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Modeling and performance evaluation of PPP projects utilizing IFC extension and enhanced matter-element method

Author(s):



Medium: journal article
Language(s): English
Published in: Engineering, Construction and Architectural Management, , n. 8, v. 27
Page(s): 1763-1794
DOI: 10.1108/ecam-08-2019-0429
Abstract:

Purpose

There is often a lack of accurate performance evaluation in Public–Private Partnership (PPP) projects. It is a challenging issue to effectively use Building Information Modeling (BIM) for PPP project performance evaluation. The objective of this study is to develop a PPP project performance evaluation model based on Industry Foundation Classes (IFC) and an enhanced matter-element method to more precisely evaluate PPP project performance.

Design/methodology/approach

The performance evaluation of PPP projects in the construction and operation period was explored. The PPP project performance evaluation indicator system was first established based on a literature review and PPP project practice. Then, the evaluation indicator information was expressed through IFC mapping and extension. After that, an IFC-based PPP project performance evaluation model was developed, and a case study was provided to validate the use of the proposed performance evaluation model.

Findings

The results of the case study show that the proposed approach can accurately and efficiently evaluate PPP projects, and it could favorably contribute to performance evaluation in PPP projects.

Research limitations/implications

This study only concerns the performance evaluation of one type of PPP project. Further research is required to study different types of PPP projects; the model needs to be more efficient and intelligent.

Originality/value

The performance evaluation of PPP projects utilizing IFC extension and the enhanced matter-element method provides guidance for the government and private parties to accurately and efficiently evaluate PPP project performance.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/ecam-08-2019-0429.
  • About this
    data sheet
  • Reference-ID
    10576925
  • Published on:
    26/02/2021
  • Last updated on:
    26/02/2021
 
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