Techniques and tools for integrating building material stock analysis and life cycle assessment at the urban scale: A systematic literature review
The urban building stock has a high demand for materials and energy, exerting tremendous
pressure on natural resources. A current research trend is to integrate Building Material …
pressure on natural resources. A current research trend is to integrate Building Material …
[HTML][HTML] Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes
F Biljecki, YS Chow, K Lee - Building and Environment, 2023 - Elsevier
Geospatial data of the building stock is essential in many domains pertaining to the built
environment. These datasets are often provided by governments, but crowdsourcing them …
environment. These datasets are often provided by governments, but crowdsourcing them …
[HTML][HTML] Global building morphology indicators
F Biljecki, YS Chow - Computers, Environment and Urban Systems, 2022 - Elsevier
Characterising and analysing urban morphology is a continuous task in urban data science,
environmental analyses, and many other domains. As the availability and quality of data on …
environmental analyses, and many other domains. As the availability and quality of data on …
[HTML][HTML] Building stock mining for a circular economy: A systematic review on application of GIS and remote sensing
Existing building stocks (BS) were not designed or constructed with circular economic (CE)
strategies. Hence, recycling is vital in enabling CE in such BS. However, the lack of …
strategies. Hence, recycling is vital in enabling CE in such BS. However, the lack of …
[HTML][HTML] Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach
Stakeholders such as urban planners and energy policymakers use building energy
performance modeling and analysis to develop strategic sustainable energy plans with the …
performance modeling and analysis to develop strategic sustainable energy plans with the …
Predicting building types using OpenStreetMap
Having accurate building information is paramount for a plethora of applications, including
humanitarian efforts, city planning, scientific studies, and navigation systems. While …
humanitarian efforts, city planning, scientific studies, and navigation systems. While …
Classification of building types in Germany: A data-driven modeling approach
Details on building levels play an essential part in a number of real-world application
models. Energy systems, telecommunications, disaster management, the internet-of-things …
models. Energy systems, telecommunications, disaster management, the internet-of-things …
[HTML][HTML] Data-driven classification of Urban Energy Units for district-level heating and electricity demand analysis
The building sector is a significant contributor to global energy consumption and accounts
for approximately one-third of total greenhouse gas emissions. While building energy …
for approximately one-third of total greenhouse gas emissions. While building energy …
City foundation models for learning general purpose representations from openstreetmap
Pre-trained Foundation Models (PFMs) have ushered in a paradigm-shift in AI, due to their
ability to learn general-purpose representations that can be readily employed in …
ability to learn general-purpose representations that can be readily employed in …
[HTML][HTML] Spatial factors influencing building age prediction and implications for urban residential energy modelling
Urban energy consumption is expected to continuously increase alongside rapid
urbanization. The building sector represents a key area for curbing the consumption trend …
urbanization. The building sector represents a key area for curbing the consumption trend …