Modelling sunlight and shading distribution on 3D trees and buildings: Deep learning augmented geospatial data construction from street view images DOI
Shu Wang, Rui Zhu, Yifan Pu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112816 - 112816

Published: March 1, 2025

Language: Английский

Challenges of urban digital twins: A systematic review and a Delphi expert survey DOI Creative Commons
Binyu Lei, Patrick Janssen, Jantien Stoter

et al.

Automation in Construction, Journal Year: 2023, Volume and Issue: 147, P. 104716 - 104716

Published: Jan. 5, 2023

Many challenges to operate digital twins remain, hindering their design and implementation, are rarely discussed. Furthermore, issues of social legal nature often overlooked. We identify the operating in urban context through a bifurcated multi-dimensional approach: systematic literature review an expert survey. The organises identified across technical non-technical dimensions. As topic is novel, corpus rather small lacking contextualisation challenges. Thus, we complement it with survey based on Delphi method, involving diverse panel domain experts covering academia, industry government organisations. Combining results, 14 9 map them phases twin's life cycle. most severe appear be related interoperability (e.g. disparate semantic standards) practical value lack business models).

Language: Английский

Citations

110

Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes DOI Creative Commons
Filip Biljecki, Yoong Shin Chow, Kay Lee

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 237, P. 110295 - 110295

Published: April 18, 2023

Geospatial data of the building stock is essential in many domains pertaining to built environment. These datasets are often provided by governments, but crowdsourcing them has surged last decade. Nowadays, OpenStreetMap (OSM) – most popular Volunteered Geographic Information (VGI) platform contains geospatial and descriptive on more than 500 million buildings worldwide collected millions contributors, it increasingly used studies ranging from energy microclimate urban planning life cycle assessment. However, large-scale understanding their quality remains limited, which may hinder use management. In this paper, we seek understand state information OSM whether a reliable source such data. We provide comprehensive study assess attribute (descriptive) mapped globally, e.g. function, key ingredients analyses simulations examine three aspects: completeness, consistency, accuracy. assessment, first at scale available hitherto, find that continues be highly heterogeneous — poor some, very high completeness other areas, potentially benefiting range application domains, estimate 3D models 443 administrative units (mostly cities municipalities) around world can generated OSM, underpinning generation digital twins. The number floors type frequent properties contributors record, cases accurate, while mapping interior did not gain momentum.

Language: Английский

Citations

83

Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales DOI
Abraham Noah Wu, Rudi Stouffs, Filip Biljecki

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 223, P. 109477 - 109477

Published: Aug. 17, 2022

Language: Английский

Citations

81

Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey DOI Creative Commons
Hu Wei, Kendrik Yan Hong Lim, Yiyu Cai

et al.

Buildings, Journal Year: 2022, Volume and Issue: 12(11), P. 2004 - 2004

Published: Nov. 17, 2022

With increasing interest in automatic and intelligent systems to enhance the building construction industry, digital twins (DT) are gaining popularity as cost-effective solutions meet stakeholder requirements. Comprising real-time multi-asset connectivity, simulation, decision support functionalities, many recent studies have utilised Industry 4.0 technologies with DT fulfil construction-specific applications. However, there is no comprehensive review our knowledge, holistically examining benefits of using a platform from angles technologies, project management, lifecycle. To bridge this gap, systematic literature 182 papers on DT-in-construction works over past 6 years conducted address three perspectives. In review, unified framework first modelled incorporate within structure. Next, Six M methodology (comprising Machine, Manpower, Material, Measurement, Milieu, Method) based Ishikawa’s Diagram lifecycle considerations proposed highlight advantages ensuring successful projects. Lastly, through identification 11 future directions, work aims serve reference for both industry academia towards use fundamental enabler realise Construction paradigm.

Language: Английский

Citations

72

Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics DOI
Yujun Hou, Matías Quintana, Maxim Khomiakov

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 215, P. 216 - 238

Published: July 16, 2024

Language: Английский

Citations

26

Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement DOI Creative Commons

Haowen Xu,

Olufemi A. Omitaomu, Soheil Sabri

et al.

Urban Informatics, Journal Year: 2024, Volume and Issue: 3(1)

Published: Oct. 14, 2024

Abstract The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch data-driven smart city applications for efficient sustainable urban management. Despite their effectiveness, these often rely on massive amounts high-dimensional multi-domain data monitoring characterizing different sub-systems, presenting challenges in application areas that are limited quality availability, as well costly efforts generating scenarios design alternatives. As an emerging research area deep learning, Generative Artificial Intelligence (GenAI) models have demonstrated unique values content generation. This paper aims to explore innovative integration GenAI techniques twins address planning management built environments with focuses various such transportation, energy, water, building infrastructure. survey starts introduction cutting-edge generative AI models, Adversarial Networks (GAN), Variational Autoencoders (VAEs), Pre-trained Transformer (GPT), followed a scoping review existing science leverage intelligent autonomous capability facilitate research, operations, critical subsystems, holistic environment. Based review, we discuss potential opportunities technical strategies integrate into next-generation more intelligent, scalable, automated development

Language: Английский

Citations

17

A comprehensive framework for evaluating the quality of street view imagery DOI Creative Commons
Yujun Hou, Filip Biljecki

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2022, Volume and Issue: 115, P. 103094 - 103094

Published: Nov. 12, 2022

Language: Английский

Citations

58

3D building metrics for urban morphology DOI Creative Commons
Anna Labetski, Stelios Vitalis, Filip Biljecki

et al.

International Journal of Geographical Information Science, Journal Year: 2022, Volume and Issue: 37(1), P. 36 - 67

Published: Aug. 1, 2022

Urban morphology is important in a broad range of investigations across the fields city planning, transportation, climate, energy, and urban data science. Characterising buildings with set numerical metrics fundamental to studying form. Despite rapid developments 3D geoinformation science, growing availability, most studies simplify their 2D footprint, when taking height into account, they at assume one value per building, i.e. simple 3D. We take first step elevating building full/true 3D, uncovering use higher levels detail, account detailed shape building. foundation new research line on by providing comprehensive metrics, implementing them openly released software, generating an open dataset containing for 823,000 Netherlands, demonstrating case where clusters architectural patterns are analysed through time. Our experiments suggest added complement existing counterparts, reducing ambiguity, advanced insights. Furthermore, we provide comparative analysis using different detail models.

Language: Английский

Citations

47

Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision DOI
Junjie Luo, Tianhong Zhao, Lei Cao

et al.

Landscape and Urban Planning, Journal Year: 2022, Volume and Issue: 228, P. 104569 - 104569

Published: Sept. 23, 2022

Language: Английский

Citations

41

Automatic assessment of public open spaces using street view imagery DOI
Shuting Chen, Filip Biljecki

Cities, Journal Year: 2023, Volume and Issue: 137, P. 104329 - 104329

Published: April 22, 2023

Language: Английский

Citations

40