Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159895
Title: Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
Authors: Guo, Kai
Zhang, Limao
Wang, Tao
Keywords: Engineering::Civil engineering
Issue Date: 2021
Source: Guo, K., Zhang, L. & Wang, T. (2021). Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective. Construction Management and Economics, 39(2), 156-172. https://dx.doi.org/10.1080/01446193.2020.1849752
Project: 04MNP000279C120 
04MNP002126C120 
04INS000423C120 
Journal: Construction Management and Economics 
Abstract: Concession period is decisive in public–private partnership (PPP) projects, particularly for complex projects. A systematic approach incorporating real option analysis (ROA) is proposed to optimise the concession under uncertainty. Options are explored to manage uncertainty in the long concession of PPP projects and an optimisation principle is proposed for the concession optimisation. Sensitivity analysis and case comparison are suggested to test the validity of the optimised concession. Applicability of the approach is tested with a PPP utility tunnel case, in which options to expand and recoup are investigated. Important findings include: (1) interests of participants are balanced through the optimisation, the investment value of the project is increased; (2) profit-sharing mechanism is identified as the most important factor, and a prudent design of it can effectively manage uncertainty; (3) option to recoup can optimise the concession period without harming private developer's interest. This research's novelty lies in (a) exploring the management flexibility and identifying potential options in the concession period of PPP projects; (b) a hybrid approach with the integration of ROA and Sobal-based global sensitivity analysis is proposed to perform the concession optimisation; (c) the profit-risk allocation between participants in PPP projects is balanced under the optimisation principle.
URI: https://hdl.handle.net/10356/159895
ISSN: 0144-6193
DOI: 10.1080/01446193.2020.1849752
Schools: School of Civil and Environmental Engineering 
Rights: © 2020 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

SCOPUSTM   
Citations 50

6
Updated on Sep 24, 2023

Web of ScienceTM
Citations 20

6
Updated on Sep 19, 2023

Page view(s)

63
Updated on Sep 26, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.