Abstract: As part of economic progress, there has been a surge in construction projects in the past few years. It is known that construction has negative and detrimental effects on the environment. The use of sustainable practices needs to be integrated into the construction processes to minimize these negative impacts. This paper introduces a prioritization method for determining the most influential factor to the implementation of environmental smart guidelines for sustaining environmentally friendly programs using sensitivity index (SI) method. Several areas were considered in this study including environmental, ecological, social, and economic impacts. Using the backpropagation-neural network (BPNN) modeling, four models for environmental, ecological, social, and economic impact ratings were developed with 15-31-1, 4-9-1, 9-19-1, and 2-5-1 network topologies (input neuron-hidden neuron-output neuron) for environmental, ecological, social, and economic impact rating, respectively. The R values for the models were observed to range from 0.97652 to 0.99901. To determine the trend of the impact of the subsets of each areas, sensitivity index method was used and the findings revealed that the water pollution reduction in the project is the most influential subset to the environmental impact rating, presence of planting area in the project for the ecological impact rating, fair sharing of benefits of the project for the social impact rating, and self-liquidation capacity of the project for the economic impact rating. The results of the study could assist managers and planners in addressing key areas and concerns in the effective implementation of smart and sustainable practices in projects.