The Analysis of Demand Characteristics of Passenger Transportation Based on BP Neural Network

被引：2
|
作者：
Liao, Yong [1 ]
Wu, Tao [1 ]
机构：
[1] Civil Aviat Flight Univ China, Coll Air Traff Management, Guanghan 618307, Sichuan, Peoples R China
来源：
SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2 | 2013年 / 409-410卷
关键词：
passenger transportation; demand characteristics; BP neural network;
D O I：
10.4028/www.scientific.net/AMM.409-410.1292
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
To quantitatively analyze travelers' preference under different influence factors on transport mode, the thoughts of orthogonal design is introduced into optimizing questionnaires without the loss of information. Combined with stated preference survey method, data related to travelers' preference are collected. In order to analyze survey data scientifically and roundly,BP neural network is used. By taking non-investigated options as inputs, BP neural network can figure out the scores of all options which are not be surveyed. At last a numeric example demonstrates the use of BP neural network in the analysis of demand characteristic of passenger transposition is valid and feasible.
引用
收藏
页码：1292 / 1295
页数：4
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