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.
Special Collection on Information Technology and the Built Environment

Guest Editors:
Yong Kwon Cho, Ph.D., Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology
Chao Wang, Ph.D., Eddie Rispone Endowed Assistant Professor, Department of Construction Management, Louisiana State University

In the recent decade, information technology (IT), including computing, communication, and sensing technology, has advanced extensively and radically transformed construction processes and built-environment management. Furthermore, the recent advances in artificial intelligence (AI) and big data analytics have enabled exploiting such data, making data-driven decisions, and improving the efficiency of operations. Papers in this special collection were invited from papers presented at the 2019 ASCE International Conference on Computing in Civil Engineering (i3CE), held in Atlanta, GA, June 17-19, 2019. The papers provide a comprehensive overview and discussion of recent technological and scientific advances and trends in the rapidly evolving IT application field. This special collection is focused on, but not limited to, the following research themes in IT: construction safety and productivity improvement using wearable sensors, infrastructure health monitoring, Building Information Model (BIM) interoperability, automated construction using natural language processing, and Internet of things (IoT) for smart and sustainable built environments.

Papers in this Collection

Information Technology and the Built Environment
ORCID ID iconYong Kwon Cho, Ph.D., M.ASCE; and Chao Wang, Ph.D., A.M.ASCE
Published online: September 7, 2021

Productivity-Safety Model: Debunking the Myth of the Productivity-Safety Divide through a Mixed-Reality Residential Roofing Task
Sogand Hasanzadeh, A.M.ASCE; and Jesus M. de la Garza, Dist.M.ASCE
Published online: August 26, 2020

Estimating Building Electricity Performance Gaps with Internet of Things Data Using Bayesian Multilevel Additive Modeling
Soowon Chang, Ph.D., A.M.ASCE; Daniel Castro-Lacouture, Ph.D., P.E., M.ASCE; and Yoshiki Yamagata, Ph.D.
Published online: September 16, 2020

Automating Utility Permitting within Highway Right-of-Way via a Generic UML/OCL Model and Natural Language Processing
Xin Xu; Kaiwen Chen; and ORCID ID iconHubo Cai, M.ASCE
Published online: September 25, 2020

Gesture Recognition–Based Smart Training Assistant System for Construction Worker Earplug-Wearing Training
ORCID ID iconSrikanth Sagar Bangaru, S.M.ASCE; ORCID ID iconChao Wang, A.M.ASCE; ORCID ID iconXu Zhou; Hyun Woo Jeon; and Yulong Li
Published online: October 13, 2020

Key Variables in Determining Energy Shaving Capacity of Buildings during Demand Response Events
ORCID ID iconXinran Yu, S.M.ASCE; and Semiha Ergan, Ph.D., A.M.ASCE
Published online: October 23, 2020

Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing
Seonghyeon Moon; Gitaek Lee; Seokho Chi, M.ASCE; and Hyunchul Oh         
Published online: October 24, 2020

Invariant Signatures of Architecture, Engineering, and Construction Objects to Support BIM Interoperability between Architectural Design and Structural Analysis
Jin Wu, S.M.ASCE; Hezha Lutfalla Sadraddin, S.M.ASCE; Ran Ren, S.M.ASCE; ORCID ID iconJiansong Zhang, A.M.ASCE; and Xiaoyun Shao, A.M.ASCE
Published online: October 25, 2020

Increasing Reliability of Participatory Sensing for Utility Pole Condition Assessment Using Fuzzy Inference
Hongjo Kim, Ph.D., Aff.M.ASCE; and ORCID ID iconYoungjib Ham, Ph.D., A.M.ASCE
Published online: November 03, 2020

Internet of Things Enabled Data Acquisition Framework for Smart Building Applications
ORCID ID iconXinghua Gao, Ph.D.; Pardis Pishdad-Bozorgi, Ph.D., A.M.ASCE; Dennis R. Shelden, Ph.D.; and Shu Tang, Ph.D.
Published online: December 04, 2020

Automatic Recognition of Workers’ Motions in Highway Construction by Using Motion Sensors and Long Short-Term Memory Networks
Kinam Kim and ORCID ID iconYong K. Cho, A.M.ASCE
Published online: December 28, 2020

Identifying the Perception Differences of Emerging Construction-Related Technologies between Industry and Academia to Enable High Levels of Collaboration
ORCID ID iconYoujin Jang, A.M.ASCE; Kinam Kim; Fernanda Leite, M.ASCE; Steven Ayer, A.M.ASCE; and ORCID ID iconYong K. Cho, M.ASCE
Published online: July 26, 2021