Parking Demand Forecasting for Center Business District of New Urban Area

doi:10.3969/j.issn.1674-0696.2012.05.24

Journal of Chongqing Jiaotong University(Natural Science) ›› 2012, Vol. 31 ›› Issue (5): 1018-1022.DOI: 10.3969/j.issn.1674-0696.2012.05.24

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Parking Demand Forecasting for Center Business District of New Urban Area

Zhang Feifei，Wu Bing，Li Linbo

Key Laboratory of Road ＆ Traffic Engineering of the Ministry of Education，Tongji University，Shanghai 201804，China

Received:2011-11-10 Revised:2011-12-12 Online:2012-10-15 Published:2015-01-22

新城区CBD 区域停车需求预测方法

张飞飞，吴兵，李林波

同济大学道路与交通工程教育部重点实验室，上海201804

作者简介:张飞飞(1986—)，女，山东德州人，硕士研究生，主要从事交通运输规划与管理方面的研究。E-mail:feifei105808@sina.com。
基金资助:
国家自然科学基金项目( 70901057) ; 高等学校博士学科点专项科研基金项目( 200802470030)

Abstract

Abstract: Based on the main existing methods and characteristics of center business district in new urban area，the applicability of the existing methods to the parking demand forecasting for center business district of new urban area was analyzed; according to the intensity of trip attraction and traffic mode split，method of parking demand forecasting for center business district of new urban area was presented after taking the land and traffic characteristics into consideration． Center business district of west passenger station in Jinan was used as an example to verify the method．

Key words: traffic planning, static traffic, demand forecasting, new urban area

摘要： 在总结现有停车需求预测模型及新城区CBD 区域停车特征的基础上，分析了现有模型对新城区CBD 区域停车需求预测的适应性。针对现有模型在停车预测时存在的不足之处，综合考虑新城区CBD 区域用地特征及交通特性，根据出行吸引强度及交通方式划分，构建适用于新城区CBD 区域的停车需求预测模型，并结合济南西客站片区 CBD 区域进行实例验证。结果表明了该预测方法的可行性及结果的合理性。

关键词: 交通规划, 静态交通, 需求预测模型, 新城区

CLC Number:

U491.1

Zhang Feifei，Wu Bing，Li Linbo. Parking Demand Forecasting for Center Business District of New Urban Area[J]. Journal of Chongqing Jiaotong University(Natural Science), 2012, 31(5): 1018-1022.

张飞飞，吴兵，李林波. 新城区CBD 区域停车需求预测方法[J]. 重庆交通大学学报（自然科学版）, 2012, 31(5): 1018-1022.

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Parking Demand Forecasting for Center Business District of New Urban Area

新城区CBD 区域停车需求预测方法

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