Residential Choice Based on Traffic and Location Fuzzy Attributes

In order to explore the influence factors of residential choice, we established the housing valuation model by discussing the four factors of the completeness of facilities, quality of public services, location environment, accessibility evaluation index of each district. By the contract mode, we could obtain the utility of housing price of each family. Through impedance of different traffic modes, we could obtain the generalized transportation cost of family. According to the family influenced by housing price, influence factors of the district and traffic, the nonlinear programming model was established which was to find the best district for family. Examples show that: higher-income family more willing to choose the residence base on the good completeness, high quality of public services and good location environment, such as district 1, 2, 4, 6, 14. Low-income family is more inclined to choose the higher utility of housing and accessibility, such as the district 7, 9, 16, 21. This shows that the important of residential choice by the various district factors, the housing prices and the traffic. The combination of fuzzy and optimization to consider the choice of residence, not only consider the effectiveness of the decision making process but also reflect the thinking process.