지리적 표시 브랜드 지역 특산품의 광고모델 유형에 따른 소비자 태도 연구

신인범 사단법인 미래융합기술연구학회 2022 아시아태평양융합연구교류논문지 Vol.8 No.1

This study analyzes customers’ attitude towards local specialties with or without geographical indications and the types of their advertising models – product-oriented, head of local governments-oriented, and producer- oriented. Also, it analyzes GI product consumers’ responses to questionnaire survey for the impact of brand equity components on consumers’ attitude, and presents efficient advertising plans to induce continuous consumption. Another analysis on consumers’ attitude towards GI advertising models confirms that there is no significant difference in product reliabilities, brand attitudes, purchase intentions, and brand loyalties between the GI local specialties and their models. On the other hand, there is a significant difference in product reliabilities about advertising models and products, and the product attributes have higher reliabilities than advertising model ones. On the issue of types of advertising models of GI products, consumers' behavior in their buying decision is affected by product reliabilities, brand attitudes, purchase intentions, and brand loyalties. The survey indicates that using producer models draw more effective outcome than using head of local government models. Also, the images of models advertising local specialties with GI has reliabilities in each factor of reliability, familiarity, professionality. Thus, this study draws a conclusion that produce models among the models of GI applied local specialties have the highest effect in the factor of reliability. Additionally, this study confirms that the product reliabilities and purchase intentions are high when the geographical indications are marked in local specialties. Also, the analysis about the consumers’ attitude towards images of GI local specialties shows that the reliabilities in the factors of foods credibility, environmental cleanliness, and the regional friendliness are the highest rating points. Therefore, the GI information and aggressive PR strategies are recommended. 본 연구는 지리적 표시 브랜드 지역특산품의 광고모델 유형에 따른 소비자 태도에 대해 지리적 표시 지역 특산품 브랜드를 중심으로 연구하였다. 즉 지리적 표시 브랜드 유·무와 광고모델 유형에 따른 소비자의 태도에 대하여 지리적 표시 지역 특산품과 모델·제품에 따른 소비자 태도에는 차이가 있는가와, 지리적 표시 지역 특산품의 모델 이미지는 소비자 태도에 어떠한 영향을 미치는가의 세부 연구문제로 구분하여 연구문제를 설정하여 분석하였다. 이를 위하여 지리적 표시, 광고모델 유형, 소비자 태도에 관한 선행연구를 통해 지리적 표시의 개념과 현황에 대하여 알아보았고, 광고모델 유형은 유명인 모델과 전문가 모델, 최고경영자 모델과 일반소비자 모델로 구분하여 알아보았다. 지리적 표시 지역 특산품의 제품과 광고모델에 따른 소비자의 태도의 연구문제 해결을 위해 지리적 표시 지역 특산품과 모델·제품에 따른 제품 신뢰도, 브랜드 태도, 구매의도, 브랜드 충성도 차이검증 분석 결과를 살펴보면 지역 특산품에 따른 제품 신뢰도에는 유의한 차이가 나타나지 않음을 확인하였다. 그러나 광고모델과 제품에 따른 제품 신뢰도에는 유의미한 차이가 있는 것으로 나타났으며, 제품속성이 광고모델 속성보다 제품의 신뢰도가 높은 것으로 나타났다. 지리적 표시 지역 특산품의 광고모델 유형에 따른 소비자 태도를 제품 신뢰도, 브랜드 태도, 구매의도, 브랜드 충성도의 차이검증 분석 결과를 통해 살펴보면 생산자 모델의 경우가 지자체단체장 모델보다 더 높은 것으로 확인되었고, 지리적 표시 지역 특산품의 모델이미지는 신뢰성요인, 친숙성요인, 전문성요인으로 도출된 각 항목 간의 신뢰도 역시 높음을 확인하였다. 이를 통해 지리적 표시 지역 특산품의 광고모델 유형에는 생산자 모델이 신뢰에 대한 요인이 크게 영향을 미치고 있음을 증명하였다. 이를 토대로 지리적 표시 지역 특산품의 광고모델 유형에는 신뢰에 대한 요인이 크게 영향을 미치고 있음을 증명하였다. 또한 소비자의 태도에 대한 다양한 실증 데이터를 통해 브랜드 자산으로서의 지리적 표시 브랜드와 지역 이미지 마케팅에 대한 학문적 접근에 의의를 갖고자 한다.

GARP 모형과 기후변화 시나리오에 따른 잣나무의 지리적 분포 변화

천정화 ( Jung Hwa Chun ),이창배 ( Chang Bae Lee ),유소민 ( So Min Yoo ) 한국농림기상학회 2015 한국농림기상학회지 Vol.17 No.4

본 연구는 그간 우리나라에서 경제적인 가치를 인정 받아온 수종인 잣나무를 대상으로 잣나무의 현존 분포를 파악하고, RCP (Representative Concentration Pathway) 8.5 기후변화 시나리오와 생태적 지위 모형에 기반하여 향후 잣나무의 분포 변화를 예측하기 위해 수행되었다. 이를 위해 5년간의 NFI 자료에서 조사지점별 잣나무의 풍부도 자료를 추출하여 사용하였으며, 수종에 영향을 미치는 환경요인변수를 선정하기 위해 생태적지위 모형 가운데 하나인 GARP (Genetic Algorithm for Rule-set Production)를 이용하였다. 총 27개의 환경요인변수에 대해 각각 모형을 구동하고 컨퓨전 매트릭스(Confusion Matrix) 기반 산출 통계량인 AUC (Area Under Curve)가 0.6 이상인 변수들을 선발하여 최종 잠재분포모형을 작성하였다. 그 결과 작성된 모형은 비교적 높은 적합도를 나타냈는데 잣나무는 현재 표고의 범위가 300m에서 1,200m 사이인 지역 및 남부에서 북부에 이르기까지 넓게 자리 잡고 있는 것으로 나타났다. 작성된 모형에 RCP 8.5 기후변화 시나리오를 적용한 결과, 잣나무는 2020년대부터 잠재분포역이 큰 폭으로 축소되며, 2090년대에는 우리나라 대부분의 지역이 잣나무의 생육에 불리할 것으로 예측되었다. 본 연구를 통해 기후변화가 잣나무 분포에 미치는 영향을 파악하고, 잣나무와 기후변화와의 상관성에 대한 이해를 높임으로써 향후 지역별 조림수종 선정 및 경제수종 교체 등의 조림적 관점에서 도움이 될 수 있을 것으로 판단된다. The main purpose of this study is to understand the potential geographic distribution of P. koraiensis, which is known to be one of major economic tree species, based on the RCP (Representative Concentration Pathway) 8.5 scenarios and current geographic distribution from National Forest Inventory(NFI) data using ecological niche modeling. P. koraiensis abundance data extracted from NFI were utilized to estimate current geographic distribution. Also, GARP (Genetic Algorithm for Rule-set Production) model, one of the ecological niche models, was applied to estimate potential geographic distribution and to project future changes. Environmental explanatory variables showing Area Under Curve (AUC) value bigger than 0.6 were selected and constructed into the final model by running the model for each of the 27 variables. The results of the model validation which was performed based on confusion matrix statistics, showed quite high suitability. Currently P. koraiensis is distributed widely from 300m to 1,200m in altitude and from south to north as a result of national greening project in 1970s although major populations are found in elevated and northern area. The results of this study were successful in showing the current distribution of P. koraiensis and projecting their future changes. Future model for P. koraiensis suggest large areas predicted under current climate conditions may be contracted by 2090s showing dramatic habitat loss. Considering the increasing status of atmospheric CO2 and air temperature in Korea, P. koraiensis seems to experience the significant decrease of potential distribution range in the future. The final model in this study may be used to identify climate change impacts on distribution of P. koraiensis in Korea, and a deeper understanding of its correlation may be helpful when planning afforestation strategies.

웹 기반 지리과 교수-학습 모형 개발

강창숙,장의선,김일기 한국사회과교육연구학회 2003 사회과교육 Vol.42 No.2

지금까지 인터넷을 활용하는 대부분의 지리교육 연구가 인터넷 환경인 웹 상의 정보를 지리과 교수-학습에 활용하는 정도에 그치는 경우가 많았으며, 대부분 교사 중심의 전통적인 교실 수업의 테두리 속에서 이루어져 왔다. 이들 연구들은 실제적인 교실 수업의 활용을 고려한다는 긍정적인 측면도 있지만, 인터넷이라는 새로운 매체가 가지고 있는 기능적인 특성을 고려하지 못했다는 비판이 이루어지고 있다. 이러한 문제의식에 기초하여, 웹의 특성과 지리 교육의 목적, 내용, 대상 등을 고려하여 웹 기반 지리과 교수-학습에 효과적인 모형을 탐색하고 실제를 개발했다. 문제중심학습 모형과 자원중심학습 모형에 해당하는 웹 기반 지리과 교수-학습 실제 사례를 통해 각각의 특성을 살펴본 결과, 웹 기반 지리과 교수-학습이 보다 효과적인 과정으로 이루어지기 위해서는 상호작용 환경의 구축 필요성을 인식하였다. 이에 학습자간, 학습자-자료간, 학습자-교사간의 상호작용 환경을 중심으로 하는 모형을 개발하고 적용하였다. Use of the Internet is proliferating rapidly, with mounting speculation as to the practical applications for teaching in education, yet few published or evaluated case studies are available in geography education characteristics. The purpose of this study is to review about Web-Based Instruction(WBD model and to develop WBI materials in geography, especially focused on Computer-Mediated Communication (CMC) technique and networking of the Internet. The results of this study are as follows. First, WBI application model suitable to geography are Problem-Based Learning(PBL) as the teaching plan model and Resource-Based Learning(RBL) as the learning information resources model. PBL with individual learning program and cooperative learning program which requires the learner to actively participate in solving given problems. RBL can be defined as a student centered learning mode in which the student learns from their own interaction with a wide range of databases found on the Web to solve problems. These models are commonly effective in improving the geographical thinking competence by WBI. Second, Learning purpose of students is achieved through the interaction and communication with others in the constructivist environment by Web. Also related research and studies show that CMC is the effective technique in improving learning achievement. Thus, the development of Web-Based geographical teaching-learning models has based on the CMC techniques such as learner-learner interaction, learner-content interaction, learner-instructor interaction. This materials established homepage for the geographical instruction board utilizing Web.

Comparison between the Application Results of NNM and a GIS-based Decision Support System for Prediction of Ground Level SO₂ Concentration in a Coastal Area

Ok Hyun Park,Min Gwang Seok,Ji Young Sin 대한환경공학회 2009 Environmental Engineering Research Vol.14 No.2

A prototype GIS-based decision support system (DSS) was developed by using a database management system (DBMS), a model management system (MMS), a knowledge-based system (KBS), a graphical user interface (GUI), and a geographical information system (GIS). The method of selecting a dispersion model or a modeling scheme, originally devised by Park and Seok,(l) was developed using our GIS-based DSS. The performances of candidate models or modeling schemes were evaluated by using a single index(statistical score) derived by applying fuzzy inference to statistical measures between the measured and predicted concentrations. The fumigation dispersion model performed better than the models such as industrial source complex short term model(ISCST) and atmospheric dispersion model system(ADMS) for the prediction of the ground level SO₂ (1 hr) concentration in a coastal area. However, its coincidence level between actual and calculated values was poor. The neural network models were found to improve the accuracy of predicted ground level SO₂ concentration significantly, compared to the fumigation models. The GIS-based DSS may serve as a useful tool for selecting the best prediction model, even for complex terrains.

웹 기반 지리과 교수-학습 자료의 개발

장의선,강창숙,김일기 한국사회과교육연구학회 2003 사회과교육 Vol.42 No.2

지금까지 인터넷을 활용하는 대부분의 지리교육 연구가 인터넷 환경인 웹 상의 정보를 지리과 교수-학습에 활용하는 정도에 그치는 경우가 많았으며, 대부분 교사 중심의 전통적인 교실 수업의 테두리 속에서 이루어져 왔다. 이들 연구들은 실제적인 교실 수업의 활용을 고려한다는 긍정적인 측면도 있지만, 인터넷이라는 새로운 매체가 가지고 있는 기능적인 특성을 고려하지 못했다는 비판이 이루어지고 있다. 이러한 문제의식에 기초하여, 웹의 특성과 지리 교육의 목적, 내용, 대상 등을 고려하여 웹 기반 지리과 교수-학습에 효과적인 모형을 탐색하고 실제를 개발했다.문제중심학습 모형과 자원중심학습 모형에 해당하는 웹 기반 지리과 교수-학습 실제 사례를 통해 각각의 특성을 살펴본 결과, 웹 기반 지리과 교수-학습이 보다 효과적인 과정으로 이루어지기 위해서는 상호작용 환경의 구축 필요성을 인식하였다. 이에 학습자간, 학습자-자료간, 학습자-교사간의 상호작용 환경을 중심으로 하는 모형을 개발하고 적용하였다. Development of Web-Based Geographical Teaching-Learning models Kang Chang-Sook, Jang Eui-Sun, Kim Il-Ki Korea National University of Education Use of the Internet is proliferating rapidly, with mounting speculation as to the practical applications for teaching in education, yet few published or evaluated case studies are available in geography education characteristics. The purpose of this study is to review about Web-Based Instruction(WBI) model and to develop WBI materials in geography, especially focused on Computer-Mediated Communication (CMC) technique and networking of the Internet. The results of this study are as follows. First, WBI application model suitable to geography are Problem-Based Learning(PBL) as the teaching plan model and Resource-Based Learning(RBL) as the learning information resources model. PBL with individual learning program and cooperative learning program which requires the learner to actively participate in solving given problems. RBL can be defined as a student centered learning mode in which the student learns from their own interaction with a wide range of databases found on the Web to solve problems. These models are commonly effective in improving the geographical thinking competence by WBI. Second, Learning purpose of students is achieved through the interaction and communication with others in the constructivist environment by Web. Also related research and studies show that CMC is the effective technique in improving learning achievement. Thus, the development of Web-Based geographical teaching-learning models has based on the CMC techniques such as learner-learner interaction, learner-content interaction, learner-instructor interaction. This materials established homepage for the geographical instruction board utilizing Web.

Automatic 3D soil model generation for southern part of the European side of Istanbul based on GIS database

Sisman, Rafet,Sahin, Abdurrahman,Hori, Muneo Techno-Press 2017 Geomechanics & engineering Vol.13 No.6

Automatic large scale soil model generation is very critical stage for earthquake hazard simulation of urban areas. Manual model development may cause some data losses and may not be effective when there are too many data from different soil observations in a wide area. Geographic information systems (GIS) for storing and analyzing spatial data help scientists to generate better models automatically. Although the original soil observations were limited to soil profile data, the recent developments in mapping technology, interpolation methods, and remote sensing have provided advanced soil model developments. Together with advanced computational technology, it is possible to handle much larger volumes of data. The scientists may solve difficult problems of describing the spatial variation of soil. In this study, an algorithm is proposed for automatic three dimensional soil and velocity model development of southern part of the European side of Istanbul next to Sea of Marmara based on GIS data. In the proposed algorithm, firstly bedrock surface is generated from integration of geological and geophysical measurements. Then, layer surface contacts are integrated with data gathered in vertical borings, and interpolations are interpreted on sections between the borings automatically. Three dimensional underground geology model is prepared using boring data, geologic cross sections and formation base contours drawn in the light of these data. During the preparation of the model, classification studies are made based on formation models. Then, 3D velocity models are developed by using geophysical measurements such as refraction-microtremor, array microtremor and PS logging. The soil and velocity models are integrated and final soil model is obtained. All stages of this algorithm are carried out automatically in the selected urban area. The system directly reads the GIS soil data in the selected part of urban area and 3D soil model is automatically developed for large scale earthquake hazard simulation studies.

The relationship between Polycyclic Aromatic Hydrocarbon (PAH) concentration and traffic count along the urban roadways of a small island state: a spatial analysis technique

Faisal K. Mohammed,Jacob Opadeyi,Denise M. Beckles 서울시립대학교 도시과학연구원 2019 도시과학국제저널 Vol.23 No.4

A major contributor of Polycyclic Aromatic Hydrocarbons (PAHs) in road dust is vehicular emissions from gasoline- and diesel-powered engines. In this study, the modelling of the relations between PAH concentrations in road dust and traffic counts over two climatic seasons were explored using global ordinary least squares (OLS) and local geographically weighted regression (GWR) models. For the various roadways investigated, the performance of the GWR models showed great improvements over the OLS models as denoted by comparisons of the coefficients of determination (r2) and corrected Akaike Information Criterion (AICc) for both seasons. The GWR models also highlighted the existence of spatial non-stationarity in the relationship between PAH concentration and traffic count. The results from this study validate that PAH concentrations in road dust and traffic counts were spatially correlated, however, the possibility of improving the model by utilizing additional independent variables must be explored.

인공적 지형변화가 국지풍에 미치는 영향

김도용 ( Do Yong Kim ),김재진 ( Jae Jin Kim ) 대한원격탐사학회 2016 大韓遠隔探査學會誌 Vol.32 No.2

본 연구에서는 지리정보시스템(GIS) 자료와 전산유체역학(CFD) 모델을 이용하여, 해상교량 건설에 따른 하의도 남쪽 지역의 인공적 지형변화가 국지풍에 미치는 영향을 조사하였다. 수치모델의 지표 경계입력 자료로써 대상영역의 3차원 수치지형은 GIS 자료를 기반으로 구축하였으며, 유입류는 하의도 자동기 상관측소(AWS)에서 관측된 바람자료로부터 설정하였다. 수치모의는 인공적 지형변화 전과 후에 대하여 계절별로 수행하였으며, 인근 염전지역의 바람 차단 효과를 중점적으로 분석하였다. 지표풍속은 접속도로 건설 구간에 인접한 남서쪽 지역에서 최대 유입류 대비 약 5~20% 정도 감소하는 것으로 나타났으며, 염전지역 전체에 대한 지표풍속은 평균 유입류 대비 약 2% 미만 감소하는 것으로 평가되었다. 또한, 서풍계열의 바람은 상대적으로 인공적 지형변화의 영향이 크게 나타났다. The effect of artificial changes in geographical features on local wind was analyzed at the construction site of bridge and fill-up bank in the southern part of Haui-do. Geographic Information System (GIS) data and Computational Fluid Dynamics (CFD) model were used in this study. Three-dimensional numerical topography based on the GIS data for the target area was constructed for the surface boundary input data of the CFD model. The wind observations at an Automatic Weather Station (AWS) located in Haui-do were used to set-up the model inflows. The seasonal simulations were conducted. The differences in surface wind speed between after and before artificial changes in geographical features were analyzed. The surface wind speed decreases 5 to 20% at the south-western part and below 2% of the spatial average for salt field. There was also marked the effect of artificial changes in geographical features on local wind in the westerly wind case for the target area.

서식지 선호도 및 품질 평가 모형의 신뢰성 개선: 한국 고라니의 경우

정지향,김성수 한국신뢰성학회 2022 신뢰성응용연구 Vol.22 No.1

Purpose: Predicting the occurrence of wild species at the landscape level is a crucial task for environmental managers and conservation biologists. Modeling and evaluating wildlife habitat quality based on the Geographic Information Systems (GIS) technique provides new opportunities for enhancing model predictability. Methods: We developed a GIS-based habitat suitability index (HSI) model for Korean water deer (Hydropotes inermis argyropus) in Chungnam province, Korea, where they are a significant cause of damage to vegetables and crops. The model was based primarily on logistic regression analysis and was used to assess the impact of multiple variables, such as landscape patterns and structures, topographic characteristics, and human disturbance, on habitat suitability for the species. After developing the model, we employed it to produce a habitat-suitability map. Results: The HSI model yielded a p-value of 0.339 (χ² = 9.033) and a 74.0% correct prediction rate for the overall predicted data. The model also demonstrated that 42.4% of the province is covered in poor-quality habitat, while Korean water deer prefer fair-quality habitats (mean HSI = 0.50). In addition, the observation probability increased when HSI values rose, meaning that the model has good predictive power. Conclusion: Associations between landscape patterns and habitat requirements could be utilized to build accurate, easy-to-apply, predictive models for the habitats of wild species. The HSI model and habitat-suitability map provide solid foundations on which to build effective wildlife management and Agri-Environment policies with local governments to conserve endangered species.

Modeling spatial variability of harmful algal bloom in regulated rivers using a depth-averaged 2D numerical model

Kim, Jun Song,Seo, Il Won,Baek, Donghae Elsevier 2018 JOURNAL OF HYDRO-ENVIRONMENT RESEARCH Vol.20 No.-

<P>The depth-averaged two-dimensional (2D) model was applied to investigate the spatial variability of harmful algal bloom (HAB) in regulated rivers. This study adopted geographically weighted regression (GWR) to retrieve the spatial distribution of cyanobacterial concentration from satellite imagery data for the calibration of the 2D numerical model in the Nakdong River, South Korea. The GWR model proposed in this study yielded more accurate results compared to a conventional multiple linear regression (MLR) model. The 2D numerical model calibrated with the GWR results well reproduced a high accumulation of cyanobacteria along the shoreline where the cyanobacterial growth was preferred due to longer water residence time (WRT) associated with lower flow velocity. Simulations of HAB reduction scenarios using the calibrated 2D numerical model revealed that the blooming area and maximum concentration of the cyanobacteria in the study reach decreased drastically with an increase in inflow discharge from Gangjeong weir located upstream of the study reach. When the inflow discharge increased up to about 6 times the original level, the blooming area of cyanobacteria was almost eliminated as WRT decreased to about 37% of its original value. Furthermore, the shear velocity enhanced by the fast flow adequately suppressed the localized proliferation of the cyanobacteria along the shallow and slow flow zones in the study reach as it stimulated the lateral dispersion of water quality.</P>