| The highway engineering quota is the important basis for highway engineering cost and investment analysis. With the development of market economy in China, the highway engineering quota has been required more accurate and opportune. However, traditional methods are always used in compilation of highway engineering quota currently, which can not satisfy with the requirement of market economy and the development of highway engineering cost management. To meet the development of highway engineering cost management and maximally use a large number of construction statistics, this paper studies a new method to deal with construction statistics in compilation of highway engineering quota, which laid a foundation for improving the theory of highway engineering quota.Through access to literature, information and other preparatory work, this paper based on the theory and method of compilation of highway engineering quota, analyzing the deficiencies of traditional statistical analysis method dealing with construction statistics collected under multiple environments.This paper introduces the theory of highway engineering quota compiled firstly, then contrasts several compilation methods of quota, indicating the feasibility of using statistical analysis method in compilation of highway engineering quota, when there are lots of construction statistics. Based on analyzing the source and features of the construction statistics, it proposes general provisions of construction statistics used in compilation of quota. After that, it analyzes the deficiencies of traditional statistical analysis method, then proposes using improved analysis hierarchy process (IAHP), gray cluster and data slip method to make up for deficiencies, and constructs the calculating model for highway engineering statistical quota. Finally, it combines the researching topic of the research on charge standard of maintenance and strengthening of highway bridges in Yunnan province and example analysis on the constructed calculating model, and then, applies the result in actual projects to test the reliability of the result and the feasibility of the calculating model. |