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장희수(Jang, Hee-Su),이민섭(Lee, Min-Seop),홍병곤(Hong, Byung-Gon),황재훈(Hwang, Jea-Hoon) 한국도시설계학회 2013 도시설계 : 한국도시설계학회지 Vol.14 No.4
본 연구는 오픈스페이스와 공공시설물을 대상으로 경관구성요소를 분류하고 세부요소를 유형화한 후 연령에 중점을 두어 이용자들이 인식하는지 알아보고자 하였다. 모든 연령층이 공공시설물보다 오픈스페이스를 중요하게 인식하였다. 10대는 오픈스페이스의 세부요소 중에서 휴식공간을 가장 중요한 요소로 인식하며, 공공시설물의 세부요소 중에서 신호등을 가장 중요한 요소로 인식하였다. 20대는 오픈스페이스의 세부요소로 보행도로를 중요한 요소로 인식하고 있으며, 공공시설물의 세부요소 중에서 벤치를 중요하게 인식하였다. 30대는 20대와 마찬가지로 오픈스페이스의 세부요소로 보행도로를 중요하게 인식함과 동시에 공공시설물의 세부요소로 파고라를 중요하게 인식하고 있다. 40대는 오픈스페이스의 세부요소를 녹지공간과 휴식공간을 동일하게 인식하는 것으로 분석되었다. 또한 공공시설물의 가로수를 가장 중요한 세부요소로 인식하고 있다. 마지막으로 50대 이상은 오픈스페이스의 녹지공간을 가장 중요한 세부요소로 인식하며 공공시설물의 세부요소로 가로수를 중요한 요소로 인식하고 있는 것으로 나타났다. This study is to reveal how differently the various age groups perceive categorized open spaces and public facilities. For this purpose, the landscape factors were established based on the results derived from the theoretical study and the field survey for selected case. The final results from survey demonstrated that across all age groups, the open space landscapes were perceived as the more important type than public facilities. Meanwhile, unlike respondents in the younger age groups who had prioritizes accessibility, those in their forties and fifties perceived pleasantness to be of greater importance, and regarded green spaces and rest areas to be equally important specific components. As different age groups thus have varying perceptions, henceforth when dealing with landscapes it will be necessary to be more prudent and aware of social responses, in particular to take close attention to potential variances in responses according to the variety of age groups. This study illuminates the importance of the impact variable according to age groups on landscape perception, and may be utilized as important foundational data for planning and designing landscapes.
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부분균형모형을 이용한 전복 수급전망모형 구축에 관한 연구
한석호 ( Suk-ho Han ),장희수 ( Hee-soo Jang ),허수진 ( Su-jin Heo ),이남수 ( Nam-su Lee ) 한국수산경영학회 2020 수산경영론집 Vol.51 No.2
The purpose of this study is to construct an outlook model that is consistent with the “Fisheries Outlook” monthly published by the Fisheries Outlook Center of the Korea Maritime Institute(KMI). In particular, it was designed as a partial equilibrium model limited to abalone items, but a model was constructed with a dynamic ecological equation model(DEEM) system taking into account biological breeding and shipping time. The results of this study are significant in that they can be used as basic data for model development of various items in the future. In this study, due to the limitation of monthly data, the market equilibrium price was calculated by using the recursive model construction method to be calculated directly as an inverse demand. A model was built in the form of a structural equation model that can explain economic causality rather than a conventional time series analysis model. The research results and implications are as follows. As a result of the estimation of the amount of young seashells planting, it was estimated that the coefficient of the amount of young seashells planting from the previous year was estimated to be 0.82 so that there was no significant difference in the amount of young seashells planting this year and last year. It is also meant to be nurtured for a long time after aquaculture license and limited aquaculture area(edge style) and implantation. The economic factor, the coefficient of price from last year was estimated at 0.47. In the case of breeding quantity, it was estimated that the longer the breeding period, the larger the coefficient of breeding quantity in the previous period. It was analyzed that the impact of shipments on the breeding volume increased. In the case of shipments, the coefficient of production price was estimated unelastically. As the period of rearing increased, the estimation coefficient decreased. Such result indicates that the expected price, which is an economic factor variable and that had less influence on the intention to shipments. In addition, the elasticity of the breeding quantity was estimated more unelastically as the breeding period increased. This is also correlated with the relative coefficient size of the expected price. The abalone supply and demand forecast model developed in this study is significant in that it reduces the prediction error than the existing model using the ecological equation modeling system and the economic causal model. However, there are limitations in establishing a system of simultaneous equations that can be linked to production and consumption between industries and items. This is left as a future research project.
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