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机构地区:[1]东南大学交通学院,南京210096
出 处:《资源调查与环境》2009年第4期285-290,共6页Resources Survey & Environment
基 金:中国地质调查局资助项目(121201010510218-5)
摘 要:针对出行生成预测中变量众多以及多重相关性问题,以常州调查数据为样本,分别采用逐步回归分析方法和偏最小二乘回归(PLSR)方法,建立基于土地利用形态的交通发生量模型。并对两者建模方法进行分析比较,结果表明PLSR能有效地解决变量多重相关性问题,模型意义清晰,效果显著。There are serious multiple correlations of the urban land-use parameters which are the independent variables in the study of the relationships between land-use and traffic generation. The problem of multiple correlations of parameters is difficult to be solved by ordinary regression analysis methods. Taking the investigated parameters of traffic generation and land-use form of Changzhou city as a sample, this paper used partial least square regression (PLSR) and stepwise regression methods to establish the traffic generation model in combination with land-use form. Comparison between the two methods shows that the PLSR method is effective and reliable to solve the problem of multiple correlations of parameters and has clear physical meaning.
关 键 词:偏最小二乘回归(PLSR) 土地利用 交通发生量 多元回归
分 类 号:P962[天文地球—自然地理学]
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