Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 167495, 9 pages
Research Article

Multiobjective Optimization Model of Residential Spatial Distribution

1School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
2School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
3School of Science, Beijing Jiaotong University, Beijing 100044, China

Received 27 April 2014; Revised 19 June 2014; Accepted 19 June 2014; Published 7 July 2014

Academic Editor: Robertt A. Valente

Copyright © 2014 Xia Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.