城市生态交通系统评价

基于交通网络、交通体系完善性、交通环境、交通景观和交通文化五个方面提出城市生态交通协同理论体系,以既有的城市交通系统可持续发展评价指标体系为基础,构建了一套城市生态交通评价指标体系。基于BP神经网络建立一个三层的城市生态交通评价模型,选取sigmoid函数作为评价模型的传递函数,traingdx作为训练函数,隐含层单元数确定为16。根据收集到的9个城市生态交通评价指标数据,选取其中5个城市数据作为评价模型的学习样本,建立城市生态交通系统BP神经网络评价模型,并对另外4个城市数据进行一般性检验,验证了BP神经网络在城市生态交通系统评价中的准确性与适用性。

Evaluation of Urban Eco-traffic System

In this paper,we proposed the urban eco-traffic coordinated theory system from five aspects of traffic network,traffic system perfectness,transport environment,traffic landscape,and traffic culture.Then,based on the existing sustainable evaluation index system of the urban transport system,we constructed an urban eco-traffic evaluation index system.Next,we established a three-layer urban eco-traffic evaluation model based on the BP neural network,selected the sigmoid and Traingdx functions respectively as the transfer function and the training function of the evaluation model,and determined 16 hidden layer units.According to the collected eco-traffic evaluation index data of 9 cities,we chose 5 cities as the learning sample of the evaluation model,established the BP neural network evaluation model for urban ecological transport system,and conducted a general test on the data of the other 4 cities to verify the accuracy and applicability of the BP neural network in the evaluation of the urban eco-traffic system.