• 대한교통학회지
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• 제32권6호
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• pp.638-650
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• 2014

본 연구의 목적은 서울 도심지역의 행정동별 지역적 요소와 계획적 요소가 목적지로의 통행수단으로서 보행을 결정하는 것에 미치는 영향의 정도를 파악하고, 이에 대한 분석 결과 및 보행의 공간적 특성을 통해 지역별 특성을 파악하고자 함에 있다. 보행 결정에 영향을 미치는 요소들의 영향 정도를 파악하기 위해 본 연구에서는 전역적 차원의 회귀분석 모형인 최소자승모형을 사용하였고, 이와 더불어 다양한 공간통계 분석모형 중 지역별 보행특성을 기반으로 공간적 이질성을 고려하는 지리가중회귀모형의 적용을 통해 지역별 특성을 파악하고자 하였다. 전역적 차원의 회귀분석 결과 목적지로의 보행 선택에 영향을 주는 요소로는 지역적 요소 중 교통시설 지역 및 상업지역, 대학교 면적이, 계획적 요소 중에서는 교육.연구시설 및 계획시설 면적이 보행 선택에 정의 영향을 주었다. 마지막으로 지리가중회귀모형의 분석 결과를 통해 서울 도심지역 중 교통중심지 및 취약지, 상업 업무 중심지, 대학가 중심지, 연구시설 밀집지를 파악할 수 있었다. 본 연구의 결과를 통해 지역 및 공간적 이질성에 대한 이해 없이 진행되었던 기존의 계획 및 정책들에 지역적 특성이라는 정보를 제공함으로 이에 대한 반영의 여지를 주어 보다 지역발전 차원의 계획 수립에 기여할 수 있을 것이라는 점에 본 연구의 의의가 있을 것이라 여겨진다.

• The Journal of Asian Finance, Economics and Business
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• 제6권2호
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• pp.33-44
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• 2019

The Indonesian government launched a new people's business credit program as part of a package of economic policy and deregulation. The interest rate is set lower than the average of the current loan interest rates, especially when compared with rural bank interest rates. To capture the social spatial aspects, quota sampling is applied to ten areas that divided based on the social culture. Further, the method utilized in this research is logit models, which designed to analyse the determinants of asymmetric information particularly on the rural bank and small micro enterprises. The study was conducted in East Java as the province with the largest number of rural banks in Indonesia. Based on the estimation of asymmetric information model to the respondent of rural banks and small businesses, the result shows that adverse selection can be avoided by strengthening the information about prospective borrowers. Regarding moral hazard, rural banks and small businessmen argued that the imposition of the collateral to the debtor has an important role to avoid moral hazard. Rural bank respondents stated that the KUR program with low-interest rates has affected their business development. The results implied the need of broadening the collaboration schemes between this people's business credit program and rural banks.

• East Asian Economic Review
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• 제25권1호
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• pp.3-31
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• 2021

This paper estimates the effects of transport (road and rail) & energy and ICT infrastructure (telephone, mobile, and broadband) on GDP growths in neighboring countries as well as own countries. We confirm positive direct contributions of infrastructure, access to Internet, and human capital on economic growth. The spatial panel regression models indicate that there exist positive externalities of the broadband infrastructure and human capital, and these results are robust regardless of the choice of spatial weight matrices. Our findings on spillover effects of infrastructure suggest the key role of neighboring countries' infrastructure on own country's economic growth.

• 자원ㆍ환경경제연구
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• 제14권4호
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• pp.923-941
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• 2005

축산농가로부터 발생되는 악취문제는 지역사회에 중요한 이슈로 떠오르고 있다. 본 연구는 미국의 콜로라도 주의 한 지역(Weld County)에서 거래된 3,355개의 주택이 199개의 축산농가의 악취 때문에 거래가격에 얼마나 영향을 받았는지를 분석하였다. 특히 주택시장에 잠재적으로 존재하는 공간상관관계를 분석에 포함하기 위해 공간 헤도닉 모형을 이용하였다. 결과를 보면 이 지역은 전통적으로 육우와 비육우 농가가 많아서인지 소규모의 육우와 비육우 농장은 오히려 농촌의 전형적인 전원생활의 일부로 주택가격에 양의 파급효과로 나타났다. 그러나 악취로 인한 주택가격의 영향은 축산업의 규모와 업종에 따라 차이를 보였다. 일정규모 이상을 넘어서는 농가와 특정 업종은 주택가격을 하락시키는 것으로 분석되었다. 특히 대규모의 양돈과 양(sheep)은 주택과 근거리에 있는 경우 지역사회에 결정적인 경제적 손실을 초래하고 있음을 알 수 있었다. 축산업의 악취는 부정적인 외부효과의 하나로 지역사회에 사회적인 비용으로 나타난다. 정책결정자는 이 같은 사회적인 비용을 최소화하고 지역경제개발 효과를 극대화하기 위해 이 같은 사회적인 비용을 지역계획 수립에 반영해야 한다. 특히 주택과 축산업의 위치와 특성을 적절히 고려해야 할 것이다.

• 농촌계획
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• 제30권2호
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• pp.1-11
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• 2024

Farmland transaction prices are affected by various factors such as politics, society, and the economy. The purpose of this study is to identify multiple factors that affect the farmland transaction price due to changes in the actual transaction price of farmland by farmland unit from 2016 to 2020. There are several previous studies analyzed the determinants of farmland transaction prices by considering spatial dependency. However, in the case of land transactions where the time and space of the transaction affect simultaneously, if only spatial dependence is considered, there is a limitation in that it cannot reflect spatial dependence that occurs over time. In order to solve these limitations, To address these limitations, this study builds a spatio-temporal autoregressive model that simultaneously considers spatial and temporal dependencies using farmland transactions in Jinju City as an example. As a result of the analysis, it was confirmed that there was significant spatio-temporal dependence in farmland transactions within the previous 30 days. This means that if the previous farmland transaction was carried out at a high price, it has a spatio-temporal spillover effect that indirectly affects the increase in the price of other nearby farmland transactions. The study also found that various location attributes and socioeconomic attributes have a significant impact on farmland transaction prices. The spatio-temporal autoregressive model of farmland prices constructed in this study can be used to improve the prediction accuracy of farmland prices in the farmland transaction market in the future, and it is expected to be useful in drawing policy implications for stabilizing farmland prices

• International Journal of Human Ecology
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• 제14권1호
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• pp.87-102
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• 2013

This study investigated residents' preferences for spatial features of sitting areas in assisted living facilities, and provides recommendations for planning sitting areas to support residents' spatial preferences and social interaction. The study participants were 69 residents of eight assisted living facilities (30+ resident capacity), located in south central Texas. A photographic comparison method was used, in which residents were shown 20 matched pairs of photos, with a single feature digitally modified in each pair, and asked to select which environmental representation they preferred. The hypothesized spatial characteristics were identified in practice based literature as those that may encourage usage of sitting areas: viewability, variety, homelikeness, and privacy. Most of the hypothesized features were preferred by participants, with the highest preference found for non-institutional furniture arrangements and naturalness, followed by increasing enclosure and variety of seating. Preference was less significant for domestic cues such as carpeted floors, divided light windows, and boundaries defined by different colored material or columns, possibly due to their physical impairments or preference for visual openness. Participants' level of mobility assistance was significantly related to their preference for some features, such as seating with people-watching capability, and carpeted floors. The findings have implications for facility architects and administrators engaged in resident-oriented spatial planning.

• Human Ecology Research
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• 제54권2호
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• pp.131-139
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• 2016

This study analyzes the welfare services and spatial composition of social welfare centers that represent complex welfare facilities in order to provide basic information for the spatial planning of social welfare centers. We examined 15 social welfare centers built in the 2000s. A literature review and case study were used as research methodology. The findings are as follow. First, services provided at the surveyed facilities overlapped for seniors and the handicapped. Most social welfare centers provided welfare services for seniors, young children, and teenagers. Second, the proportion of common area, program rooms was high for spatial composition. Third, front access by car was most common (used at nine centers) for the design of the access area and used by. Fourth, shared entry and exit was most common (used at 10 centers) for the design of the entrance. Fifth, regarding space combining style, a mixed style was most frequently used (observed at seven centers) where different private areas for different service users were partly mixed on certain floors. Sixth, a corridor type was most common (used at seven centers) for the design of a corridor space where visitors could walk along the corridor to access individual rooms. Based on the findings, we propose spatial composition of social welfare centers to promote mingling and exchanges among users of different generations.

• 농촌계획
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• 제16권1호
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• pp.9-20
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• 2010

The aim of this paper is to identify Korean agricultural and agri-manufacturing cluster using a multi-regional input-output model. This paper derives a representative set of five agricultural and agri-manufacturing clusters in Korea in terms of spatial and industrial interdependency. The results show that agriculture and agri-manufacturing clusters agglomerated in Seoul Metropolitan Area and Chungcheong Area are linked both production and manufacture functions, whereas Gangwon Area is more focused on production and Jeolla Area is more concentrated on manufacture.

• 한국콘텐츠학회논문지
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• 제12권2호
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• pp.461-471
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• 2012

본 논문의 목적은 공간적탐색기법을 이용한 부산 주택시장 다이나믹스 분석으로써 MATLAB toolbox M-file을 이용하였다. 본 연구에서 사용된 자료는 2006년부터 2009년 2분기까지 공개된 부산지역 아파트 실거래가 64,530개 자료를 기준으로 법정동을 분류하여 각 평균값을 분석에 이용하였다. 주택시장분석에 많이 이용되는 헤도닉가격 모형은 도시주택경제 분야에서 주택시장 다이나믹스를 설명하는데 강력한 분석기법의 하나이다. 그럼에도 불구하고 전통적인 헤도닉가격 모형은 공간적자기상관의 영향력을 반영하지 않는 단점이 있다. 따라서 본 논문에서는 공간자기상관 관계를 반영한 다양한 공간계량모형, 예를 들어, 공간자기회귀모형(SAR), 공간오차모형(SEM), 일반공간모형(SAC) 등을 보통최소자승법을 이용한 전통적 헤도닉가격 모형과 비교하고자 한다. 이를 위해 결정계수($R^2$), 분산(${\sigma}^2$), 우도함수(Likelihood)의 값 등의 지표들을 이용하였다. 분석결과 공간자기상관을 고려한 공간계량모형이 전통적 헤도닉모형에 비해 높은 설명력을 보여주고 있다. 공간계량모형에서는 공간오차모형(SEM)과 일반공간모형(SAC)이 공간자기회귀모형(SAR) 보다 우수한 설명력을 보이고 있다.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.750-759
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• 2020

The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.