The Model of Parking Demand Forecast for the Urban CCD

被引:20
作者
Cheng Tiexin [1 ]
Tai Miaomiao [1 ]
Ma Ze [2 ]
机构
[1] Tianjin Polytech Univ, Coll Management, Tianjin, Peoples R China
[2] Tianjin Traff Police Bur, Tianjin, Peoples R China
来源
2012 INTERNATIONAL CONFERENCE ON FUTURE ENERGY, ENVIRONMENT, AND MATERIALS, PT B | 2012年 / 16卷
关键词
Central Commercial District(CCD); Parking Lot; Parking Demand Forecast; Capacity of Road Network;
D O I
10.1016/j.egypro.2012.01.221
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the increase of the number of automobiles, the city parking demand occurred a rapid growth, and the city automobile parking had become a very serious traffic problem for Central Commercial District in cities. The parking demand forecast is the key of public parking planning and provides the basic data for the size of the parking lot. On the basis of the Parking Generation Rate Model, the improved model was set up, considering more factors, such as the average turnover rate, parking place occupancy, service level, parking fees and growth rate of automobiles. Meanwhile, the capacity of road network is applied to rectify the short-term parking demand forecast. Finally, the model was applied to Binjiang Road CCD, Tianjin, China. (C) 2011 Published by Elsevier B.V. Selection and/or peer-review under responsibility of International Materials Science Society.
引用
收藏
页码:1393 / 1400
页数:8
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