A Framework for developing the automated management system of environmental complaints in construction projects

  • Hong, Juwon (Department of Architecture and Architectural Engineering, Yonsei University) ;
  • Kang, Hyuna (Department of Architecture and Architectural Engineering, Yonsei University) ;
  • Hong, Taehoon (Department of Architecture and Architectural Engineering, Yonsei University) ;
  • An, Jongbaek (Department of Architecture and Architectural Engineering, Yonsei University) ;
  • Jung, Seunghoon (Department of Architecture and Architectural Engineering, Yonsei University)
  • Published : 2020.12.07

Abstract

Vast quantities of environmental pollutants from construction projects are causing significant damage to nearby local communities and thus generate environmental complaints. The construction company, responsible for compensating and resolving environmental complaints, suffers economic damages due to additional expenditures and schedule delays in construction projects. Meanwhile, the construction industry can stagnate from a broader perspective. Therefore, this study aimed to propose a framework for developing an automated management system which consists of two models for environmental complaints in construction projects: (i) the prediction model: a model for predicting environmental complaints based on factors related to environmental complaints; and (ii) the prevention model: a model for providing construction companies with the optimal prevention measure to effectively prevent environmental complaints according to the results of the prediction model. In addition, the algorithm for integrating the developed models into the management system in construction projects was proposed. Eventually, the application of the management system to construction projects can ensure the profitability of construction companies and mitigate damage from environmental pollutants to the nearby local community.

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Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2018R1A5A1025137).