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The Gaeseong Industrial Park as a special economic zone in North Korea has a significant meaning as a strategic area for inter-Korean cooperation and international economic cooperation. This study aims at suggesting the development strategies for the Gaeseong Industrial Park in the aspects of inter-Korean economic cooperation and economic cooperation in Northeast Asia. In the short-term, the Gaeseong Industrial Park should be developed as a light industry park based on the complementarity of production factors between the two Koreas. In the mid and long-term, it should be developed in the connection with new industries in the metropolitan area in South Korea. Also, the tour course connected between the Gaeseong Industrial Park and the Imjin River Area will be needed. In the long-term, Inchoen could be a center of manufacturing-related producer services to the Gaeseong Industrial Park. The Hong Kong-Shenzhen case is instructive for creating cooperation models of Inchoen-Gaeseong economic cooperation. In the aspect of economic cooperation of Northeast Asia, the Gaeseong Industrial Park should make a new economic relationship with Free Trade Zones in Qingdao, Tianjin and Dalian in China. IT and electronics could be major strategic industries for the Gaeseong Industrial Park. Also, historic tour connecting Gaeseong, Qingdao, Tianjin and Dalian could be a chance to the Gaeseong Industrial Park. However, resolving North Korea's nuclear problem is the most important issue for the success of the Gaeseong Industrial Park because tension over its nuclear program and investors' doubts about the wisdom of doing business in a communist nation with a moribund economy could delay the project.

Current regional development programs for less-developed regions have shortcomings, such as overlapped investment, arbitrary budget sharing, top-down process, etc. and also, are not enough to provoke voluntary driving force for development due to individual execution by different central government departments. As one of solutions to solve these problems, Presidential Committee on Balanced National Development has launched Revitalizing Program with Ministry of Government Administration and Home Affairs to provoke internal development ability and selected 70 local governments as Revitalizing Region. This paper tries to examine background of this program focusing on problems of current regional development programs, and suggest desirable support and driving procedure for this program.

We are often confronted with decision-making problems in planning and location analysis of public facilities: How to select effectively the optimum location among various alternatives (sites) or how to rank such alternatives according to their advantage and importance. As one of technical methods for the effective decision making, the Multiple Attribute Decision Making (MADM) method has been developed and widely used. In this paper, we examined location analysis for new fire stations using the MADM method based on data of fire service manpower (the number of fire officials), equipment (the number of facilities), fire statistics (fire incidence), access (road condition) and cooperation with other agencies in Jinju and Sacheon area. Based on such data, we selected the best alternatives using TOPSIS and HAW. In this study, the AHP method and the Entropy method were used for weighting and locations alternatives for fire stations were evaluated.

This study identifies the characteristics of urban tourism development and suggests future research directions about this area of study. Summarized are the characteristics of urban tourism development such as follows: 1) heterogeneous diversity but imitative similarity, 2) clustering of cultural industries, 3) gateway function's difference based on the centrality among tourist cities, 4) free development strategies due to extensive potential demand, 5) various strategies for the symbolized urban space, 6) active development of public urban space based on the space-sharing between tourists and citizen, and 7) tourism urbanization and differential urban space. In spite of these various characteristics, researches of urban tourism development have been limited to few themes related on this area of study. Based on the characteristics and research trend of urban tourism development, some future research directions are suggested. First, each place in urban space must be conceptualized with tourist function. Second, research that regards tourist function as a substantial component in the area of urban development is needed. Third, studies for the economic impact of urban tourism industry must be considered. Fourth, case studies on urban tourism development must be diversified into various ranges of cities for the practical benchmarking.

This paper studies urban restructuring of two American industrial cities, that is, Pittsburgh and Detroit, focused on a concept of governance. This paper tries to explain why Pittsburgh has shown different path and social results of urban restructuring, compared with Detroit. Since 1970, Pittsburgh has succeeded in regenerating central business district and improving the economic condition of neighborhoods. In contrast to Pittsburgh, Detroit has failed to regenerate central business district, even though major resources of city government has been inputted on it. In addition to this, Pittsburgh has shown better social results in terms of income level, unemployment rate, and poverty ratio, compared to Detroit. This paper adopts an analytical scheme that combines structural variables with actor variables to explain differences of urban restructuring. This paper is distinguished in considering following variables. First, this paper considers social factor(= race), and institutional and cultural factor(= political arena) besides economic factor(= strength of main industry) among structural variables. Second, this paper shows that specific type of governance is a main variable to explain differences of urban restructuring. Governance is composed of various actors who actively responds to the crisis of the cities. In conclusion, under specific structural conditions, the characteristics of governance that is composed of actors deeply influence a path and social results of urban restructuring. This suggests for Korean cases in that urban restructuring depends upon how governance is formed under specific structural conditions.

This study aimed to review and evaluate the policy for the maintenance of the surrounding suburban district of Tsukuba Science City in Japan in terms of the development of research and industrial parks, the process of planning and practice of policy. The review for the regional policy of Tsukuba Science City consists of two parts: one is the establishment of the maintenance plan for the surrounding suburban district, and the other is the development of 6 research and industrial parks in terms of the planning and practice of regional policy. The former was focused on understanding for the backgrounds, purpose and contents of the policy, and reviewing for the industrial introduction in particular. The latter is focused on explaining for the development characteristics of 6 research and industrial parks in terms of actors, methods, land use and tenants. In conclusion, the regional development policy of Tsukuba Science City was evaluated in terms of its effects for urbanization and industrial development.

The aim of this study is to estimate the Value of Travel Time(VOT) of freight transportation to be used in Cost-Benefit analysis for toll road project appraisals in Korea. So far VOT of freight transportation in Korea was estimated by simple method using wage rate only for working hours, therefore precise and theoretically concrete value of time was required to evaluate road projects in fair and transparent process. In this study the VOT of freight transportation was estimated by marginal rate of substitution method. In the method, the VOT of freight transportation was estimated by multi-nominal logit model with stated preference data which were surveyed on two toll roads and one untoll road in Cheonan-Jeonjoo Region. The stated preference data were segmented according to truck sizes, survey points, vehicle types and loading or unloading trips, etc. The multi-nominal logit models were composed of transport cost, in-vehicle time, and reliability of arrival time. The results of this study showed that the VOT of freight transportation in Korea was 17,817won per vehicle hour and varied ranges from 15,972 won to 20,425 won according to vehicle sizes. This results showed that the use of a single VOT estimated from wage rate can drives wrong results into Cost-Benefit analysis in road project and that the use of adequate VOT of freight transportation according to stated preference data is very important.

his paper analyzes a structural change and a stability in values of construction orders received in Korea from the first quarter of 1976 to the first quarter of 2002, using the ADF test and LR test for structural breaks. The Results of Likelihood Ratio Test shows that the break points are the fourth quarter of 1993 for the architecture sector, the fourth quarter of 1997 for the seaport/airport and the railroad sector, the first quarter of 1998 for the road/bridge sector, and the first quarter of 1995 for the water/sewage sector. Also, the significant structural change occurred in the foreign construction market in 1983. These are attributed to 1) the Housing Construction Plan(1988～1992) to build up two million housing, 2) the 1997's financial crisis in Korea which caused high interest and foreign exchange rates, and 3) world's economic recovery and slowdown in the Middle East construction industry in 1983. The Comprehensive National Physical Development Plans(1992～2001) could induce up and down of construction investments in the regional markets, focusing on the promotion of the nationally balanced development.

The purpose of this study is to predict the business cycle of the Korean Real Market by the transaction volume of real estate forecasted by seasonal-ARIMA model. In order to this purpose, this study reviews the concepts of seasonal-ARIMA model, the advantages of ARMA model and limitations of this model. Also to find the best model, the seasonal-ARIMA procedures, the unit root test by using Augmented Dickey Fuller Test(ADF Test), identification of Auto Correlation Function(ACF) and Partial Correlation Function(PACF) are proceeded. By using the these procedures, model is selected as a best one and used to forecast volume of real estate transaction in Korea. The findings of this study are as following ; The transaction volume of real estate, which are classified by building types and land, show the seasonal effect for the period of 12 months and rapidly decrease last year, Also, according to the forecasted results, the volumes of single family home, apartment and land will decrease compared to the those before one year. On the contrary, it is forecasted the transaction volume of retail and office building will increase.

Zoning change and various development plans by the government often generate development gains and loses. The general methods identifying how much the development gains and loses are generated from zoning change are still left to be studied. This article reviews calculating methods of development gains occurred from zoning change by use of calculating method of the Posted Price of Ministry of Construction and Transportation. Applying this methods on the case study area, where changed from residential to commercial zone in 1999, the amount of the land price increased by zoning change can be calculated during 1999-2003. The prices calculated through these methods show similar trend with the price change pattern of neighbouring area. However these finding should be generalize through further studies.

This paper aims to apply stock-flow model to the housing market in Seoul to analyze the dynamics of the market. For this study, we establish stock-flow model and selected related variables based on the close examination of previous literatures. The findings of this study are that housing stock per employement and the interest rate of housing finance among independant variables have negative correlation to housing price index in Price model. Among independant variables, the interest rate of construction finance has negative correlation and land price index has positive correaltion to housing permission in Permission model. Through Stock equation, we found the annual average depreciation of housing and the relation between the housing permission and housing construction in Seoul. This research shows how to apply the stock-flow model to the housing market in Seoul and suggests that the intentional decrease of interest rate of housing finance causes housing price to increase unintended. Thus, we need to study the influence of the interest rate on the house financing and market. Furthermore, this study indicates that the increase of land price index of previous year might be the positive signal for the development companies. Finally, we recognize that this model requires the sophisticated data of housing market in Seoul.

It is in the present situation that there are many studies that estimate and presume apartment price by using various characteristics of apartment. Most of these studies depend on Regression model excessively, but Regression model has more merit than demerit. Thus this study does not deny Regression model but attempts to introduce new model. That is to say, this study is performed by means of the necessity to overcome the problems of Regression model and to introduce complementary model. The main purpose of this study is to presume apartment price by using neural network model of various characteristics of apartment and to compare it with regression model. And examining the complementary aspect of regression model and neural network model is the secondary purpose of this study. In the characteristics of apartment, data easily available in the surroundings are put first in importance. We collected apartment sale price of Songpa-gu and Dobong-gu in Seoul and the characteristics of 12 apartments on the basis of 6/2004. We unified apartment sale prices (that is, sale lowest limit price, general trade price, sale upper limit price) into one sale price by using new measurement method. It is significant in the study field of apartment price to estimate apartment price precisely and effectively by introducing neural network model and to compare it with the existing regression model. It is judged that neural network model can be applied to the past studies and new studies concerning housing.