[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

F Biljecki, T Zhao, X Liang, Y Hou - International Journal of Applied Earth …, 2023 - Elsevier
Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …

A blockchain 3.0 paradigm for digital twins in construction project management

R Zhao, Z Chen, F Xue - Automation in Construction, 2023 - Elsevier
Construction project management (CPM) is inherently complex and distributed, while digital
twin and blockchain are recognized as promising solutions for information-reliant CPM. By …

The state of the art in visual analytics for 3D urban data

F Miranda, T Ortner, G Moreira… - Computer Graphics …, 2024 - Wiley Online Library
Urbanization has amplified the importance of three‐dimensional structures in urban
environments for a wide range of phenomena that are of significant interest to diverse …

A perception-powered urban digital twin to support human-centered urban planning and sustainable city development

J Luo, P Liu, W Xu, T Zhao, F Biljecki - Cities, 2025 - Elsevier
Abstract Urban Digital Twins (UDTs) offer a promising avenue for advancing sustainable
urban development by mirroring physical environments and complex urban dynamics. Such …

The therapeutic look up: Stress reduction and attention restoration vary according to the sky-leaf-trunk (SLT) ratio in canopy landscapes

W Lin, C Zeng, Z Bao, H ** - Landscape and Urban Planning, 2023 - Elsevier
People often enjoy relaxing in forests, and the canopy landscape of these forests has
important therapeutic potential. However, previous studies have focused on horizontal …

Integrating automated machine learning and interpretability analysis in architecture, engineering and construction industry: A case of identifying failure modes of …

D Liang, F Xue - Computers in Industry, 2023 - Elsevier
Abstract Machine learning (ML) has been recognized by researchers in the architecture,
engineering, and construction (AEC) industry but undermined in practice by (i) complex …

4D point cloud-based spatial-temporal semantic registration for monitoring mobile crane construction activities

D Liang, SH Chen, Z Chen, Y Wu, LYL Chu… - Automation in …, 2024 - Elsevier
Existing construction activity-monitoring technologies, such as CCTV cameras and IoT
devices, have limitations, such as lack of depth information, 3D measurement errors, or …

Hierarchical attributed graph-based generative façade parsing for high-rise residential buildings

B Wang, M Li, Z Peng, W Lu - Automation in Construction, 2024 - Elsevier
High-rise residential building façades (HRBFs), given their size and abundant façade
information, pose a challenge for conventional parsing methods. This paper presents …

Spatial-temporal patterns and influencing factors of the Building Green View Index: A new approach for quantifying 3D urban greenery visibility

L Qi, Y Hu, R Bu, Z **ong, B Li, C Zhang, H Liu… - Sustainable Cities and …, 2024 - Elsevier
The vertical expansion of urbanization has increased the morphological heterogeneity of the
urban landscape, affecting the physical and emotional wellbeing of urban dwellers by …

Bi-objective analytics of 3D visual-physical nature exposures in high-rise high-density cities for landscape and urban planning

M Li, F Xue, AGO Yeh - Landscape and Urban Planning, 2023 - Elsevier
Urban dwellers enjoy nature exposure in the neighborhood built environment through visual
and physical ways, such as window views and outdoor activities. However, existing studies …