英文摘要 |
The impacts of transportation policy on urban residential and commercial rent has generally been approved, but the measurement of the impact effects is still remaining uncertain. This study established an empirical simulation model to capture the changes of commercial rent as well as residential rent due to a transportation policy. The model is constructed base on the concept of market equilibrium and by means of the well known multinomial logit (MNL) model which is frequently discussed in discrete choice theory. The constructed model has been successfully applied to the New York metropolitan area. The joint choice of residential location, housing type, commuting mode and commercial trips as well as commercial travel mode is computed. When the subway waiting time is reduced by halving its headway, the model depicts the decreasing of housing demand in Manhattan and increasing in suburban boroughs: Queens, Brooklyn and Bronx. This also results in I% increase of housing rent in suburban areas. This study illustrates an important experience in modeling the housing and commercial rent market and would be helpful in the future studies of Taiwan cities. |