An Analysis on Residential Mobility

Abstract

City has changed by the move of households, and because of the migration, social or financial resources are relocated. That move can arises by many reasons, but when observing the migration pattern by general view, that could be interpreted as stochastic phenomenon. In addition, when considering the probability, it should be considered that moving chance which is housing stock and newly supply housing. Therefore, at first, many factors determine a relative place utility, and the utility makes a difference of move­in probability. The probability, in the end, became absorption demand of the move­in site. This is a process of transferring demand. In that process, this study provide an analysis about the migration site selection when the chance to move is controlled at a village unit in whole nation. That chance were overlooked in many former studies, for limitation of getting available or mis­understanding of housing supply. For example, construction start size was applied to supply. After controlling the chance, in a aspect of utility, theoretical model had proposed, which model was developed to a empirical model composed linear combination of log difference. With the discrete choice concept model, considering previous study and availability, distance, housing price and employment accessibility were selected to the factors of that place utility. Furthermore, dummy variable about large­sized housing development area was added for discovering the additional family inflow power of that area. That is because, in the large­sized development area, many facilities, for example planned park, commercial area and amenities, are located in there and the housing is relatively new. Meanwhile, unit of this study is a village level which is‘dong’in Korean. Utilized data has been composed to the‘dong’level which has two system, administrative district system and legally designated district system. Therefore, in some data, the number is calculated by administrative district system, other data is calculated by the latter system, so the matching method was proposed. The combined one system is utilized for the analysis. In result of the analysis, housing price and distance was estimated to a resistance factor of migration, and the employment accessibility and large­sized development area was to positive effect of migration. Implications of this is, first, that, it is discovered that the more deliberate model could be estimated when the migration chance is controlled and the unit is village level. Second, after the Financial Crisis, the larged­size development area has still the additional inflow power of households. Although the limitation did not consider more factors of migration for the restriction of acquiring data which can be applicable in whole nation and is composed by village level, this study could be expected to apply the absorption demand studies or to be utilized to housing supply policy.