Abstract: Urban utility tunnel is one of the most important infrastructures that ensures the sustainable develop? ment of cities, there is few evaluation index systems due to late development of urban utility tunnel construction in China. An economical and ecological evaluation index system of the urban utility tunnel, which contains three hierarchies, five dimensions and forty two indexes, was structured by establishing the elevation system framework based on DPSIR framework model, calculating index weights by BP neural and optimizing the weights by particle swarm algorithm. Taking the Xindu unban utility tunnel in Baotou as an example, it verified the feasibility of this evaluation index system. A prediction was taken by PSO-BP neural network model and the simulation output is 72.181 08,which shows good economical and ecological construction effect of this project.