补贴
伤亡人数
公私合营
普通合伙企业
业务
利润(经济学)
利润最大化
产业组织
概率逻辑
财务
环境经济学
经济
微观经济学
计算机科学
市场经济
人工智能
生物
遗传学
作者
Lulu Jin,Zhanmin Zhang,Jinbo Song
标识
DOI:10.1061/(asce)me.1943-5479.0000766
摘要
Public–private partnership (PPP) toll road projects are widespread around the world. However, it is difficult to predict traffic demand and cost accurately, which may lead to high profit risks for the private sector or increase the fiscal burden for the government. This paper proposes an effective methodological framework for the probabilistic evaluation of the excess profit allocation between the government and the private investor, as well as the corresponding subsidy mechanism. First, an annual profit function is introduced, taking particular care to include factors associated with uncertainties. Then, by applying Monte Carlo simulation to a proposed dynamic quantitative model, the excess profit allocation ratio and subsidy ratio are determined. The model was verified using SH 130, a PPP toll road in Texas, for which a sensitivity analysis was conducted to illustrate the impact of different risk factors. This paper provides a knowledge base so that decision makers can recognize the importance of accurately forecasting profit risks in order to provide a reasonable and fair profit redistribution mechanism to facilitate PPP contract design.
科研通智能强力驱动
Strongly Powered by AbleSci AI