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Abstract
The involvement of the private sector in the construction or operation of an infrastructure project may enhance the financial viability of projects, which facilitates the formation of public-private partnership (PPP) for project delivery. PPP exploits the strength of the private sector by shifting certain project risks from the public party to the private sector who can efficiently manage certain risks. In joint railway and housing development, the approach of bundling railway and housing development (R&HD) allows cross-subsidization between immense railway construction cost and profitable housing rental revenue. This approach also provides flexibility in incorporating PPP models by distributing railway and housing revenues and costs and their inherent risks properly to the public and private sectors. Ng and Lo (2015a) developed an evaluation framework for joint railway and property development, which evaluates PPPs based on financial and construction criteria for selecting the best suitable PPP for a particular project. This study, which is based on the framework in Ng and Lo (2015a), aims to examine the robustness of various PPP configurations. This study analyzes the effects of PPP configurations on stakeholders’ risks and returns under population or demand growth and railway construction cost uncertainties. The eventual outcome of particular PPP configurations is also examined. This study also seeks to answer the following questions: How would optimal configuration change under highly volatile population and railway construction cost? Are there PPP configurations that are robust to these uncertainties and those that are sensitive to a particular uncertainty? This understanding is critical for managing risks and facilitating the formation of appropriate PPP for R&HD.
Keywords
public-private partnership
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BFOOD
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housing and railway development
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Ka Fai NG, Hong K. LO, Yue HUAI.
Robust public-private partnerships for joint railway and property development.
Front. Eng, 2017, 4(4): 437-450 DOI:10.15302/J-FEM-2017068
| [1] |
Ashuri B, Kashani H, Molenaar K R, Lee S, Lu J (2012). Risk-neutral pricing approach for evaluating BOT highway projects with government minimum revenue guarantee options. Journal of Construction Engineering and Management, 138(4): 545–557
|
| [2] |
Chow J Y J, Regan A C (2011a). Real option pricing of network design investments. Transportation Science, 45(1): 50–63
|
| [3] |
Chow J Y J, Regan A C (2011b). Network-based real option models. Transportation Research Part B: Methodological, 45(4): 682–695
|
| [4] |
Cox J C, Ross S A, Rubinstein M (1979). Option pricing: A simplified approach. Journal of Financial Economics, 7(3): 229–263
|
| [5] |
Dixit A K, Pindyck R S (1994). Investment Under Uncertainty. Ameirica: Princeton University Press
|
| [6] |
Gao Y, Driouchi T (2013). Incorporating Knightian uncertainty into real options analysis: Using multiple-priors in the case of rail transit investment. Transportation Research Part B: Methodological, 55: 23–40
|
| [7] |
Ho S P, Liu L Y (2002). An option pricing-based model for evaluating the financial viability of privatized infrastructure projects. Construction Management and Economics, 20(2): 143–156
|
| [8] |
Hull J (2009). Options, Futures and Other Derivatives. 7th ed. New Jersey: Pearson/Prentice Hall
|
| [9] |
Li Z C, Guo Q W, Lam W H K, Wong S C (2015). Transit technology investment and selection under urban population volatility: A real option perspective. Transportation Research Part B: Methodological, 78: 318–340
|
| [10] |
Ma X, Lo H K (2012). Modeling transport management and land use over time. Transportation Research Part B: Methodological, 46(6): 687–709
|
| [11] |
Myers S C (1977). Determinants of corporate borrowing. Journal of Financial Economics, 5(2): 147–175
|
| [12] |
Ng K F, Lo H K (2015a). An option pricing-based evaluation of public-private partnerships for joint railway and property development. In: Proceedings of the 20th Conference of Hong Kong Society for Transportation Studies (HKSTS)
|
| [13] |
Ng K F, Lo H K (2015b). Optimal housing supply in a bid-rent equilibrium framework. Transportation Research Part B: Methodological, 74: 62–78
|
| [14] |
Ng K F, Lo H K (2017). On joint railway and housing development: Housing-led versus railway-led schemes. Transportation Research Part B: Methodological (in press)
|
| [15] |
Saphores J D M, Boarnet M G (2006). Uncertainty and the timing of an urban congestion relief investment. Journal of Urban Economics, 59(2): 189–208
|
| [16] |
Soomro M A, Zhang X (2011). Analytical review on transportation public private partnerships failures. International Journal of Sustainable Construction Engineering and Technology, 2(2): 62–80
|
| [17] |
Tang S, Lo H K (2010). Assessment of public private partnership models for mass rail transit-an influence diagram approach. Public Transport (Berlin), 2(1–2): 111–134
|
| [18] |
Trigeorgis L (1996). Real Options: Managerial Flexibility and Strategy in Resource Allocation. Cambridge: MIT Press
|
| [19] |
Zhang X Q (2005). Critical success factors for public-private partnerships in infrastructure development. Journal of Construction Engineering and Management, 131(1): 3–14
|
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The Author(s) 2017. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)