• Land and Housing Review
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• v.14 no.3
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• pp.37-53
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• 2023

This study conducted an empirical analysis of how different types of living retail businesses affected housing prices during the COVID-19 pandemic, with a particular focus on both global and local time series effects. The main findings are three folds: First, from a global perspective, the study discovered that the presence of living retail businesses had a significant impact on prices of nearby apartment, varying according to their type. Secondly, the impact of COVID-19 on the retail industry varied depending on the type of business. Thirdly, when viewed from a local standpoint, the impact of the retail business sector on apartment prices due to COVID-19 pandemic was substantial, varying across regions and business types. This implies that external shocks like COVID-19 have the potential to alter the role and perception of living retail businesses. In light of this, the study has put forth policy implications aimed at mitigating the adverse effects of living retail businesses and enhancing residential quality.

• Journal of the Korean Regional Science Association
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• v.35 no.2
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• pp.73-86
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• 2019

The purpose of this paper is to empirically analyze the effects of related and unrelated varieties of industry and occupation on regional economic growth. Recent studies dealing with the mechanism of economic growth argue that occupation as well as industry act as the driving force of regional economic growth by inducing knowledge externalities. Therefore, this study comprehensively analyzed the effects of occupational diversity along with industrial diversity. For the empirical analysis, we set the regional labor market areas as the spatial units of analysis. Dependent variables include regional per capita GRDP and employment growth between 2010 and 2015, and related and unrelated variety of industry and occupations measured based on the entropy approach are used as key explanatory variables. Our empirical results show that the related variety of industry has a positive effect on per capita GRDP in the region, and the related variety of occupation has a positive effect on regional employment growth. On the other hand, the unrelated variety of industries shows a negative correlation with regional employment growth. Based on the empirical results, this paper provides regional policy implications for strengthening economic vitality by dividing the diversity of industry and occupation into related and unrelated varieties and analyzing how they affect regional economic growth.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.81-92
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• 2021

As the aging population of Korean agriculture and rural areas and the decline of the agricultural population are gradually deepening, the influx of population through returning to farming and rural areas is urgently needed. To this end, the most important problems to be solved were the lack of information that would help those who want to return to farming or rural areas when making decisions. Therefore, a survey was conducted for AHP analysis on related experts to find out the information (decision factors) required when selecting a return-to-farm or return-to-country migration area through this study. The AHP analysis showed that "Economic factors" were the most important among the three items in the primary class, while "Housing and land prices", "Metropolitan accessibility and traffic" and "Residential information" were the most important in the secondary class. The results of these studies are reflected in the information system to systematically support the decision-making of those who wish to return to farming or rural areas.It is hoped that it will be indirectly helpful and ultimately contribute to the revitalization and development of Korean agriculture and rural areas, which are aging.

• Journal of the Korean association of regional geographers
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• v.17 no.6
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• pp.679-697
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• 2011

This study analyzed the characteristics of spaces to and from which middle school students transfer, especially centering around the school districts of Southern area in Gyeonggi Province such as Suwon, Osan, Yongin, and Hwaseong. This study was conducted to provide the suggestions regarding educational policies such as the positioning to appropriate school districts, improving of educational environment, and implementing of educational equity, by analyzing, based on the empirical data, the educational spaces of four cities showing rapid population growth due to recent suburbanization. The characteristics of distribution of variables such as schools for each district affecting the student transfer, housing development, and socioeconomics in the research object region are mainly analyzed through the correlation analysis, multiple regression analysis, and cluster analysis. As a result, there is shown a distinct spatial difference between school districts of the cty downtown and urban fringe, and between school districts of the conventional cities(cities that have been from the past: note of translator) and new land development regions. First, the school districts in the city downtown showed lots of transfers between neighboring school districts, while the school districts in the urban fringes showed transfer-out tendencies strongly. Second, it was the new land development regions where the transfer-in rate is the highest in the Southern area of Gyeonggi Province. Third, the said new land development regions required the supply of educational installations and educational support that can meet educational demands, since these regions have relatively lower qualitied educational environments compared to the conventional cities where the fluidity of students is lower. Fourth, in the summary of all of the said three results, the student transfer in the southern area of Gyeonggi Province was shown in the spaces centering around the multi-core area by reflecting the restructuring of suburban area.

• Journal of the Korean association of regional geographers
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• v.3 no.1
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• pp.35-50
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• 1997

The purpose of this research seeks to analyze the spatial variations in the sex age structure which have been shown to exist within the study atrea, the Kyonggi province in Korea. In this study it is desired to use the Age Structure Index developed by Coulson in order to describe thi sex age structure of each of 186 tracts that comprise the tracted portion of the Kyonggi province. The mechanics of computing the Age Structure Index are found in the equation describing a linear least squares trend line: y=a+bx. For each census tract, the percentage of the population in each age group(y) was plotted against the middle age of each age group(x). The a is a constant representing the value of y, when x equals zero. The b is the regression coefficient and is a measure of the angle of the slope of the least squares trend line. Thus the value of b is the Age Structure Index for each census tract. The major results of this investigation can be summarized as follows: The spatial distributions of sex age structures in the Kyonggi province are far from random. They have exhibited great regularity with the yonger sex age structures near Seoul and a sharp decline to the older sex age structures out in all derections towards rural region. The results of this investigation should have important general significance for the study of the Kyonggi province Age Structure Index is a flexible, operational definition shich allows sex age structure to be measured, mapped, and incorporated in a wide variety of methods of statistical analysis. Futurer, it has been demonstrated that sex age structure varies spatially within Seoul metropolitan finge and that this variation is relagfed to many other attributes of the population. Especially, Age Structure Index is strongly related to the variables-rate of population growth rate. density, rate of numbers of manufacturing, land price. At the same time, considerably more research is needed before a genmeral body of knowlege concerning sex age structure can be developed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1241-1249
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• 2014

This study presents preferences factors analysis of Car-sharing in Suwon. Approximately, 60% of the citizens prefer car-sharing and consider using it. The results of analysis by factors show higher preferences in these groups of travelers: man, younger, a resident of detached house and efficiency apartment, user of public transportation who finds it uncomfortable, traveler without vehicles, and traveler using car 1 to 3 times a week. The potential demand for car-sharing was highest in the residential areas and around the stations. Travelers prefer to pay the fee by the hour, which the fair value was 7,967 won. For the trip purpose of business, shopping and leisures, car-sharing is more preferred than taxi and rental cars. Findings will contribute to determining the direction of policy for the car-sharing.

• Land and Housing Review
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• v.4 no.1
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• pp.99-105
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• 2013

Development Charge System was introduced in 1989 to recapture development gains, however, it has been revised more than 20 times since then. The reason for such frequent revisions was that estimating development cost was too composite and indefinite. Therefore it is required that estimating method of development cost should be simplified in order to minimize conflicts among diverse parties. To support the recent revision of 'Restitution and Development Gains Act', this study verified several alternatives of applying standardized costs per area under specific size of development and suggested policy implications. For analysis data, 9,362 Development Charge and cost data of si gun gu for recent 3 years were used. The results showed that dividing Seoul Metropolitan Area (SMA) and non-SMA made a significant difference and definite divisions among regional groups. The result of this study could minimize social conflicts as well as contribute in realizing the public concept of land policy by revising Development Charge System.

• The Journal of Bigdata
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• v.6 no.1
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• pp.91-113
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• 2021

Despite the influence of real estate in the Korean asset market, it is not easy to predict market trends, and among them, apartments are not easy to predict because they are both residential spaces and contain investment properties. Factors affecting apartment prices vary and regional characteristics should also be considered. This study was conducted to compare the factors and characteristics that affect apartment prices in Seoul as a whole, 3 Gangnam districts, Nowon, Dobong, Gangbuk, Geumcheon, Gwanak and Guro districts and to understand the possibility of price prediction based on this. The analysis used machine learning algorithms such as neural networks, CHAID, linear regression, and random forests. The most important factor affecting the average selling price of all apartments in Seoul was the government's policy element, and easing policies such as easing transaction regulations and easing financial regulations were highly influential. In the case of the three Gangnam districts, the policy influence was low, and in the case of Gangnam-gu District, housing supply was the most important factor. On the other hand, 6 mid-lower-level districts saw government policies act as important variables and were commonly influenced by financial regulatory policies.

• Land and Housing Review
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• v.3 no.1
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• pp.69-78
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• 2012

This study proposes an approach to improve the accuracy of land assessment result focused on the Land Suitability Assessment. The detailed analysis processes are; (a) that they are analyzed considering resistance in distance measurement on the space characteristics of location, and; (b) that an assessment result is measured according to the threshold definition of membership function, which is applied in estimating conservation suitability. The assessment results are; firstly, the method considering resistance better reflects the local characteristics of area with worse accessibility including rivers and mountains than one by linear distance; secondly, the existing method that the maximum value of a target area is defined as the maximum threshold may draw a value evaluated lower than a threshold definition considering the distribution of measured indices. Finally, satellite images are overlapped with the assessed results, the applicability level from the approach proposed by this study is more coincident with the present status. The assessment method proposed by this study can be meaningful in view of that it improves the accuracy of Land Suitability Assessment. Furthermore, it can be applied as SDSS, which can support effective establishment of urban policies, in case of complementing the problems in executing the assessment system.

• Land and Housing Review
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• v.2 no.1
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• pp.9-17
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• 2011

A urban regeneration project of Korea has been promoted highly attaching to physical reforms, but without fulfilling the basic goal of reactivating city functions through concerning overall areas. Moreover, the general rule and its system of urban regeneration project which would provide roles of public and civilians as well as facilitate cooperative urban regeneration, are currently missing. Thus, social stratum continuously requests a framework act for urban regeneration project called Control Tower, to be a guide to the evidently right path to step up. The research analyzes the current status and problems of urban regeneration projects in Korea to examine the necessity of Control Tower, and to bring up the way to move on for its efficiency presented below: First, the law should be declarative; possess general, prospective influences on laws and systems related to urban regeneration. Second, the nonbinding guideline on a urban regeneration project should be suggested to reflect the conditions by the regions. Last, propulsions should be framed such as administrative principles of strengthening publicity and connection of urban regeneration projects, a committee and fund to promote the former, and a research for problem solution.