Research on the Influence of Traffic Factors Based in Mixed Logit Model on Short-Rent Lease of Housing

With the aim to explore the influence of traffic factors on short-rent housing lease, this paper utilizes the utility function from the aspects of traffic convenience, traffic accessibility, generalized transportation cost, location advantage, road safety and traffic environment. We construct a mixed logit selection optimization model based on dis-aggregate theory, in which the reliability analysis and correlation analysis of SPSS are used as the basis for the tenant to decide short-rent housing. Based on the obtained questionnaire data of D-optimal method and the influence of different traffic modes and travel purposes on utility coefficient, maximum likelihood estimate (MLE) is introduced to solve the weight ratio, Matlab programming is used to solve to MLE, which shows that: expanding the traffic convenience and the accessibility of transportation infrastructure along the short rental housing source is the most effective means to stimulate the short rental market. Moreover, the reduction of transportation cost and the improvement of location advantage have a positive impact on short-rent housing rental satisfaction, demand and flexible price advantages. The evaluation value of road safety and traffic environment weight is on the low side, and the expected utility space is huge. Strengthening the service level of the vehicle will be conducive to share the running pressure of the rail transit.