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主成分回归的新疆兵团道路客运量预测
引用本文:马雯,艾力·斯木吐拉,张劲.主成分回归的新疆兵团道路客运量预测[J].交通科技与经济,2013,15(3):80-83.
作者姓名:马雯  艾力·斯木吐拉  张劲
作者单位:1. 新疆农业大学机械交通学院,新疆乌鲁木齐,830052
2. 新疆生产建设兵团交通局,新疆乌鲁木齐,830002
基金项目:新疆生产建设兵团交通局资助课题
摘    要:道路客运量预测是道路运输业规划的基础工作,科学准确地预测新疆生产建设兵团道路客运量是制定其运输业发展规划、发展战略的重要理论依据。根据新疆生产建设兵团道路旅客运输业发展特点,运用spass统计软件,综合主成分分析法和全回归法,确定道路客运量的主要因素,构建客运量预测模型,实现spass主成分回归分析在新疆生产建设兵团道路客运量预测中的应用。

关 键 词:新疆生产建设兵团  道路运输  主成分回归  客运量  预测

Forcasting the road passenger transport capacity based on principal component regression
MA Wen , Eli Ismutulla , ZHANG Jin.Forcasting the road passenger transport capacity based on principal component regression[J].Technology & Economy in Areas of Communications,2013,15(3):80-83.
Authors:MA Wen  Eli Ismutulla  ZHANG Jin
Institution:1. School of Mechanical Engineer and Communication, Xinjiang Agricultural University, Urumqi 830052, China;2. Road Transport Bureau of Xinjiang Production & Construction Group, Urumqi 830002, China)
Abstract:The road passenger transport capacity forecast is the foundation of road transportation planning, and scientific and accurate forecast of Xinjiang Production ; Construction Group road passenger transport capacity is the important theoretical basis for its development planning and strategy. According to the development characteristics, the principal component analysis and complete regression method based on spass statistical software are used to determine the main factors and establishe the forecast model of the road passenger transport capacity. The principal component regression analysis based on spass can be realized in the Group.
Keywords:Xinjiang Production & Construction Group  road transport  principal component regression passenger capacity  forecast
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