Evaluation Model of Sustainable Development for Railway Transportation Based on BP Neural Network

Abstract

This study evaluates the level of sustainable development for railway transportation based on back-propagation (BP) neural network. Four aspects, which cover the conception of economy, society, environment and resource, are considered when constructing the index system, which is optimized through Principle Component Analysis. An evaluation model based on BP neural network is constructed and the railway enterprise in China is taken as the study case, the results show that the evaluation model based on BP neural network is creditable and effective. The results reveal that the trend of sustainable development of railway transportation is gradually upward despite a low overall level, holding that it has massive potential to improve.