• 한국농공학회논문집
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• 제65권4호
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• pp.25-32
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• 2023

KDS (Korean Design Standard) for agricultural drainage is a planning standard that helps determine the appropriate capacity and type of drainage facilities. The objective of this study was to analyze the inundation of the agricultural basin considering the current design standard and the critical rainfall duration. This study used the rainfall durations of 1-48 hour, and the time distribution method with the Chicago and the modified Huff model. For the runoff model, the NRCS (Natural Resources Conservation Service) unit hydrograph method was applied, and the inundation depth and duration were analyzed using area-elevation data. From the inundation analysis using the modified Huff method with different rainfall durations, 4 hours showed the largest peak discharge, and 11 hours showed the largest inundation depth. From the comparison analysis with the current method (Chicago method with a duration of 48 hours) and the modified Huff method applying critical rainfall duration, the current method showed less peak discharge and lower inundation depth compared to the modified Huff method. From the simulation of changing values of drainage rate, the duration of 11 hours showed larger inundation depth and duration compared to the duration of 4 hours. Accordingly, the modified Huff method with the critical rainfall duration would likely be a safer design than the current method. Also, a process of choosing a design hydrograph considering the inundation depth and duration is needed to apply the critical rainfall duration. This study is expected to be helpful for the theoretical basis of the agricultural drainage design standards.

• 유통과학연구
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• 제15권6호
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• 한국항만경제학회지
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• 제38권3호
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• pp.105-131
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• 2022

2019년 개선 이후에도 글로벌 컨테이너 항만시장의 성과를 평가하는 UNCTAD의 정기선해운연계지수(LSCI)는 사용이 제한적이다. 특히 정기선해운연계지수는 관계의 거리만을 기준으로 성과를 평가하기 때문에 기항 매력을 결합한 성과지수가 더 효율적일 것이다. 본 연구에서는 일본 Ocean-Commerce사의 2007, 2017, 2019년 데이터에 수정된 Huff 모델, 소셜 네트워크 분석의 허브-권한 알고리즘 및 고유벡터 중심성, 그리고 상관관계 분석을 사용하였다. 연구 결과는 다음과 같다: 첫째, 기항 매력도와 항만의 전반적 성과가 항상 일치하지는 않았다. 기항 매력도 분석에 따르면 부산은 10위권 안에 머물렀다. 더불어 우리나라의 다른 항만에 대한 기항 매력도도 분석 기간 중 낮은 수준에서 서서히 개선됐다. 둘째, 글로벌 컨테이너항은 일반적으로 항로별로 반입항과 반출항 역할로 장기 특화되어 있으며, 전 기간에 걸쳐 전문성을 유지하면서 성장하고 있다. 그러나 우리나라의 항만은 분석 시기마다 역할이 계속 바꿨다. 마지막으로 본 연구에서 제시한 기간별 항만물동량과 확장항만연계지수(Extended Port Connectivity Index, EPCI)는 0.77에서 0.85사이의 상관관계를 보였다. 비록 대서양 자료가 EPCI 분석에 제외되고 항만물동량 대신 선박의 처리능력을 사용하였지만 둘은 높은 상관관계를 보였다. 이러한 결과는 글로벌 항만을 평가하고 분석하는 데 도움이 될 것이다. 연구에 따르면 한국의 항만은 전문성을 유지하면서 성과를 향상하기 위한 장기 전략이 필요하다. 특히 항만의 바람직한 역할을 유지·발전시키기 위해서는 보완항과의 협력과 파트너십을 활용하고 보완항에 기항하는 선사들의 서비스를 유치하는 것이 바람직하다. 본 연구가 장기간에 걸친 많은 데이터와 방법론을 사용한 복잡한 분석을 수행하였지만, 전세계 항만 대상의 연구, 장기적 패널 분석, 기항 매력도 분석에 대한 과학적 매개변수 추정이 수행되면 연구의 완성도가 더욱 높여질 것이다.