[1]冉江宇,过秀成,陈永茂,等.基于聚类非参数检验的动态停车需求分布特征[J].东南大学学报(自然科学版),2011,41(4):871-876.[doi:10.3969/j.issn.1001-0505.2011.04.040]
 Ran Jiangyu,Guo Xiucheng,Chen Yongmao,et al.Dynamic parking demand distribution character based on clustering non-parameter tests[J].Journal of Southeast University (Natural Science Edition),2011,41(4):871-876.[doi:10.3969/j.issn.1001-0505.2011.04.040]
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基于聚类非参数检验的动态停车需求分布特征()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
41
期数:
2011年第4期
页码:
871-876
栏目:
交通运输工程
出版日期:
2011-07-20

文章信息/Info

Title:
Dynamic parking demand distribution character based on clustering non-parameter tests
作者:
冉江宇1过秀成1陈永茂2羊钊1张晔3唐亮1
(1东南大学交通学院, 南京 210096)
(2深圳市城市交通规划设计研究中心有限公司, 深圳 518034)
(3北京市城市规划设计研究院, 北京 100045)
Author(s):
Ran Jiangyu1Guo Xiucheng1Chen Yongmao2Yang Zhao1Zhang Ye3Tang Liang1
(1School of Transportation, Southeast University, Nanjing 210096, China)
(2Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518034, China)
(3Beijing Municipal Institute of City Planning and Design, Beijing 100045, China)
关键词:
动态停车需求分布特征聚类非参数检验研究流程
Keywords:
dynamic parking demand distribution character cluster non-parameter test research process
分类号:
U491
DOI:
10.3969/j.issn.1001-0505.2011.04.040
摘要:
为了探索动态停车需求的分布特征,提出聚类非参数检验分析方法.该方法按照个体-组-类的顺序对多时段随机变量进行聚合,在各聚合阶段运用相应的非参数检验方法校核结果,在确保拟合精度的同时,采用相应的模型描述动态随机变量的分布特征.结合该方法的运用,从问题确定、数据调查、数据处理与分析以及分布特征的归纳总结等环节详细阐述了动态停车需求分布特征的分析流程.以南京市新世界中心为例予以应用,对该建筑配建停车场工作日的动态停车需求分布特征进行了分析,基于拟合得到的10种泊松分布模型和7种伽马分布模型,对分布特征的变化特性进行了归纳总结.
Abstract:
To explore the distribution characters of dynamic parking demands, an analysis method of clustering non-parameter tests is proposed. Multi-period random variables are aggregated according to the sequence of single, group, cluster, and relative non-parameter tests are used during different aggregation phases to validate results, with an aim to obtain models of proper amount to describe dynamic random variables’ distribution character and assure the fitting precision simultaneously. Based on the method, the research process of dynamic parking demands’ distribution character is introduced from four aspects such as definition of the problem, collection of data, treatment and analysis of data, and conclusion of the distribution characters. The New World Center in Nanjing is taken as a case study. The dynamic parking demands’ distribution characters of the accessory parking lot during workday is effectively explored and the variation of the distribution characters is concluded based on the acquired ten Poisson distribution models and seven Gamma distribution models.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:冉江宇(1985—),男,博士生;过秀成 (联系人),男,博士,教授,博士生导师,seuguo@163.com.
基金项目:住房和城乡建设部2010年科学技术资助项目(2010-K5-16).
引文格式: 冉江宇,过秀成,陈永茂.等.基于聚类非参数检验的动态停车需求分布特征[J].东南大学学报:自然科学版,2011,41(4):871-876.[doi:10.3969/j.issn.1001-0505.2011.04.040]
更新日期/Last Update: 2011-07-20