• Journal of the Korean association of regional geographers
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• v.10 no.2
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• pp.389-406
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• 2004

with the increasing popularity of regional studies, the importance of regional data has been recognized dramatically in recent years. However, due to potential problems from the intrinsic characteristics of aggregate regional data for the research, and incompatible regional units between source and target regional data units, the method for reorganizing the regional data units for a given research analysis should be required. In this regard, the purpose of this research is to review the significant interpolation methods for reorganizing the data units and, based on it, to propose the population weighted interpolation method. For the first purpose, areal weighted interpolation method, pycnophylactic method, dasymetric method, area-to-point method were reviewed. The proposed population-weighted interpolation method was applied to the case study of population census regional data in Erie County, NY, compared with areal weighted interpolation method, pycnophylactic method in terms of several statistical characteristics.

• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.95-95
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• 2007

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• Journal of the Korean Institute of Rural Architecture
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• v.8 no.1
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• pp.25-32
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• 2006

The object of this study is the new city hall of Miyashiro in Saitama pref., Japan, which was built through local resident participation. The purpose of this study is to offer the reference data of regional public facilities by researching the process, role and meaning of resident participation and architectural characteristics and meanings. The results of the study are as follows. First, the new city hall of Miyashiro was built through voluntary will and efforts of the residents. Through close cooperation of the local residents, administration and specialists, it took into significant consideration regional conditions and individual characteristics. Second, the new city hall of Miyashiro applied the concept of barrier-free for children, the aged and handicapped, etc. Third, the new city hall of Miyashiro introduced wooden structure making the most of the merits of lumber. Finally, the new town hall of Miyashiro took sustainability into consideration by striving for the efficiency of energy application.

• Journal of the Korean Regional Science Association
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• v.14 no.2
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• pp.35-50
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• 1998

This paper examines the determinants of imbalanced regional development in Korea during the period of 1985-1995. The review of previous analytical techniques have been used to analyze the determinants of disparities in regional development of disparities in regional development, but few has applied the regression technique which reduces a bias due to heterogeneity across region. The results of the study show that Kmenta model with per capita GRDP as dependent variable can reduce the heterogeneity bias in regional development and can minimize the statical errors in estimation and interpretation of the coefficients of the explanatory variables. According to the results of Kmenta model, urban infrastructure such as roads, information and communication facilities are major causes of regional disparity over the period of 1985-1995. The results of the study also indicate that local government should devote their policy efforts to identify and utilize the unique soci-economic characteristics of each locality in the process of regional development.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.113-114
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• 2012

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.2
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• pp.37-47
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• 2000

Since 1995, agropolitan cities have been created, in order to pursue the balanced development between urban cities and its surrounding rural counties. However, the inequality of regional level that was caused by indiscreet development has become the ever-serious problems recently. Therefore, this study aims to analyze regional characteristics and patterns for setting up the sustainable spatial planning. Firstly, the regional characteristics were summarized by five factors; development-oriented factor, agricultural factor, living environmental factor, rice growing, fruit gardening factor. The regional patterns were classified with five patterns using cluster analysis; orchard farming, farming of medium and small size, small stagnation, under urbanization, mixed urban-rural properties, and industry of southeastern seashore. Accuracy of the results by discrimination analysis showed that pattern II, V, and VI were confidence level of 100%, but the others had nearly 90% confidence level.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.240-257
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• 2012

Regional innovation cluster is closely related to promoting innovations through activities for knowledge sharing and exchanges among organizations in an adjacent regional context. However, performance of activities for knowledge sharing and exchanges are basically influenced by cultural characteristics of the industries or regions where the organization belongs to. Therefore, knowledge management strategies in a unit of a regional cluster need to consider the cultural characteristics of an industry or region and in turn different activities need to be adopted according to cultural characteristics. This study explores the relationship between cultural differences and the performance of the activities to promote knowledge exchanges in a regional innovation cluster. For this study, factors reflecting cultural characteristics of diverse industries and regions were extracted and the relationships with the performance of the activities promoting inter-organizational knowledge exchanges were analyzed through statistical method.

• Journal of Korea Water Resources Association
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• v.47 no.5
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• pp.469-482
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• 2014

This study developed a Bayesian spatial regional frequency analysis, which aimed to analyze spatial patterns of design rainfall by incorporating geographical information (e.g. latitude, longitude and altitude) and climate characteristics (e.g. annual maximum series) within a Bayesian framework. There are disadvantages to considering geographical characteristics and to increasing uncertainties associated with areal rainfall estimation on the existing regional frequency analysis. In this sense, this study estimated the parameters of Gumbel distribution which is a function of geographical and climate characteristics, and the estimated parameters were spatially interpolated to derive design rainfall over the entire Han-river watershed. The proposed Bayesian spatial regional frequency analysis model showed similar results compared to L-moment based regional frequency analysis, and even better performance in terms of quantifying uncertainty of design rainfall and considering geographical information as a predictor.

• Health Policy and Management
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• v.33 no.1
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• pp.55-64
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• 2023

Background: Despite the various activities of the regional public hospitals, discussions are being made as to whether or not to continue due to the issue of financial deficit. Therefore, the main factors affecting the fiscal deficit were analyzed with 10-year data. Methods: This study is a panel analysis that analyzed the characteristics of 34 regional public hospitals and influencing factors on medical benefits for 10 years from 2010 to 2019. First, we analyze the determinants of medically vulnerable areas set by the government, analyze the trend of medical profit per 100 beds and medical profit rate from 2010 to 2019, and identify the factors that affect them. Results: Differences in medical profit per 100 beds and medical profit-to-medical profit rate were caused by market share representing regional characteristics, and both indicators improved as the number of outpatients increased. The important influencing variables are the number of doctors and nurses, and both indicators improve when there are specialists, but medical benefits decrease as the number of doctors increases when judged by the number of people per 100 beds. In addition, the number of nurses per 100 beds does not contribute to medical profit and has a negative effect on the medical profit ratio. Conclusion: As only regional characteristics were taken into account for medically vulnerable areas, operational characteristics need to be considered. The greatest impact on the finances of local medical centers is the proper staffing of doctors and nurses, and their efficient arrangement is the most important factor in financial stability.

• Journal of Korean Society of Transportation
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• v.32 no.6
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• pp.638-650
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• 2014

The objective of this study is to identify the causes of pedestrian volume path to the destination by investigating the influential levels of regional and planning features in the central area of Seoul. Regional characteristics can be classified from the result of the analysis and through the spatial characteristics of pedestrian volume. For global scale analysis, Ordinary Least Squares (OLS) regression is used for the degree of influence of each characteristics to pedestrian volume. For the local scale, Geographically Weighted Regression (GWR) is used to identify regional influential factors with consideration for spatial differences. The results of OLS indicate that boroughs with transportation facilities, commercial business districts, universities, and planning features with education research facilities and planning facilities have a positive effect on pedestrian volume path to the destination. Correspondingly, transportation hubs and congested areas, commercial and business centers, and university towns and research facilities in the Seoul central area can be identified through the results of GWR. The results of this study can provide information with relevance to existing plans and policies about the importance of regional characteristics and spatial heterogeneity effects on pedestrian volume, as well as significance in the establishment of regional development plans.