Calibration of Lowry Model Using Immune Genetic Algorithm

In order to investigate the suitability and potential benefits of applying land-use forecasting models in China, this paper presents and immune genetic algorithm for the calibration of the Lowry model based on a maximum likelihood approach. The calibration procedure comprises three stages. In the first stage, an immune genetic algorithm is employed to calibrate the population and employment potentials, together with a coefficient associated with the travel impedance function in the study area. The second stage investigates the relationship between the calibrated potentials and various land-use variables, using a multivariate stepwise regression analysis. The third stage is model validation. A case study of Hu Zou city, in Zhe Jiang province of China, was employed to demonstrate the performance of the proposed methodology. The results indicate that the calibrated Lowry model is acceptable for forecasting the future population and employment distribution in China.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784409619
• Corporate Authors:

  American Society of Civil Engineers

  Transportation and Development Institute
  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400

  China Academy of Transportation Sciences

  Ministry of Communications
  Beijing,   China  100029
• Authors:
  • Xiao, Zhong-Bin
  • Wang, Wei
• Conference:
  • The First International Symposium on Transportation and Development – Innovative Best Practices (TDIBP 2008)
  • Location: Beijing , China
  • Date: 2008-4-24 to 2008-4-26
• Publication Date: 2008

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 173-178
• Monograph Title: Transportation and Development Innovative Best Practices 2008: Proceedings of the First International Symposium

Subject/Index Terms

• TRT Terms: Calibration; Case studies; Cities; Employment; Forecasting; Genetic algorithms; Land use; Mathematical methods; Mathematical models; Population forecasting; Workforce
• Geographic Terms: Zhejiang (China)
• Subject Areas: Highways; Planning and Forecasting; I10: Economics and Administration;

Filing Info

• Accession Number: 01109640
• Record Type: Publication
• ISBN: 9780784409619
• Files: TRIS
• Created Date: Aug 25 2008 8:50AM