DocumentCode :
3346712
Title :
Study on the application of shared parking analytical thoery to mixed land use
Author :
Yang-sheng, Jiang ; Bo, Peng ; Lu, Hu ; Lu-chuan, Dai
Author_Institution :
Coll. of Traffic & Transp., Southwest Jiaotong Univ., Chengdu, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
4126
Lastpage :
4130
Abstract :
“Parking problem” has become a widespread problem of large or medium cities at home and abroad, especially in urban mixed land use. There are some certain limitations of the commonly used method of calculating parking demand in accordance with the indicators of signal blocks, for it may overly estimate the parking demand of mixed land use. On the basis of parking demand indicators of a single block, this paper focuses on the mechanism of shared parking in mixed land use, analyzes factors having an affect on parking demand such as geographic condition, time variations of parking demand of each block, the relationships of activities among different blocks and others, proposes a process and method of shared parking demand analysis and calculation. Especially, quantitative calculating methods of parameters related to Shared Parking Analysis are proposed. Finally the validity of the method is verified through the calculation and analysis over an example of mixed land use in Chengdu, which indicates that the scale of allocated parking spaces to be set can be reduced in mixed land use, as well as provides a practical reference for properly determining indicators of allocated parking spaces to be set.
Keywords :
land use planning; road traffic; transportation; parking problem; shared parking demand analysis; signal block indicator; time variation; urban mixed land use; Cities and towns; Educational institutions; Laboratories; Signal analysis; Signal processing; Transportation; Mixed Land Use; Parking; Shared Parking; Time Variations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5535463
Filename :
5535463
Link To Document :
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