DocumentCode :
477486
Title :
The Improvement and Application of Lowry Model Based on Genetic Algorithm
Author :
Meng Xianghai ; Qin Guanming ; Xu Bin
Author_Institution :
Sch. of Transp. Sci. & Eng., Harbin Inst. of Technol., Harbin
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
266
Lastpage :
270
Abstract :
The population and employment distribution functions of Lowry model are improved by introducing the population adjustment factor and the employment adjustment factor, which can develop greatly the precise of the Lowry model. These two functions are calibrated by genetic algorithm, and then the types of land use that contribute greatly to these two adjustment factors are determined by the multi-stepwise regression analysis. According to the land use in the target year, the population adjustment factor as well as the employment adjustment factor can be calculated. Furthermore, the number of population and employment can be predicted by this improved Lowry model. The results predicted can be taken as the fundamental data for trip production forecast.
Keywords :
employment; genetic algorithms; regression analysis; transportation; Lowry model; employment adjustment factor; employment distribution functions; genetic algorithm; land use; multi-stepwise regression analysis; population adjustment factor; trip production forecast; Automation; Cities and towns; Distribution functions; Employment; Genetic algorithms; Genetic engineering; Impedance; Production; Traffic control; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.403
Filename :
4659487
Link To Document :
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