A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

L Ding, W Fang, H Luo, PED Love, B Zhong… - Automation in …, 2018 - Elsevier
Computer vision and pattern recognition approaches have been applied to determine
unsafe behaviors on construction sites. Such approaches have been reliant on the …

Public–private partnership as a driver of sustainable development: Toward a conceptual framework of sustainability-oriented PPP

Z Cheng, H Wang, W Xiong, D Zhu, L Cheng - Environment, Development …, 2021 - Springer
As an innovative model for infrastructure and public service delivery, public–private
partnership (PPP) has become increasingly more popular around the world. PPP is facing …

Intelligent approach based on random forest for safety risk prediction of deep foundation pit in subway stations

Y Zhou, S Li, C Zhou, H Luo - Journal of Computing in Civil …, 2019 - ascelibrary.org
The number of safety accidents caused by excavation of deep foundation pits in subway
stations has been increasing rapidly in recent years. Thus, precisely predicting the safety …

Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study

C Zhou, H Luo, W Fang, R Wei, L Ding - Automation in construction, 2019 - Elsevier
This study proposed a cyber-physical-system-based safety monitoring system (CPS-SMS)
for blind hoisting in metro and underground constructions. Wuhan Metro's Sanyang road …

Built environment and management: exploring grand challenges and management issues in built environment

L Wang, X Xue, RJ Yang, X Luo, H Zhao - Frontiers of Engineering …, 2019 - Springer
Engineering management research objects have gradually been transformed from micro-
scale projects to macro-scale built environment. Built environment has driven the …

[HTML][HTML] Metro systems: Construction, operation and impacts

D Lin, Z Zhou, M Weng, W Broere, J Cui - Tunnelling and Underground …, 2024 - Elsevier
Metro systems have been in use for over 150 years, and new metro lines are still being
constructed, either as new metro systems or as expansions of existing metro networks. In …

An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds

A Ji, AWZ Chew, X Xue, L Zhang - Automation in Construction, 2022 - Elsevier
Discovering seepage is widely thought to be critical for maintaining the healthy conditions of
the tunnel. Unfortunately, most of the seepage surveys are still manual with tedious, time …

Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data

Y Zhou, C Li, C Zhou, H Luo - Reliability Engineering & System Safety, 2018 - Elsevier
This study proposes a risk analysis model based on the Bayesian network for diaphragm
wall deflection to ensure safety during excavation. Compared with the traditional methods …

Vulnerability modeling, assessment, and improvement in urban metro systems: A probabilistic system dynamics approach

H Chen, B Chen, L Zhang, HX Li - Sustainable Cities and Society, 2021 - Elsevier
The urban metro system is a complex system that is vulnerable to various kinds of hazards
and subjected to dynamics, where errors in any part are very likely to cause system failures …

An IFC-inspection process model for infrastructure projects: Enabling real-time quality monitoring and control

L Ding, K Li, Y Zhou, PED Love - Automation in Construction, 2017 - Elsevier
Comprehensive and timely inspection of quality issues is critical for reducing rework and
delays in infrastructure projects. Enabling a real-time quality checking guidance system to …