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2
Microclimate spatio-temporal prediction using deep learning and land use data
Urban microclimate prediction is crucial for various fields, including Building Performance Simulation (BPS), outdoor thermal comfort, …
Jintong Han
,
Adrian Chong
,
Joie Lim
,
Savitha Ramasamy
,
Nyuk Hien Wong
,
Filip Biljecki
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DOI
Continuing from the Sendai Framework midterm: Opportunities for urban digital twins in disaster risk management
Urban areas and cities face risks caused by the compounding impacts of urbanization and increasing frequency of disasters. The …
Edgardo G. Macatulad
,
Filip Biljecki
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DOI
Learning visual features from figure-ground maps for urban morphology discovery
Most studies of urban morphology rely on morphometrics, such as building area and street length. However, these methods often fall …
Wang Jing
,
Weiming Huang
,
Filip Biljecki
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DOI
Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the …
Xiao Huang
,
Siqin Wang
,
Di Yang
,
Tao Hu
,
Meixu Chen
,
Mengxi Zhang
,
Guiming Zhang
,
Filip Biljecki
,
Tianjun Lu
,
Lei Zou
,
Connor Y. H. Wu
,
Yoo Min Park
,
Xiao Li
,
Yunzhe Liu
,
Hongchao Fan
,
Jessica Mitchell
,
Zhenlong Li
,
Alexander Hohl
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DOI
Preface: Workshop ``GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours''
Urban spaces have become complex, being shaped by diverse human behaviours. Therefore, the sustainability of development has faced …
W. Huang
,
B. Y. Chen
,
Filip Biljecki
,
Y. Yan
,
Y. Grinberger
,
H. Li
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DOI
Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery
The well-being of residents is considerably influenced by the quality of their environment. However, due to the lack of large-scale …
Wang Zeyu
,
Koichi Ito
,
Filip Biljecki
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DOI
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
This paper describes a dataset collected by infrared thermography, a non-contact, non-intrusive technique to acquire data and analyze …
Subin Lin
,
Vasantha Ramani
,
Miguel Martin
,
Pandarasamy Arjunan
,
Adrian Chong
,
Filip Biljecki
,
Marcel Ignatius
,
Kameshwar Poolla
,
Clayton Miller
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DOI
The Building Data Genome Directory -- An open, comprehensive data sharing platform for building performance research
The building sector plays a crucial role in the worldwide decarbonization effort, accounting for significant portions of energy …
Xiaoyu Jin
,
Chun Fu
,
Hussain Kazmi
,
Atilla Balint
,
Ada Canaydin
,
Matias Quintana
,
Filip Biljecki
,
Fu Xiao
,
Clayton Miller
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DOI
A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies
Recently, the concept of a digital twin for the built environment has received significant attention due to its potential benefits to …
Vasantha Ramani
,
Marcel Ignatius
,
Joie Lim
,
Filip Biljecki
,
Clayton Miller
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DOI
Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics
The productivity and satisfaction of humans in the built environment is impacted significantly by their exposure to high temperature …
Clayton Miller
,
Matias Quintana
,
Mario Frei
,
Yun Xuan Chua
,
Chun Fu
,
Bianca Picchetti
,
Winston Yap
,
Adrian Chong
,
Filip Biljecki
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DOI
A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses
Urban network analytics has become an essential tool for understanding and modeling the intricate complexity of cities. We introduce …
Winston Yap
,
Filip Biljecki
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DOI
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 …
Chen Wangyang
,
Huiming Huang
,
Shunyi Liao
,
Feng Gao
,
Filip Biljecki
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DOI
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 …
Pengyuan Liu
,
Yan Zhang
,
Filip Biljecki
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DOI
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. …
Winston Yap
,
Rudi Stouffs
,
Filip Biljecki
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DOI
Uncovering the challenges of urban digital twins
Urban digital twins, as representations of physical assets in the cities, enable two- way interaction with real-world counterparts, …
Binyu Lei
,
Patrick Janssen
,
Jantien Stoter
,
Filip Biljecki
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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) …
Filip Biljecki
,
Tianhong Zhao
,
Liang Xiucheng
,
Hou Yujun
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DOI
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 …
Wang Jiaxuan
,
Yoong Shin Chow
,
Filip Biljecki
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DOI
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 …
Aysegul Demir Dilsiz
,
Kingsley E. Nweye
,
Allen J. Wu
,
Jérôme H. Kämpf
,
Filip Biljecki
,
Zoltan Nagy
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DOI
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 …
Liang Xiucheng
,
Tianhong Zhao
,
Filip Biljecki
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DOI
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 …
Tianhong Zhao
,
Zhengdong Huang
,
Wei Tu
,
Filip Biljecki
,
Long Chen
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DOI
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 …
Chen Shuting
,
Filip Biljecki
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DOI
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 …
Filip Biljecki
,
Yoong Shin Chow
,
Kay Lee
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DOI
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. …
Nikola Milojevic-Dupont
,
Felix Wagner
,
Florian Nachtigall
,
Jiawei Hu
,
Geza Boi Brüser
,
Marius Zumwald
,
Filip Biljecki
,
Niko Heeren
,
Lynn H. Kaack
,
Peter-Paul Pichler
,
Felix Creutzig
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DOI
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 …
Yan Zhang
,
Pengyuan Liu
,
Filip Biljecki
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DOI
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 …
Pengyuan Liu
,
Tianhong Zhao
,
Junjie Luo
,
Binyu Lei
,
Mario Frei
,
Clayton Miller
,
Filip Biljecki
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DOI
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) …
Xingdong Deng
,
Chen Wangyang
,
Qingya Zhou
,
Yuming Zheng
,
Hongbao Li
,
Shunyi Liao
,
Filip Biljecki
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DOI
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, …
Binyu Lei
,
Patrick Janssen
,
Jantien Stoter
,
Filip Biljecki
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DOI
InstantCITY: Synthesising morphologically accurate geospatial data for urban form analysis, transfer, and quality control
Generative Adversarial Network (GAN) is widely used in many generative problems, including in spatial information sciences and urban …
Abraham Noah Wu
,
Filip Biljecki
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DOI
Mining real estate ads and property transactions for building and amenity data acquisition
Acquiring spatial data of fine and dynamic urban features such as buildings remains challenging. This paper brings attention to real …
Chen Xinyu
,
Filip Biljecki
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DOI
Sensing urban soundscapes from street view imagery
A healthy acoustic environment is an essential component of sustainable cities. Various noise monitoring and simulation techniques have …
Tianhong Zhao
,
Liang Xiucheng
,
Wei Tu
,
Zhengdong Huang
,
Filip Biljecki
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DOI
Incorporating Networks in Semantic Understanding of Streetscapes: Contextualising Active Mobility Decisions
Planning for active mobility satisfies many fundamental tenets of good urban design and planning. However, planning for active mobility …
Winston Yap
,
Jiat-Hwee Chang
,
Filip Biljecki
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DOI
A comprehensive framework for evaluating the quality of street view imagery
Street view imagery (SVI) is increasingly in competition with traditional remote sensing sources and assuming its domination in myriads …
Hou Yujun
,
Filip Biljecki
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DOI
Assessing and benchmarking 3D city models
3D city models are omnipresent in urban management and simulations. However, instruments for their evaluation have been limited. …
Binyu Lei
,
Rudi Stouffs
,
Filip Biljecki
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DOI
Water View Imagery: Perception and evaluation of urban waterscapes worldwide
Gathering knowledge about physical settings and visual information of places has long been of interest to a wide variety of fields as …
Junjie Luo
,
Tianhong Zhao
,
Lei Cao
,
Filip Biljecki
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DOI
Home gardening in Singapore: A feasibility study on the utilization of the vertical space of retrofitted high-rise public housing apartment buildings to increase urban vegetable self-sufficiency
In land-scarce cities, high-rise apartment buildings may provide vertical spaces for natural-light home gardening along corridors, …
Shuang Song
,
Jia Chin Cheong
,
Joel S. H. Lee
,
Jonathan K. N. Tan
,
Zhongyu Chiam
,
Srishti Arora
,
Karl J. Q. Png
,
Johanah W. C. Seow
,
Felicia W. S. Leong
,
Ankit Palliwal
,
Filip Biljecki
,
Abel Tablada
,
Hugh T. W. Tan
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DOI
Comparing street view imagery and aerial perspectives in the built environment
Street view imagery (SVI) has gained prominence in the past decade, offering a new perspective to map and understand cities. It …
Leon Gaw
,
Chen Shuting
,
Yoong Shin Chow
,
Kay Lee
,
Filip Biljecki
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DOI
Dataset for urban scale building stock modelling: Identification and review of potential data collection approaches
Construction materials play an important role in environmental impacts and make cities big resource consumers. To assess the …
Wanyu Pei
,
Filip Biljecki
,
Rudi Stouffs
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DOI
Local Climate Zones: Lessons from Singapore and potential improvement with street view imagery
Urban heat island (UHI) is considered a serious environmental issue in highly urbanized cities such as Singapore. To better quantify …
Marcel Ignatius
,
Ruohan Xu
,
Hou Yujun
,
Liang Xiucheng
,
Tianhong Zhao
,
Shisheng Chen
,
Nyuk Hien Wong
,
Filip Biljecki
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DOI
Use cases for district-scale urban digital twins
Efficient usage and management of abundant data are crucial for organisations, especially in the light of a lack of in-depth IT …
Pradeep Alva
,
Filip Biljecki
,
Rudi Stouffs
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DOI
Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Traditional approaches for visual perception and evaluation of river landscapes adopt on-site surveys or assessments through …
Junjie Luo
,
Tianhong Zhao
,
Lei Cao
,
Filip Biljecki
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DOI
Generative Adversarial Networks in the Built Environment: A Comprehensive Review of the Application of GANs across Data Types and Scales
Generative Adversarial Networks (GANs) are a type of deep neural network that have achieved many state-of-the-art results for …
Abraham Noah Wu
,
Rudi Stouffs
,
Filip Biljecki
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DOI
Unsupervised machine learning in urban studies: A systematic review of applications
Unsupervised learning (UL) has a long and successful history in untangling the complexity of cities. As the counterpart of supervised …
Wang Jing
,
Filip Biljecki
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DOI
A review of spatially-explicit GeoAI applications in Urban Geography
Urban Geography studies forms, social fabrics, and economic structures of cities from a geographic perspective. Catalysed by the …
Pengyuan Liu
,
Filip Biljecki
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DOI
3D building metrics for urban morphology
Urban morphology is important in a broad range of investigations across the fields of city planning, transportation, climate, energy, …
Anna Labetski
,
Stelios Vitalis
,
Filip Biljecki
,
Ken Arroyo Ohori
,
Jantien Stoter
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DOI
3D building reconstruction from single street view images using deep learning
3D building models are an established instance of geospatial information in the built environment, but their acquisition remains …
Pang Hui En
,
Filip Biljecki
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DOI
Free and open source urbanism: Software for urban planning practice
Free and open source tools present numerous opportunities to support current urban planning practice. However, their overview is …
Winston Yap
,
Patrick Janssen
,
Filip Biljecki
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DOI
ifc2indoorgml: An open-source tool for generating IndoorGML from IFC
The interest in 3D indoor models has been continuously growing. Most such models are made available as point clouds or BIM (e.g., IFC), …
AA Diakite
,
L Díaz-Vilariño
,
Filip Biljecki
,
Ü Isikdag
,
S Simmons
,
K Li
,
S Zlatanova
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DOI
Infrared thermography in the built environment: A multi-scale review
The paper presents a review on major contributions in infrared thermography to study the built environment at multiple scales. To …
Miguel Martin
,
Adrian Chong
,
Filip Biljecki
,
Clayton Miller
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DOI
Global Building Morphology Indicators
Characterising and analysing urban morphology is a continuous task in urban data science, environmental analyses, and many other …
Filip Biljecki
,
Yoong Shin Chow
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DOI
Population estimation beyond counts---Inferring demographic characteristics
Mapping population distribution at a fine spatial scale is essential for urban studies and planning. Numerous studies, mainly supported …
Noée Szarka
,
Filip Biljecki
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DOI
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