Owing to the development of transportation, the convenience is increased in socially and economically.
Fundamentally, this problem is occurred by increasing vehicle registration number so that the number of using vehicle increasing as well.
The most part of the vehicle registration number is the household vehicle.
So, we analysed that what factor is affecting the house hold vehicle ownership through the research.
For the analyse the factor which is affecting the house hold vehicle ownership, carry out the house hold vehicle ownership pattern based on plotting commute trips of the travel diary survey, and carry out the analysis of house hold vehicle ownership structure through the Ordered-Logit Model.
And carrying out the survey that vehicle using and possession awareness for learner driver then analyse the relation between vehicle preference and vehicle possession intention through the structural equating model.
Also, analyse the relation that is vehicle preference, household property and vehicle possession intention.
The result of study is following.
Through the analysis of vehicle ownership pattern, the most of households which have a car lower than 2 car have only private car but the households which have a car over than 3 car have a private car and other car at the same time. So if the number of car-own is increasing, the ratio of households that have only private car is decreasing but the ratio of households that have a private car and other car at the same time is increasing.
Through the analysis of vehicle ownership structure per households, the factors which are affect to the probability of level of vehicle ownership increasing are the number of household member, the number of learner driver, the number of office worker, the monthly income of household, the age of householder, the number of preschooler.
Another factor that affect to the increasing the number of private car is that in case of type of housing is apartment, in case of tenure type is own-house compare with other cases of households.
Through the analysis of using private car and possession awareness, the preference of household vehicle ownership is high when vehicle preference is high , household member is many and household vehicle is low.
This study result is considered that the basic data for future traffic demand management.