The Improvement and Application of Lowry Model Based on Genetic Algorithm

摘要：

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.

作者: MENG Xianghai QIN Guanming XU Bin

作者单位: School of Transportation Science and Engineering, Harbin Institute of Technology, P.O. Box 2525＃, Hai-he Road 202, Nan-gang District, Harbin, Heilongjiang Province, 150090, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 266-270

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）