545
Views
1
CrossRef citations to date
0
Altmetric
Articles

A coordination game model for risk allocation of a PPP project with the weakened hedged probabilistic linguistic term information

& ORCID Icon
Pages 593-613 | Received 03 Jul 2021, Accepted 18 Apr 2022, Published online: 06 Jun 2022

References

  • Ameyaw, E. E., & Chan, A. P. C. (2016). A fuzzy approach for the allocation of risks in publicprivate partnership water-infrastructure projects in developing countries. Journal of Infrastructure Systems, 22(3), 04016016–04016013. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000297
  • Andri, J. M., Wang, J. Y., Zou, P. X. W., Zhang, J. R., & Zhong, R. Y. (2019). Fuzzy logicbased method for risk assessment of belt and road infrastructure projects. Journal of Construction Engineering and Management, 145(12), 04019082. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001721
  • Chapman, R. J. (2001). The controlling influences on effective risk identification and assessment for construction design management. International Journal of Project Management, 19(3), 147–160. https://doi.org/10.1016/S0263-7863(99)00070-8
  • Chen, B. (2020). Optimal capital structure of government-subsidized private participation in infrastructure projects. The Engineering Economist, 65(4), 321–338. https://doi.org/10.1080/0013791X.2019.1707923
  • Chen, L., Lu, Q., Li, S., He, W., & Yang, J. (2021). Bayesian Monte Carlo simulationdriven approach for construction schedule risk inference. Journal of Management in Engineering, 37(2), 04020115. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000884
  • Fattahi, R., & Khalilzadeh, M. (2018). Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety Science, 102, 290–300. https://doi.org/10.1016/j.ssci.2017.10.018
  • Hanaoka, S., & Palapus, H. P. (2012). Reasonable concession period for build-operate-transfer road projects in the Philippines. International Journal of Project Management, 30(8), 938–949. https://doi.org/10.1016/j.ijproman.2012.02.001
  • Hodge, G., & Greve, C. (2018). Contemporary public-private partnership: Towards a global research agenda. Financial Accountability & Management, 34(1), 3–16. https://doi.org/10.1111/faam.12132
  • Ke, Y. J., Wang, S. Q., Chan, A. P. C., & Lam, P. T. (2010). Preferred risk allocation in China’s public-private partnership (PPP) projects. International Journal of Project Management, 28(5), 482–492. https://doi.org/10.1016/j.ijproman.2009.08.007
  • Li, B., Akintoye, A., Edwards, P. J., & Hardcastle, C. (2005). Critical success factors for PPP/PFI projects in the UK construction industry. Construction Management and Economics, 23(5), 459–471. https://doi.org/10.1080/01446190500041537
  • Liu, Y. T., Zhang, H. J., Wu, Y. Z., & Dong, Y. C. (2019). Ranking range based approach to MADM under incomplete context and its application in venture investment evaluation. Technological and Economic Development of Economy, 25(5), 877–899. https://doi.org/10.3846/tede.2019.10296
  • Lv, J., Zhang, Y. Y., & Zhou, W. (2020). Alternative model to determine the optimal government subsidies in construction stage of PPP rail transit projects under dynamic uncertainties. Mathematical Problems in Engineering, 2020, 1–12. https://doi.org/10.1155/2020/3928463
  • Mahajan, V., Linstone, H. A., & Turoff, M. (1976). The Delphi method: Techniques and applications. Journal of Marketing Research, 13(3), 317–318. https://doi.org/10.2307/3150755
  • Maqbool, R., & Rashid, Y. (2017). Detrimental changes and construction projects: Need for comprehensive controls. International Journal of Project Organisation and Management, 9(2), 154–170. https://doi.org/10.1504/IJPOM.2017.085291
  • Metropolis, N., & Ulam, S. (1949). The monte carlo method. Journal of the American Statistical Association, 44(247), 335–341.
  • Miller, R., & Lessard, D. R. (2001). The strategic management of large engineering projects: Shaping institutions, risks, and governance. MIT press.
  • Ng, A., & Loosemore, M. (2007). Risk allocation in the private provision of public infrastructure. International Journal of Project Management, 25(1), 66–76. https://doi.org/10.1016/j.ijproman.2006.06.005
  • Pang, Q., Wang, H., & Xu, Z. S. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences, 369, 128–143. https://doi.org/10.1016/j.ins.2016.06.021
  • Qi, X., Ke, Y. J., & Wang, S. Q. (2009). Analysis of critical risk factors causing the failures of China’s PPP projects. China Soft Science, 5, 112–118.
  • Rai, S. P., Sharma, N., & Lohani, A. K. (2014). Risk assessment for transboundary rivers using fuzzy synthetic evaluation technique. Journal of Hydrology, 519, 1551–1559. https://doi.org/10.1016/j.jhydrol.2014.08.060
  • Rodriguez, R. M., Martinez, L., & Herrera, F. (2012). Hesitant fuzzy linguistic term sets for decision making. IEEE Transactions on Fuzzy Systems, 20(1), 109–119. https://doi.org/10.1109/TFUZZ.2011.2170076
  • Saaty T. L. (1988). What is the analytic hierarchy process? In Mathematical models for Decision Support (pp. 109–121). Springer. https://doi.org/10.1007/978-3-642-83555-1_5
  • Song, J. B., Yu, Y. Z., Jin, L. L., & Feng, Z. (2018). Early termination compensation under demand uncertainty in public-private partnership projects. International Journal of Strategic Property Management, 22(6), 532–543. https://doi.org/10.3846/ijspm.2018.6049
  • Sun, H., Jia, S. H., & Wang, Y. N. (2019). Optimal equity ratio of bot highway project under government guarantee and revenue sharing. Transportmetrica A: Transport Science, 15(1), 114–134. https://doi.org/10.1080/23249935.2018.1486340
  • Wang, Y. L., Cui, P., & Liu, J. C. (2018). Analysis of the risk-sharing ratio in PPP projects based on government minimum revenue guarantees. International Journal of Project Management, 36(6), 899–909. https://doi.org/10.1016/j.ijproman.2018.01.007
  • Wang, H. M., Liu, Y. H., Xiong, W., & Song, J. B. (2019). The moderating role of governance environment on the relationship between risk allocation and private investment in PPP markets: Evidence from developing countries. International Journal of Project Management, 37(1), 117–130. https://doi.org/10.1016/j.ijproman.2018.10.008
  • Wang, L. N., Wang, H., Xu, Z. S., & Ren, Z. L. (2020). A bi-projection model based on linguistic terms with weakened hedges and its application in risk allocation. Applied Soft Computing, 87, 105996. https://doi.org/10.1016/j.asoc.2019.105996
  • Wang, H., Xu, Z. S., & Zeng, X. J. (2018). Linguistic terms with weakened hedges: A model for qualitative decision making under uncertainty. Information Sciences, 433, 37–54.
  • Wang, H., Xu, Z. S., Zeng, X. J., & Liao, H. C. (2019). Consistency measures of linguistic preference relations with hedges. IEEE Transactions on Fuzzy Systems, 27(2), 372–386. https://doi.org/10.1109/TFUZZ.2018.2856107
  • Wang, L. G., & Zhang, X. Q. (2018). Bayesian analytics for estimating risk probability in PPP waste-to-energy projects. Journal of Management in Engineering, 34(6), 04018047. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000658
  • Wang, J. Y., & Zou, X. W. (2017). Infrastructure Project Risk Management. China Construction Industry Press.
  • Wang, L. N., & Xu. Z. S. (2021). The risk evaluation of PPP projects: A technique based on probabilistic linguistic terms with weakened hedges. Journal of Intelligent and Fuzzy Systems, 41(1), 1173–1191. https://doi.org/10.3233/JIFS-210101
  • Wu, Y., Li, L., Xu, R., Chen, K., Hu, Y., & Lin, X. (2017). Risk assessment in straw-based power generation public-private partnership projects in China: A fuzzy synthetic evaluation analysis. Journal of Cleaner Production, 161, 977–990. https://doi.org/10.1016/j.jclepro.2017.06.008
  • Xia, N. N., Zou, P. X. W., Liu, X., Wang, X. Q., & Zhu, R. H. (2018). A hybrid BN-HFACS model for predicting safety performance in construction projects. Safety Science, 101, 332–343. https://doi.org/10.1016/j.ssci.2017.09.025
  • Yang, T. H., & Zheng, Q. H. (2009). Project safety risk analysis based on fault tree method. Journal of Systems & Management, 18(5), 511–515.
  • Yu, Y., Darko, A., Chan, A. P. C., Chen, C., & Bao, F. (2018). Evaluation and ranking of risk factors in transnational public-private partnerships projects: Case study based on the intuitionistic fuzzy analytic hierarchy process. Journal of Infrastructure Systems, 24(4), 04018028.1–04018028.13. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000448
  • Zadeh, L. A. (1965). Fuzzy sets. )Fuzzy Sets. Information & Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
  • Zhang, S., Chan, A. P. C., Feng, Y., Duan, H., & Ke, Y. J. (2016). Critical review on PPP research a search from the Chinese and international journals. International Journal of Project Management, 34(4), 597–612. https://doi.org/10.1016/j.ijproman.2016.02.008
  • Zhang, S. H., Li, J. H., Li, Y. L., & Zhang, X. L. (2021). Revenue risk allocation mechanism in public-private partnership projects: Swing option approach. Journal of Construction Engineering and Management, 147(1), 04020153. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001952
  • Zhang, S. H., Li, J. H., Li, Y. L., & Zhang, X. L. (2021). Revenue risk allocation mechanism in public-private partnership projects: Swing option approach. Journal of Construction Engineering and Management, 147(1), 04020153. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001952