Earticle

Predicting physical urban form is very useful for the efficient land use. One method for urban growth prediction is a cellular automata based model, in which urban growth is first analyzed and urban form is predicted based on the results of urban growth analysis. In this study, urban form is predicted based on the results of urban growth analysis and allometry. In the prediction process, urban growth analysis reveals the urban growth type and allometry correlates population with urban area. Urban growth analysis shows that spillover growth is dominant factor in urban growth and the results of urban growth prediction revel that urban prediction area roughly coincides with ongoing developing area or potentially developing area. Consequently, proposed prediction methods could be said to be potentially applicable.

This study searches for ways to enhance the accuracy of Individual Public Land Price (IPLP) by analyzing actual state of verification about IPLP and by analyzing the influence on land price of the Standard Public Land Price (SPLP). To do that, theoretical research and case studies were used. As a result of some investigations, several problems were elicited. First, if the adjustment of land price occurred, it was mainly because of making mistakes on the characteristics of the land. Next, by analyzing the influence on land price of SPLP, some factors such as land category, fertility, classification of agricultural land, were not meaningful or there was multicollinearity. Some alternatives are suggested in this article. First, it is better to make Land Price Index Table (LPIT) as land use zone. Second, it is needed to make specific rules of investigation about the characteristics of the land. Third, it is necessary to add, delete or subdivide a few comparative items of LPIT.

The purpose of this study is to examine the impact of the new administrative capital transfer on rental housing demand in Daejon, Korea through the estimation of rental housing demand equation. The study focuses on the statistical estimation issues encountered in calibrating rental housing demand: selectivity bias, estimation of hedonic prices, and application of the permanent income hypothesis. The results show a tenant has a higher marginal probability of being a tenant household than of being a homeowner and less demand for housing services after the announcement of the new administrative capital transfer.

This study analyses the effect of firm characters on the choice of main bank in Pusan based on the regional financial market theory and the relationship banking. These theories say that a provincial bank is superior to a national bank in lending to regional firms that are small and opaque. Total 7,261 regional firms in Pusan(of which 68 are public and KOSDAQ or the third market listed corporations, of which 583 are firms whose assets are above 7 billion won, and of which 6,610 are small and medium firms whose assets are below 7 billion won) are surveyed. The results are as follows: the share of regional firms that borrow from national banks decreases as their scale measured by the number of workers becomes smaller and their opaqueness increases. Such a tendency becomes clearer when we exclude Kookmin Bank and Small and Medium Bank from national banks. But Pusan Bank, the only provincial bank in Pusan, have relatively closer lending relationships with medium sized firms and with firms whose assets are above 7 billion won which are thought to be more lucid than those whose assets are below 7 billion won. These results do not support the presuppositions of this study. These results are closely related with the facts that Kookmin Bank and Small and Medium Bank have begun to devote themselves in financing regional small and medium firms earlier than Pusan Bank. This study is the first that have shown the firm-bank relationships in the regional financial market in Korea.

The regional difference in housing conditions is mentioned in many housing researches, but it is not empirically tested and revealed in the Korean housing market. In 2000-2002, housing price had skyrocketed in Seoul and other satellite cities, especially in some Gangnam areas of Seoul. The event clearly showed that there was the regional disparity in the housing market of the Seoul Metropolitan Region as well as other cities. In order to prepare housing measures for the improvement of deteriorated areas with low residential levels, it is necessary to find out what spatial disparity patterns in the Seoul housing market exist. This paper attempts to figure out what factors create the regional disparity of housing conditions and to analyze how housing market characteristics are different at borough and district levels. It enables us to indicate that the regional disparity of housing conditions is quite different by housing condition type. The empirical analysis shows that the regional housing conditions are grouped into three aspects: housing overcrowding, residential deficiencies, and housing welfare. It also provides that each borough has different types of housing condition deprivation and why Gangnam areas enjoyed high percentages of the housing price rise. We believe that classification of housing market disparity can be utilized in implementing urban housing polices to improve housing conditions, residential environment and living status in declined and deteriorated areas.

This study aims to review the concept and indicators of the Quality of Life(QoL) in general, to introduce the measuring method of the Quality of Life of Vancouver, Canada and to analyze the city planning and development of Vancouver and Gwangju from the viewpoint of the Quality of Life. There are a lot of various definitions of the Quality of Life according to the difference of the countries and their cultural backgrounds. The Quality of Life could be defined as "everything related to the alleviation and management of stress from living and working in a busy world city through the guaranteed life of the health and the gratification resulted from the realization of development potential".According to the results of analyzing the important city planning and development projects of Vancouver and Gwangju, the contents and democratization of city planning may be very vital to the Quality of Life in those cities. The interrelationship between the general measuring domains of the Quality of Life and the city planning sectors should be researched in more detail in the future.

This study deals with the taxi supply models based on the urban characteristics. The objective is to develop the appropriate taxi supply model to the urban characteristics by type, after classifying Korea cities and counties with the various urban indices. The study gives particular attentions to the multiple regression analyses and neural network models. Five significant factors are induced, through the factor analysis based on the 18 urban indices. All cities and counties are classified by 4 groups according to the cluster analysis. F-tests indicate that the differences of taxi supply size exist among urban groups classified by factor 1, 2 and 3. Multiple regression analyses show that the models by urban groups classified by the factor 1 are well fitted to the given data. Also the neural network models are better than multiple regression models in the view of fitness to the given data.