Multiobjective Optimization Model of Residential Spatial Distribution

Abstract EN

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.