Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies-Reference-Cited by-同舟云学术

Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies

Published:2023-03 Issue:2 Volume:37 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Wang Yanyu¹,Tang Pingbo²^ORCID,Liu Kaijian³,Cai Jiannan⁴^ORCID,Ren Ran⁵,Lin Jacob J.⁶,Cai Hubo⁷,Zhang Jiansong⁸^ORCID,El-Gohary Nora⁹,Berges Mario¹⁰,Golparvar Fard Mani¹¹

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., 500 Forbes Ave., Pittsburgh, PA 15213.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., 500 Forbes Ave., Pittsburgh, PA 15213 (corresponding author). ORCID: .

3. Assistant Professor, Dept. of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ 07030.

4. Assistant Professor, School of Civil and Environmental Engineering, and Construction Management, Univ. of Texas at San Antonio, San Antonio, TX 78207. ORCID: .

5. Automation and Intelligent Construction (AutoIC) Lab, School of Construction Management Technology, Purdue Univ., 401 N. Grant St., West Lafayette, IN 47907.

6. Assistant Professor, Dept. of Civil Engineering, National Taiwan Univ., No. 1, Section 4, Roosevelt Rd., Da’an District, Taipei 10617, Taiwan.

7. Professor, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907.

8. Director and Assistant Professor, Automation and Intelligent Construction (AutoIC) Lab, School of Construction Management Technology, Purdue Univ., 401 N. Grant St., West Lafayette, IN 47907. ORCID: .

9. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana–Champaign, Mathews Ave., Urban, IL 16801.

10. Professor, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213.

11. Professor, Dept. of Civil and Environmental Engineering, Computer Science and Tech Entrepreneurship, Univ. of Illinois at Urbana–Champaign, 205 N Mathews Ave., Urbana, IL 16801.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-5077

Reference103 articles.

1. Research in Modeling and Simulation for Improving Construction Engineering Operations

2. Agarwal, R., and V. Dhar. 2014. “Big data, data science, and analytics: The opportunity and challenge for IS research.” Inf. Syst. Res. 25 (3): 443–448. https://doi.org/10.1287/isre.2014.0546.

3. AKDOT (Alaska Department of Transportation). 2019. “Road weather information system.” Accessed August 17 2019. https://www.roadweather.alaska.gov/iways/roadweather/forms/IndexForm.html.

4. Alhazmi O. Y. Malaiya and I. Ray. 2005. “Security vulnerabilities in software systems: A quantitative perspective.” In Proc. IFIP Annual Conf. on Data and Applications Security and Privacy 281–294. New York: Springer.

5. Dynamics of Project-Driven Production Systems in Construction: Productivity Function

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