Chapter
Jun 13, 2019
ASCE International Conference on Computing in Civil Engineering 2019

Dynamic Agent-Based Simulation of Information Transfer in Collaborative Project Network

Publication: Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation

ABSTRACT

The efficiency and effectiveness of information transfer in collaborative project networks directly affect successful delivery of collaborative projects, especially large-scale construction projects. However, current research seldom explored the information transfer mechanism in collaborative project networks in a dynamic fashion. The purpose of this study is to investigate the dynamic information transfer mechanism in collaborative project networks. An agent-based model is established and programmed in NetLogo, which simulates dynamic information transfer processes of collaborative project networks. The key part of the model is the rules system that includes three aspects: the rules of information dissemination, rules of information absorption, and rules of efficiency and effectiveness evaluation of information transfer. The case study of a typical collaborative project is conducted to perform the model. The simulation results show that the model can present dynamic processes of information transfer in collaborative project networks. Based on the model, strategies of network structure adjustments can be proposed to promote the efficiency and effectiveness of information transfer in future research.

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ACKNOWLEDGMENTS

This research was financially supported by the National Natural Science Foundation of China (No. 71572094, 71701121) and the State Scholarship Fund of China Scholarship Council. Special thanks are also given to Dr. Yina Zou for suggestions.

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Published In

Go to Computing in Civil Engineering 2019
Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation
Pages: 602 - 610
Editors: Yong K. Cho, Ph.D., Georgia Institute of Technology, Fernanda Leite, Ph.D., University of Texas at Austin, Amir Behzadan, Ph.D., Texas A&M University, and Chao Wang, Ph.D., Louisiana State University
ISBN (Online): 978-0-7844-8242-1

History

Published online: Jun 13, 2019

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Authors

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Shaochong Gao [email protected]
Ph.D. Candidate, Dept. of Management Science and Engineering, School of Management, Shandong Univ., Jinan 250100, China. E-mail: [email protected]
Assistant Professor, School of Building Construction, College of Design, Georgia Institute of Technology, Atlanta 30332, USA. E-mail: [email protected]
Ronggui Ding [email protected]
Professor, School of Management, Shandong Univ., Jinan 250100, China (corresponding author). E-mail: [email protected]

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