Journal of Construction Engineering and Management cover with an image of a construction site on a red background. The journal title, ASCE logo and Construction Institute logo are displayed as well.
CRC 2020 Special Collection: Construction Research and Innovation to Transform Society

Guest Editors:
Mounir El Asmar, Ph.D., A.M.ASCE, Arizona State University
David Grau, Ph.D., A.M.ASCE, Arizona State University
Pingbo Tang, Ph.D., M.ASCE, Carnegie Mellon University

The Construction Research Congress (CRC) is one of the prime international conferences in construction engineering and management. It is held every two years, providing one university the privilege to serve and host peers from around the globe to facilitate an interactive exchange of ideas and research findings. CRC 2020 was hosted by Arizona State University (ASU) and its Del E. Webb School of Construction, in Tempe, Arizona, on March 8-10, 2020. The theme for this conference was “Construction Research and Innovation to Transform Society.” As the built environment, including civil, industrial, building, and cyber infrastructure, evolves to support sustainable and resilient communities of the future, the construction industry will need to evolve. New infrastructure system developments are already transforming society in terms of safety, health, economics, and quality of life. The conference proceedings contain a record number of 481 peer-reviewed technical papers, which stemmed from almost 900 abstract submissions. All submissions went through a two-step review process with a minimum of two external reviewers per paper, by a scientific committee of more than 500 international construction experts. This special collection builds on some of the best CRC papers, whose authors were invited to submit journal articles in the following areas: Infrastructure Systems and Sustainability; Computer Applications in Construction; Safety, Workforce, and Education; Project Management and Controls, Materials, and Contracts.

Papers in this Collection

Use of Virtual Reality to Assess the Ergonomic Risk of Industrialized Construction Tasks
ORCID ID iconRegina Dias Barkokebas and Xinming Li, Ph.D.
Published online: December 28, 2020

Dynamic Analysis on Public Concerns in Hong Kong-Zhuhai-Macao Bridge: Integrated Topic and Sentiment Modeling Approach
ORCID ID iconJin Xue; ORCID ID iconGeoffrey Qiping Shen; Yiming Li; Shanglin Han; and Xiaoling Chu
Published online: April 15, 2021

Multitask Learning Method for Detecting the Visual Focus of Attention of Construction Workers
ORCID ID iconJiannan Cai, Ph.D., A.M.ASCE; Liu Yang; Yuxi Zhang; Shuai Li, Ph.D., A.M.ASCE; and Hubo Cai, Ph.D., M.ASCE
Published online: April 29, 2021

Topology Optimization of Architectural Panels to Minimize Waste during Fabrication: Algorithms for Panel Unfolding and Nesting
ORCID ID iconChris Rausch, Ph.D., S.M.ASCE; ORCID ID iconBenjamin Sanchez; and ORCID ID iconCarl Haas, F.ASCE
Published online: May 14, 2021

Online Hazard Recognition Training: Comparative Case Study of Static Images, Cinemagraphs, and Videos
ORCID ID iconRicardo Eiris; Eakta Jain; ORCID ID iconMasoud Gheisari, A.M.ASCE; and Andrew Wehle
Published online: May 25, 2021

Application of Data Fusion via Canonical Polyadic Decomposition in Risk Assessment of Musculoskeletal Disorders in Construction: Procedure and Stability Evaluation
Amrita Dutta; Scott P. Breloff; ORCID ID iconFei Dai, M.ASCE; Erik W. Sinsel; Christopher M. Warren; ORCID ID iconRobert E. Carey; and John Z. Wu
Published online: May 26, 2021

Component Change List Prediction for BIM-Based Clash Resolution from a Graph Perspective
Yuqing Hu, A.M.ASCE; Daniel Castro-Lacouture, M.ASCE; Charles M. Eastman; and ORCID ID iconShamkant B. Navathe
Published online: May 31, 2021

Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis for Automatic Ocular Artifact Removal from Brainwave Signals
Yizhi Liu, S.M.ASCE; ORCID ID iconMahmoud Habibnezhad, M.ASCE; Shayan Shayesteh, S.M.ASCE; ORCID ID iconHoutan Jebelli, A.M.ASCE; and SangHyun Lee, M.ASCE
Published online: June 01, 2021

Feasibility Study to Identify Brain Activity and Eye-Tracking Features for Assessing Hazard Recognition Using Consumer-Grade Wearables in an Immersive Virtual Environment
ORCID ID iconMojtaba Noghabaei, S.M.ASCE; ORCID ID iconKevin Han, Ph.D., A.M.ASCE; and Alex Albert, Ph.D., A.M.ASCE
Published online: July 12, 2021

Scan2BIM-NET: Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM
Yeritza Perez-Perez; Mani Golparvar-Fard, Ph.D., A.M.ASCE; and Khaled El-Rayes, Ph.D., M.ASCE
Published online: July 14, 2021

Barriers and Enablers to Circular Building Design in the US: An Empirical Study
ORCID ID iconFernanda Cruz Rios, Ph.D.; David Grau, Ph.D., A.M.ASCE; and Melissa Bilec, Ph.D., A.M.ASCE
Published online: July 23, 2021

Large-Scale Visual Data–Driven Probabilistic Risk Assessment of Utility Poles Regarding the Vulnerability of Power Distribution Infrastructure Systems
ORCID ID iconJaeyoon Kim; Mirsalar Kamari; Seulbi Lee, Ph.D.; and ORCID ID iconYoungjib Ham, Ph.D., A.M.ASCE
Published online: July 30, 2021

BIMASR: Framework for Voice-Based BIM Information Retrieval
Sangyun Shin, A.M.ASCE; and ORCID ID iconRaja R. A. Issa, F.ASCE
Published online: August 3, 2021

Project Validation: A Set-Based and Concurrent Design Approach to Inform Owner’s Authorization Decision on Complex Projects
ORCID ID iconDavid Grau, A.M.ASCE; Fernanda Cruz Rios; and Rachael Sherman, A.M.ASCE
Published online: August 11, 2021

Point Cloud Information Modeling: Deep Learning–Based Automated Information Modeling Framework for Point Cloud Data
Jisoo Park, A.M.ASCE; and ORCID ID iconYong K. Cho, M.ASCE
Published online: November 18, 2021