Complexity / 2018 / Article / Tab 1

Research Article

The Complexity and Simulation of Revenue Sharing Negotiation Based on Construction Stakeholders

Table 1

The meaning of the parameters in the model.

ParameterDescription

The increase in system revenue
The per unit of time revenue of the project operation
The planned construction period
The optimized operation period
The owner’s profits
The contractor’s profits
The contractor obtains the proportional benefit from the
The cost that the owner must pay to optimize the timescale of a project
The cost that the contractor must pay to optimize the timescale of a project
The minimum required quality standard for the project
The planned quality standard
The project quality after construction period optimization
The owner’s increasing maintenance expense ratio due to the quality factor
The original planned project operation cycle
The maintenance coefficient of the owner’s quality cost
The impact factor of construction time on cost
The impact factor of construction time on quality
The shortest construction time corresponding to the minimum quality requirements
The contractor’s profit in the time optimization process
The optimal construction period
The weight parameters when the contractor’s profit is greater than the owner’s
The weight parameters when the contractor’s profit is smaller than the owner’s
The change magnitude of
The experience weight
The historical experience discount factor
The attractiveness index of strategy to agent
The discount factor of
The expected utility of strategy adopted by agent at time
The weight of the subject’s emphasis on the strategy
It shows whether agent adopts strategy
The sensitivity of in strategy selection

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19.