| 基于主成分分析的居住区停车需求预测研究 |
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| 引用本文： | 岳振中,高建平.基于主成分分析的居住区停车需求预测研究[J].河北交通科技,2006(1). |
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| 作者姓名： | 岳振中 高建平 |
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| 作者单位： | 同济大学交通运输工程学院 上海200092 |
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| 摘 要： | 在大量调查数据的基础上,通过停车特征参数的分析,提出了影响停车需求的多个因素。对其中的几个主要因素进行主成分分析,剔除权重最小的因素,建立了停车需求与剩余因素之间的预测模型。
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| 关 键 词： | 停车特征 主成分分析 停车需求 |
Research on Parking Demand Predicting in Residence Based on Principal Component Analysis Algorithm |
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| Yue Zhenzhong Gao Jianping.Research on Parking Demand Predicting in Residence Based on Principal Component Analysis Algorithm[J].Hebei Jiaotong Science and Technology,2006(1). |
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| Authors: | Yue Zhenzhong Gao Jianping |
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| Abstract: | Based on mass survey data,this paper analyzes the parking characteristics,puts forward multi-factors that influence parking demand.Then the paper discusses several main factors with principal component analysis algorithm,rejecting the factor with minimum weight.Finally,the paper constructs the predicting model among parking demand and the remaining factors. |
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| Keywords: | parking characteristics principal component analysis algorithm parking demand |
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