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Multiobjective Optimization Model of Residential Spatial Distribution

Author

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  • Xia Li
  • Chengxiang Zhuge
  • Xiang Zhang
  • Jian Gao
  • Hui Zhang

Abstract

The concept of jobs-housing balance has been adopted as an effective way to alleviate the traffic congestion, especially in metropolis. A multiobjective model of residential spatial distribution (MOOMRSD) is developed in this paper to address the problem of how to locate the housing in a reasonable way when the workplace location is given. Three objectives are integrated into the MOOMRSD and they are (1) minimizing the average commute cost from residence to workplace; (2) minimizing the total travel time of citizens; and (3) maximizing the aggregate utility and social benefit. In addition, a multiobjective genetic algorithm (MOGA) is proposed to figure out a satisfactory solution to the MOOMRSD. Finally, Both MOOMRSD and MOGA are applied into two cases.

Suggested Citation

  • Xia Li & Chengxiang Zhuge & Xiang Zhang & Jian Gao & Hui Zhang, 2014. "Multiobjective Optimization Model of Residential Spatial Distribution," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-9, July.
    • Handle: RePEc:hin:jnlmpe:167495
    DOI: 10.1155/2014/167495
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