An empirical analysis of the characteristics of residential location choice in the rapidly changing Korean housing market

This study examines the factors of residential location choice by considering the characteristics of the Korean housing market. From various factors of the residential location choice of a household, this study focuses on the effect of opportunities to engage in other activities, represented by accessibility, and the variety of housing tenure types—i.e., owner-occupied, Chonsei, and monthly rent—and the change of each type’s share of the market. The results of this empirical study indicate that households will most often choose to live in districts with more accessibility (a representative variable of demand-driven market), more permitted housing floor space (that of supply-driven one), higher rents, and lower housing prices in the Seoul Metropolitan Area (SMA). That is to say, the rapidly changing Korean housing market indicates a transition phase from a supply-driven to a demand-driven one. The significance of the variables and their effects were different for each housing tenure type. This means that the tenure type choice of a household is influenced by the level of income and assets. The results of this study are significant in understanding the characteristics of residential location choices of Korea and the countries in the transition as well.     

A study of the effect of heat source location in a ventilated room using multiple regression analysis

Multiple regression analysis is a statistical technique which allows to predict a dependent variable from more than one independent variable and also to determine influential independent variables. Using experimental data, in this study the multiple regression analysis is applied to predict the room mean velocity and determine the most influencing parameters on the velocity. More than 120 experiments for four different heat source locations were carried out in a test chamber with a high level wall mounted air supply terminal at air change rates 3–6 ach. The influence of the environmental parameters such as supply air momentum, room heat load, Archimedes number and local temperature ratio, were examined by two methods: a simple regression analysis incorporated into scatter matrix plots and multiple stepwise regression analysis. It is concluded that, when a heat source is located along the jet centre line, the supply momentum mainly influences the room mean velocity regardless of the plume strength. However, when the heat source is located outside the jet region, the local temperature ratio (the inverse of the local heat removal effectiveness) is a major influencing parameter.