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Work from home and online meetings have become spread due to a new lifestyle that prevents infection with the covid-19. With this spread, the workplace and the residence place do not necessarily have to be close to each other, which has an impact on our life. While it has become possible to choose a residence place that is not tied to the workplace. However, if it does not guide local city migration and country life to the right areas, It will become urban sprawl, and there is concern about the widening of the city. In this study, we analyzed changes in residence place and change in intention to choose a place of residence in the COVID-19. As a result, we pointed out that the way of thinking about choosing a residence place has changed, and that the actual situation of the residence place is also affected by the COVID-19.

This study aims to understand the crucial factors affecting vehicle ownership in the local city, Japan. 14,855 household sample data in Toyota City are used as the research sample. The sample data are extracted from the 5th Person Trip Survey data in the Chukyo region. First, the unknown annual income is complemented by using an ordered probit model. Then, a trivariate ordered probit model is utilized to analyze ownership of light motor vehicles, ordinary motor vehicles, and small trucks simultaneously. To estimate unknown parameters effectively and efficiently, one type of Markov Chain Monte Carlo methods called the Gibbs Sampler algorithm is applied in this study. The significant findings suggest the following: (1) the annual income only affects the ownership of ordinary motor vehicles; (2) a household with a 60-year-old or older householder is more likely to own small trucks, compared to that with a householder below the age of 60; (3) the population density negatively affects the number of light motor vehicles and that of small trucks; (4) there is a substitution effect of vehicle ownership between light motor vehicles and small trucks.