …

The integration of 3D city models with Building Information Models (BIM), coined as GeoBIM, facilitates improved data support to …

The level of detail (LOD) concept for 3D building models, which indicates the degree of closeness between a model and its real-world …

Persistent scatterers (PSs) are coherent measurement points obtained from time series of satellite radar images, which are used to …