Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective

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...

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Main Authors: Guo, Kai, Zhang, Limao, Wang, Tao
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/159895
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1598952022-07-05T05:06:03Z Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective Guo, Kai Zhang, Limao Wang, Tao School of Civil and Environmental Engineering Engineering::Civil engineering Concession Period Optimal Design 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. Ministry of Education (MOE) Nanyang Technological University The Ministry of Education Tier 1 Grants, Singapore (No. 04MNP000279C120, No. 04MNP002126C120) and the Start Up Grant at Nanyang Technological University, Singapore (No. 04INS000423C120) are acknowledged for their financial support of this research. 2022-07-05T05:06:03Z 2022-07-05T05:06:03Z 2021 Journal Article 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 0144-6193 https://hdl.handle.net/10356/159895 10.1080/01446193.2020.1849752 2-s2.0-85097938469 2 39 156 172 en 04MNP000279C120 04MNP002126C120 04INS000423C120 Construction Management and Economics © 2020 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Concession Period
Optimal Design
spellingShingle Engineering::Civil engineering
Concession Period
Optimal Design
Guo, Kai
Zhang, Limao
Wang, Tao
Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
description 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.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Guo, Kai
Zhang, Limao
Wang, Tao
format Article
author Guo, Kai
Zhang, Limao
Wang, Tao
author_sort Guo, Kai
title Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
title_short Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
title_full Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
title_fullStr Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
title_full_unstemmed Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
title_sort concession period optimisation in complex projects under uncertainty: a public-private partnership perspective
publishDate 2022
url https://hdl.handle.net/10356/159895
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