Construction Site Layout Planning: A Social Network Analysis

Author:

Salah Mona1ORCID,Khallaf Rana2,Elbeltagi Emad1ORCID,Wefki Hossam3ORCID

Affiliation:

1. Structural Engineering Department, Mansoura University, Mansoura 35516, Egypt

2. Structural Engineering and Construction Management Department, Future University in Egypt, Cairo 11835, Egypt

3. Civil Engineering Department, Port Said University, Port Fouad City 42526, Egypt

Abstract

Construction site layout planning (CSLP) is the strategic arrangement and planning of construction site spaces, which has an enormous impact on the success of any construction project. Over the past two decades, multiple planning models have been developed to generate layouts that maintain safety and productivity within the construction environment. Yet these models vary significantly with disparate assumptions, many of which remain unstated. This study harnesses social network analysis (SNA) as a means to convert data into knowledge. It applies SNA to shed light on CSLP, providing a comprehensive overview of the existing models, and illuminating the critical parameters that should be considered in layout planning. This analysis delves deep into past methodologies and sets the potential for forthcoming research investigations. This study aims to be a reference for readers and researchers venturing into the realm of CSLP. Numerous related records and studies from diverse databases and sources were reviewed and analyzed. Out of these, 70 articles were singled out, from which 14 pivotal parameters were distilled as the foundation for any CSLP framework. Through the application of SNA, gaps within the existing research domain and literature were pinpointed. The study findings demonstrate the growing interest in shifting to cutting-edge approaches in CSLP. However, the results show that the majority of these models in the literature fall short of sufficiently addressing realistic facility representation, noise effects, or the construction impact on the surrounding environment. Accordingly, this research illuminates these knowledge gaps. The findings of this review guide future research by sketching a broad outline for future optimization models and planning studies.

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference92 articles.

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