• 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