Smart growth has been gaining increasing attention among academia and practitioners as a new technology-based solution to meet the city disease challenges.In the research,we mainly accomplish two tasks.One builds an evaluation system to measure the smart growth of a city.And the other develops a growth plan.Firstly,coordination coefficient(C value) model is applied to measure the smart degree.To begin with,we divide the indicators into four aspects which involve five parameters.Then,entropy method is used to calculate the weight of every parameter.After normalizing data of indicators,we set up a smart growth indicator evaluation system.Aiming to assessing the detailed performances,we rank the eight cities according to the score of C value which corresponds to our normal cognition.Secondly,based on Salvo combat model and dynamic trend analysis model,We draw up a 20-year growth plan with a period of 5 years for the two cities we choose.The Salvo model is adopted to describe the dynamic process.Dynamic trend analysis model is introduced to gain the optimum solution and the optimal point in every stage.In addition,compared with the point of every stage,we can obtain the proportion of investment in different stages.Thirdly,to evaluate the sensitivity of our model with the OFAT Method,we adjust the parameters k_1,k_2 and O_(ij) approximately.It comes out that the change of k_1,k_2 and O_(ij) has an impact on the C value.But the sensitivity of k_1,k_2 is higher.Lastly,we analyze the influence caused by population growth.To a certain extent,it can be concluded that the plan we made can alleviate the negative impact of population growth through the analysis of the chart. Smart growth has been gaining attention among academia and practitioners as a new technology-based solution to meet the city disease challenges.In the research, we mainly accomplish two tasks. One builds an evaluation system to measure the smart growth of a city. And the other develops a growth plan. Firstly, coordination coefficient (C value) model is applied to measure the smart degree.To begin with, we divide the indicators into four things which involve five parameters. Chen, entropy method is used to calculate the weight of every parameter. After normalizing data of indicators, we set up a smart growth indicator evaluation system. Aiming to assessing the detailed performances, we rank the eight cities according to the score of C value which corresponds to our normal cognition. Secondly, based on Salvo combat model and dynamic trend analysis model, We draw up a 20-year growth plan with a period of 5 years for the two Cities we choose. The Salvo model is adopted to describe the dynamic p rocess.Dynamic trend analysis model is introduced to gain the optimum solution and the optimal point in every stage.In addition, compared with the point of every stage, we can obtain the proportion of investment in different stages.Thirdly, to evaluate the sensitivity of our model with the OFAT Method, we adjust the parameters k_1, k_2 and O_ (ij) approximately. It comes out that the change of k_1, k_2 and O_ (ij) has an impact on the C value.But the sensitivity of k_1, k_2 is higher. Lastly, we analyze the influence caused by population growth. To a certain extent, it can be concluded that the plan we made can alleviate the negative impact of population growth through the analysis of the chart.