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.
Document type: Article
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- http://downloads.hindawi.com/journals/mpe/2014/167495.pdf under the license https://creativecommons.org/licenses/by
- http://dx.doi.org/10.1155/2014/167495 under the license cc-by
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Published on 01/01/2014
Volume 2014, 2014
DOI: 10.1155/2014/167495
Licence: Other
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