• Journal of the Korean Home Economics Association
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• v.50 no.7
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• pp.13-20
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• 2012

This study aimed to find the association between geographic proximity and program participation at a Healthy Family Support Center (HFSC). Drawing demographic and geographic information from the participant list at a local HFSC in Seoul for the period 2009 to 2011, this study calculated the geographic distance from the individual residence to the center for 2,343 participants. We found that single time participants had a longer distance from their residence to the center than multiple time participants. When we compared the proximity by program areas, we found that the geographic distance to the center was shorter among education program participants than among non participants. However, there was no difference in the other areas of programs. In terms of the target group, the distance was shorter among adult program participants. Finally, the average distance among participants in multiple session programs was shorter. The results of this study indicated that the relationship between geographic proximity and program participation depended on program areas, target groups, and the number of sessions.

• Journal of Yeungnam Medical Science
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• v.34 no.2
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• pp.222-230
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• 2017

Background: Varicella is the most common infectious disease reported despite the high vaccination rate. Interventions that target humans are particularly effective for varicella because humans are its only natural host. On the other hand, the existing national varicella surveillance systems lack the information to identify an outbreak. Therefore, a new index to assess varicella outbreaks was developed. Methods: The residential addresses of 2,718 varicella cases reported in Daegu in 2016 were converted to geographic coordinates and the distances between new varicella case and previous cases within 21 days were calculated from the date analyzed. Two cases were considered to be adjacent if the distance between them was less than 1 km. Finally, a proximity index was introduced by dividing the number of adjacent cases by the number of new cases on the date analyzed. Results: First, time-series charts and scatter plots were used to verify that the proximity index reflected the spatial closeness of the different varicella cases. The proximity index is helpful in identifying outbreaks from a list of single varicella cases. In addition, in this study, a new epidemic characteristic of varicella based on the proximity index was shown. Conclusion: The proximity index introduced in this study can be used to determine the likelihood of an outbreak from a single case of varicella, and it can be embedded in a web-based national varicella surveillance system that is currently in operation.

• Knowledge Management Research
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• v.2 no.1
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• pp.133-144
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• 2001

Clusters mean geographic concentrations of interconnected companies and institutions in a particular field. Geographic, cultural, and institutional proximity provides companies with special access, closer relationships, better information, powerful incentives, and other advantages that are difficult to tap from a distance. And clusters are the knowledge-sharing networks which are composed of co-existence of related industries and supporting industries, sophisticated demand, sponsor of various exhibitions and events, liaison of peripheries and clusters, liaison of clusters and clusters, and governments' willingness for promoting clusters' development.

• Journal of Family Relations
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• v.21 no.1
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• pp.123-141
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• 2016

Objective: This study examined correlates of residential proximity between parents and non-coresident married children. A majority of existing studies on intergenerational living arrangement has focused on exploring factors that are associated with intergenerational coresidence only, despite an increasing number of parents and children who do not live together but close by. Because residential proximity facilitates frequent contacts and support exchanges between the two generations, it is important to understand its correlates. Method: The data were drawn from first wave of the Korean Longitudinal Study of Ageing (KLoSA, 2006), a nationally representative sample of adults 45 years or older and their spouses. The analytic sample consisted of 3,950 parents with 10,946 non-coresident married children. Both regression with robust standard errors and sibling fixed effects regression models were estimated using the reg and xtreg procedures in STATA. Results: Younger, less depressed, and more physically impaired parents lived closer to at least one of their married children (within a 30-minute distance by public transportation). Fathers (compared to mothers), parents living in cities (compared to those living in rural areas), parents with at least one co-resident child or fewer numbers of married children tended to have at least one married child living nearby. With regard to child characteristics, married children who were less educated, homeowners, and had more children lived closer to their parents. Also, sons (compared to daughters) lived in closer distance to their parents. Conclusion: Overall, findings suggest that intergenerational residential proximity may primarily be motivated by the childcare needs of married children or parents' needs for assistance with functional impairment. Also, the traditional patrilineal norms of intergenerational support may still be a critical factor in residential decisions as observed in the difference between married sons and daughters in proximity to their parents.

• Atmosphere
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• v.17 no.3
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• pp.255-268
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• 2007

This study generated and evaluated the high resolution (5 km) gridded data of monthly mean, maximum and minimum temperature from 2002 to 2005 over South Korea using a modified PRISM(Parameter-elevation Regressions on Independent Slopes Model: K-PRISM) developed by Daly et al. (2003). The performance of K-PRISM was evaluated by qualitative and quantitative ways using the observations and gridded data derived by inverse distance weighting (IDW) and hypsometric methods (HYPS). For the generation of high resolution gridded data, geographic informations over South Korea, such as the digital elevation, topographic facet and coastal proximity, are derived from the 1 km digital elevation data. The spatial patterns of temperature derived by K-PRISM were more closely linked to topography and coastal proximity than those by IDW. The K-PRISM performed much better than IDW for all months and temperatures, but it was equal to or slightly better than the HYPS. And the performances of K-PRISM were better in the minimum and mean temperature (winter) than the in maximum temperature (summer).

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.595-606
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• 2020

This paper aims to develop a conceptual framework for evaluating the impact of factors influencing the decision of Vietnamese students to study English in the Philippines. The empirical analysis used data from the survey data of 318 respondents living in Vietnam. Comprehensive, valid, and reliable tools (SPSS 26 software) are used to analyze and verify the gathered data, and the hypotheses developed. The results identified the factors that affect the decision of Vietnamese students to study English in the Philippines include knowledge and awareness, personality recommendation, cost issues, environment, geographic proximity, and social link. Based on the overall findings of this study, several implications are presented for educational practices in academies and schools about English teaching in the Philippines. To increase the ability to get students to study English in the country, it is important that schools or academies must understand the demands of students regarding the academic environment, and in particular, to know what factors determine the decision from the customers' point of view. This study contributes significantly to the understanding of agencies and educational managers about the student's choice behavior in the context of the need to improve foreign languages and, thus, help improve the competitiveness of agencies and English schools.

• Journal of Forest and Environmental Science
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• v.40 no.1
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• pp.24-34
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• 2024

Fire, being primarily a natural phenomenon, is impossible to control, although it is feasible to map the forest fire risk zone, minimizing the frequency of fires. The spread of a fire starting in any stand in a forest can be predicted, given the burning conditions. The natural cover of the land and the safety of the population may be threatened by the spread of forest fires; thus, the prevention of fire damage requires early discovery. Satellite data and geographic information system (GIS) can be used effectively to combine different forest-fire-causing factors for mapping the forest fire risk zone. This study mainly focuses on mapping forest fire risk in the Madikhola watershed. The primary causes of forest fires appear to be human negligence, uncontrolled fire in nearby forests and agricultural regions, and fire for pastoral purposes which were used to evaluate and assign risk values to the mapping process. The majority of fires, according to MODIS events, occurred from December to April, with March recording the highest occurrences. The Risk Zonation Map, which was prepared using LULC, Forest Type, Slope, Aspect, Elevation, Road Proximity, and Proximity to Water Bodies, showed that a High Fire Risk Zone comprised 29% of the Total Watershed Area, followed by a Moderate Risk Zone, covering 37% of the total area. The derived map products are helpful to local forest managers to minimize fire risks within the forests and take proper responses when fires break out. This study further recommends including the fuel factor and other fire-contributing factors to derive a higher resolution of the fire risk map.

• Journal of Periodontal and Implant Science
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• v.46 no.3
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• pp.207-217
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• 2016

Purpose: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases. Methods: Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution. Results: The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient's regional center to the hospital was $30.94{\pm}29.62km$ and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was $52.41{\pm}12.97years$. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses. Conclusions: The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.61-66
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• 2005

Spatiotemporal data mining represents the confluence of several fields including spatiotemporal databases, machine loaming, statistics, geographic visualization, and information theory. Exploration of spatial data mining and temporal data mining has received much attention independently in knowledge discovery in databases and data mining research community. In this paper, we introduce an algorithm Max_MOP for discovering moving sequences in mobile environment. Max_MOP mines only maximal frequent moving patterns. We exploit the characteristic of the problem domain, which is the spatiotemporal proximity between activities, to partition the spatiotemporal space. The task of finding moving sequences is to consider all temporally ordered combination of associations, which requires an intensive computation. However, exploiting the spatiotemporal proximity characteristic makes this task more cornputationally feasible. Our proposed technique is applicable to location-based services such as traffic service, tourist service, and location-aware advertising service.

• KDI Journal of Economic Policy
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• v.38 no.4
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• pp.1-21
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• 2016

This paper documents how the net profit margin of private firms improves when the CEOs of the companies relocate their primary residence to be closer to the corporate headquarters. By reviewing 127 Korean non-public companies belonging to 66 private business groups, we find that the top managers move closer to the headquarters when the profitability of the firms has recently deteriorated. A one basis point decline in the margin causes CEOs to relocate their homes approximately two kilometers closer to their corporate headquarters. The profit margin rebounds after their relocation. This finding implies that physical proximity can serve as a proxy for personal commitment.