• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.3
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• pp.159-168
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• 2022

Local governments should try to resolve the inequality of living SOC (Social Overhead Capital) and construct spatial information on the location of living SOCs and optimal locations. This study analyzed the accessibility, equity, and optimal location of the living SOC, considering the research needs related to the living SOC. The target facility is core living facilities(a public library, a park, a culture center, and a public daycare center). The analysis area is Suwon city in Gyeonggi province, and the base year of the analysis is 2020. The study calculated accessibility per population in a microscopic neighborhood living area(200m×200m). The Gini coefficient was used to identify the regional disparity in accessibility among Dong regions. The optimal location was explored with the Maximal Covering Location Problem theory. As a result, spatial accessibility of facilities except for public daycare centers revealed a large gap between regions. Areas with excellent accessibility also showed significant variations in the facilities. The regional disparity in living SOC was the largest in culture centers, followed by parks, public daycare centers, and public libraries. The optimal locations for public libraries, parks, and culture centers are concentrated in the old downtown, while those of public daycare centers are found throughout Suwon city. The results of this study are the crucial contents of spatial planning for SOC supply in local governments. Therefore, follow-up studies will be able to refer to the analysis structure and results of the study.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.602-605
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• 2022

본 연구는 대량의 상권 데이터를 바탕으로 머신 러닝과 딥러닝 분석을 이용하여 최적의 상권 입지를 추천하는 시스템 개발을 목표로 한다. 자영업자들의 오프라인 창업에 있어 개개인의 매장 정보에 기반한 입지 조건 판단은 앞으로의 매출에 중요한 시작점이다. 따라서 상권 정보를 기반으로 미래 매출을 예측하여 최적의 상권 입지를 추천하는 기술이 필요하다. 이를 위해 기존에 선행된 다수의 회귀 기법과 더불어 강하게 편향된 데이터를 레이블링 하여 다중 분류 기법으로도 문제를 접근한다. 최종적으로 딥러닝 모델과 합성하여 더 높은 성능을 이끌어내고 이로부터 편향 데이터 처리 방법과 딥러닝 모델과의 앙상블 중요성에 대해 논의하고자 한다.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.83-106
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• 2021

Interests in clean fuels have been soaring because of environmental problems such as air pollution and global warming. Unlike fossil fuels, hydrogen obtains public attention as a eco-friendly energy source because it releases only water when burned. Various policy efforts have been made to establish a hydrogen based transportation network. The station that supplies hydrogen to hydrogen-powered trucks is essential for building the hydrogen based logistics system. Thus, determining the optimal location of refueling stations is an important topic in the network. Although previous studies have mostly applied optimization based methodologies, this paper adopts machine learning to review spatial attributes of candidate locations in selecting the optimal position of the refueling stations. Machine learning shows outstanding performance in various fields. However, it has not yet applied to an optimal location selection problem of hydrogen refueling stations. Therefore, several machine learning models are applied and compared in performance by setting variables relevant to the location of highway rest areas and random points on a highway. The results show that Random Forest model is superior in terms of F1-score. We believe that this work can be a starting point to utilize machine learning based methods as the preliminary review for the optimal sites of the stations before the optimization applies.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.79-83
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• 2009

천변저류지는 침수시 피해가 큰 도시지역을 보호하기 위하여 도시구간의 상류 특정구간을 저류공간으로 이용하여 홍수를 조절하는 방법이다. 천변저류지는 하도흐름에 직접적인 영향을 미치기 때문에 주어진 규모 대비 첨두홍수량 조절효과가 다른 홍수방어대책에 비해 크다고 알려져 있어 유역종합치수계획이나 풍수해저감종합계획 등에서 상당히 자주 주요 검토대상이 되고 있다. 이와 관련하여 GIS를 이용한 천변저류지의 가용입지를 조사하는 방법론 등은 상당한 진보를 이루었으나 이렇게 조사된 다양한 입지들 중에서 특정 보호대상 도시를 기준으로 가장 홍수조절 효과가 크고 경제성이 높은 입지를 판단하는 것은 다양한 수문조건과 이에 대한 정밀한 모의가 필요하므로 상당히 어려운 문제가 된다. 이때 천변저류지의 입지가 보여주는 위치와 규모를 이용하여 개략적으로 홍수조절 효과를 미리 판단할 수 있다면 상위계획단계에서 우선순위 등을 검토할 경우의 개략적인 해석수단으로 유용하게 쓰일 수 있다. 본 연구에서는 SWMM 모형을 이용해 홍수유출 및 하천수리 해석을 연계하여 수행하는 방법론을 통해 천변저류지의 홍수조절효과를 모형화하였다. 이때, 다양한 조건에서의 천변저류지의 위치 및 용량에 따른 홍수조절효과를 모의함으로써 주어진 입지에 따른 최적 홍수방어계획을 수립할 수 있는 기준을 도출할 수 있었다.

• Journal of Korean Society of Transportation
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• v.19 no.5
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• pp.99-108
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• 2001

A framework of using and integrating GIS and OR tools for determining the best site selection has been provided. In this research, we demonstrated that both the P-Median heuristic method and MIP method can be successfully applied to the optimum site selection problem of oil tank location selection. Furthermore, the results identified by both approaches are identical. To accomplish this, both GIS road and maritime networks have been constructed and combined to calculated the minimum distance matrix, which is required by both approaches. After the application to the Korean peninsula, the facility locations chosen are Kunsan, Yosu, Busan, and Okgye for each district. As has been shown, the power of GIS and both algorithm have been demonstrated throughout the research and further similar research can also be conducted using the power of GIS and Operations Research tools.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.95-115
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• 2012

The initial market of alternative-fuel vehicle (AFV) will show geographically uneven distribution due to AFV's high price, and thus efficient location model should consider spatial variation of demand. This paper estimates AFV trips by incorporating an AFV demand estimation model with origin-destination (OD) trips. The estimates are the input for the flow-refueling location model that maximizes the OD flows that can be refueled by the given number of stations considering AFV's limited range per refueling. A scenario analysis is conducted by varying assumptions in estimating demands and AFV acceptance rate. Optimal location alternatives for Orland metropolitan area are provided and results are compared.

• Journal of the Korean Geographical Society
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• v.45 no.4
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• pp.521-539
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• 2010

Recently many local governments have carried out dong merger and abolition process to cope with rapidly changing administrative demand and environment. This administrative effort impacts substantially the locational characteristics of the existing dong offices which directly involve in the quality of local community life. In this paper, we attempt to analyze the location pattern of current dong community service centers (formerly, 'dong office') and suggest the optimal locations maximizing spatial accessibility. As an application, we examine the location pattern of the existing dong community service centers in Mapo-gu, Seoul. Moreover, we compare current spatial configurations with the optimally selected locations such as, a Median maximizing spatial efficiency, a Center maximizing spatial equity, and a Centdian exploring compromising solutions regarding the tradeoff between efficiency and equity. The analytical results present that each of dong community service centers was systematically evaluated in terms of spatial efficiency and equity and in general the community service center locations are not spatially optimized with respect to efficiency and equity, compared with the optimal locations.

• Journal of the Korean Society of Hazard Mitigation
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• v.2 no.1 s.4
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• pp.153-159
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• 2002

Disasters are the phenomena that we have to prevent the occurrence in order to keep the safety to human lives and properties, and if occurred, we have to minimize the economic, social, and mental costs of the occurred disasters or incidents. This research analyzes the optimal location of fire stations in terms of served population maximization in Seoul. This research introduces "the maximal covering location problem(MCLP)," one of the optimization techniques, as the primary research method. This research also applies a geographic information system into spatial distribution analyses of existing fire stations and observed fire incidents. Results from the analyses show that the existing location of fire stations and branches need to be improved. The dispatch location of fire engines should be reconsidered for rapid services of fire fighting.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.77-78
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• 2010

본 연구는 공공기반시설인 소방서 위치의 중요성을 인식하여 서울시의 소방서의 위치를 분석하고 최적의 위치에 있는지 평가하고자 한다. 소방서의 입지분석을 위하여 소방관서의 입지조건이 되는 연구의 밀집도, 건물의 수 자료와 소방방재청에서 분석한 통계자료의 정량적인 분석을 통해서 소방서의 공급량을 결정한다. 결정된 공급량, 즉 소방서 설치 개수에 따라 소방 서비스의 취약지점의 발생을 최소화하기 위하여 네트워크 분석과 입지조건 요소를 이용하여 서비스 수준을 평가한다.

• Journal of Korean Society of Transportation
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• v.26 no.3
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• pp.145-153
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• 2008

This study proposes a facility location model in consideration of spatial coverage and travel cost as an effort to make objective and effective decisions of natural gas filling stations. The proposed model is developed for fixed stations and consists of two stages. The first stage employs a heuristic algorithm to find a set of locations which satisfy the spatial coverage constraints determined by the maximum travel distance between the filling stations and bus depots. In the second stage, the optimal location of filling stations is determined based on the minimum travel cost estimated by using a modified transportation problem as well as the construction and maintenance costs of the filling stations. The applicability of the model is analyzed through finding the optimal location of filling stations for the city of Anyang, a typical medium-sized city in metropolitan Seoul, based on the demand of natural gas buses. This study is expected to help promote the spread of natural gas buses by providing a starting point of a objective and reasonable methodological perspective to address the filling station location problem.