• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.195-197
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• 2014

부산 광안리 일대는 해수욕장과 광안대교 그리고 불꽃축제와 해양레저센터 등을 두루 갖춘 국제적인 관광명소이다. 특히 김해국제공항으로부터 부산에 진입하는 경우 공항에서 연결된 자동차 전용도로가 광안대교에 연결되어 있기 때문에 외지에서 볼 때, 가장먼저 부산의 바다를 보게 되는 장소이기도 하다. 따라서 광안리 도시공간은 바다와 내륙의 관광명소가 어우러진다는 부산의 정체성을 잘 보여주는 장소로서 그 의미가 더욱 크다. 그러나 광안리 도시공간이 국제적인 명소로 확고하게 정착되기 위해서는 보완해야 할 공공디자인적 요소들이 있다. 그것은 도시공간의 결절점과 확장성, 광안리를 향한 보행자의 접근로, 해변공간의 구조, 건축물들의 파사드와 같은 것들이다. 본 연구는 이러한 요소들을 정리하고 분석하여 광안리 도시공간의 업그레이드를 위한 방향을 제시하고자 한다. 이를 통하여 부산의 대표적인 관광명소인 광안리와 그 일대의 도시공간이 향후 세계적인 규모의 행사 수용은 물론 장기적인 발전이 가능해지는 초석이 될 것이다.

• 한국지형공간정보학회:학술대회논문집
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• 2002.03a
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• pp.66-73
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• 2002

본 논문은 미국 Oregon 지역을 실험지역으로 하여 LiDAR자료를 이용하여 연안해역 관리 및 해안지역의 각종 분석자료의 기초데이터로 활용하는 방안을 도출하고자 한다. 실험지역은 미국 Oregon주의 남쪽해안에 위치하고 있는 해안지역이며, 해안선이 완만하게 형성이 되어 있다. 본 실험에 이용된 LiDAR 자료는 97년 10월과 98년 4월 2회에 걸쳐 NASA의 ATM(Airbone Topographic Mapper) II를 이용하여 측량을 실시하였다. 연도별로 취득된 해변지역의 표고값을 근거로 하여 연도별 해변의 단면 변화량을 산출하였다. 본 연구를 통하여 연구지역인 미국 Oregon 해변지형의 표고변화는 연도별로 약 0.79m/year 정도 변화가 발생하였다. 또한 국내에서 해안선 측량시 이용가능성 및 해안선 변화 모니터링, 해변 위험지역 및 침식량 산정 등 다양한 분야의 활용가능성을 제시하였다.

• 어항어장
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• s.67
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• pp.32-36
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• 2004

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.461-464
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• 2008

연안에서의 태풍 해일에 의한 침수범람 지역 예측을 위하여 GIS를 통한 정밀 육도-해도 접합 및 분석을 만리포 해변을 대상으로 시범 수행하였다. 만리포 해변의 정밀 육도-해도 접합을 위하여 고해상도 지상 LIDAR 시스템의 시범 측량 자료와 국토지리정보원의 수치지형도, 국립해양조사원의 수치해도 수심자료 및 한국 주변해역의 30초격자 수심자료를 사용하였다. 또한 평균해수면 산정을 위하여 만리포에 설치된 수압식파고계 조위자료와 해변의 표척을 통한 목측 관측을 통한 조위자료를 활용하였다. 다양한 자료의 GIS 기반 육도-해도 접합 및 분석을 통한 정밀 지형도 구축 기술은 태풍 해일에 의한 침수범람 예측을 위한 정밀 격자 수치모델의 입력 자료로 활용되어 침수 범람 예측 결과의 재해도(Hazard Map) 작성이 가능하고, 나아가 침식 퇴적 등의 지속적인 해안선 변화 모니터링에 활용될 수 있다.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.4
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• pp.90-103
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• 2012

Mallipo is a representative beach contaminated by Hebei Spirit oil spill accident in December 2007. This study aims to compare the differences of two seasons (winter and summer) for the spatio-temporal variation patterns of oiling status in the whole area and divided five regions of Mallipo beach. In the whole area, the decreasing rate of average TPH (total petroleum hydrocarbon) in winter was twice greater than summer during four years. According to the spatial variation pattern analysis of oiling status using weighted mean center and weighted standard distance, the oil concentration was clustered on southwestern region in winter, however, the TPH was dispersed in the whole area in summer. Temporal variation pattern of TPH in each of Mallipo's five regions showed that TPH had been consistently decreased in winter, but oil concentration had not been changed in summer since 2009 except the southwestern region. Therefore, in order to evaluate and predict the progress of oiling status, it is needed to analyze the spatio-temporal variation pattern of TPH using spatial analysis after separating data into seasons (e.g., winter and summer). In addition, time series analysis is useful in the regional scales through spatial partitioning rather than the whole beach area for the understanding of temporal variation pattern.

• Journal of Environmental Impact Assessment
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• v.29 no.2
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• pp.122-131
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• 2020

Marine Spatial Planning is an emerging strategy that promoting sustainable development at coastal and marine areas based on the concept of ecosystem services. Regarding its methodology, usage rate of resources and its impact should be considered in the process of spatial planning. Particularly, considering the rapid increase of coastal tourism, visitation pattern is required to be identified across coastal areas. However, actions to quantify visitation pattern have been limited due to its required high cost and labor for conducting extensive field-study. In this regard, this study aimed to pose the usage of social big data in Marine Spatial Planning to identify spatial visitation density and critical management zone throughout coastal areas. We suggested the usage of GPS information from Flickr and Twitter, and evaluated the critical management zone by applying spatial statistics and density analysis. This study's results clearly showed the coastal areas having relatively high visitors in the southern sea of South Korea. Applied Flickr and Twitter information showed high correlation with field data, when proxy excluding over-estimation was applied and appropriate grid-scale was identified in assessment approach. Overall, this study offers insights to use social big data in Marine Spatial Planning for reflecting size and usage rate of coastal tourism, which can be used to designate conservation area and critical zones forintensive management to promote constant supply of cultural services.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.453-466
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• 2024

To improve the monitoring of Coastal Debris in the South Korea, which is difficult to estimate due to limited resources and vertex-based surveys, an approach based on UAV(Unmanned Aerial Vehicle) images and the RT-DETR(Realtime DEtection TRansformer) model was proposed for detecting Coastal Debris. By comparing to field investigation, the study suggested the possibility of quantitatively detecting coastal garbage and estimating the total capacity of garbage deposited on the natural coastline of the South Korea. The RT-DETR model achieved an accuracy of 0.894 for mAP@0.5 and 0.693 for mAP@0.5:0.95 in training. When applied to unmanaged coasts, the accuracy for the total number of coastal debris items was 72.9%. It is anticipated that if guidelines for defining monitoring of unmanaged coasts are established alongside this research, it should be possible to estimate the total capacity of the deposited coastal debris in the South Korea.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.658-665
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• 2019

In the era of the rapid development of a tremendous number of new technologies and products, the emotional communication between products and users has become an important research topic. However, the user's emotional measurement methods have not been widely used in the field of product design. Besides, as an important space that can improve people's life quality and urban entertainment at the emotional level, seaside space also creates an atmosphere of frequent emotional communication among tourists, landscape and environmental facilities. To deduce the applicability and advantages and disadvantages of the experiential emotional measurement method in product design, this paper took the seaside seat users of Haeundae as the object and carried out the Self-report of the experiential emotional measurement method. Specifically, the experiment of Self-report was divided into two stages: prior survey and subsequent main investigation. Then the hypothesis was verified by using Bivariate Regression and Multiple Regression through SPSS. Furthermore, through the experiment of the Self-report, the applicability and advantages and disadvantages of experiential emotional measurement method in product design were derived. In the future, based on the applicability, advantages and disadvantages of the experiential emotional measurement method derived in this study, it is expected to become the fundamental and reliable data for the development of emotional measurement methods that can be suitable for product design.

• Journal of the Korean Regional Science Association
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• v.34 no.4
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• pp.19-34
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• 2018

The purpose of this study is to analyze the seasonal issues using the local newspaper articles with the keyword beach from 2004 to 2017. Topic modeling and Time series regression analysis based on open source programs were performed for analysis. Topic modeling results showed 35 topics in spring, 47 topics in summer, 36 topics in autumn and 35 topics in winter. The common themes were 'beaches', 'festivals and events', 'accident and environmental issues', 'tourism', 'development and sale', 'administration and policy' and 'weather'. Time series regression analysis showed in the spring, 5 Hot-Topics and 2 Cold-Topic were found out of the 35 topics. In the summer, 6 Hot-Topics and 3 Cold-Topic were found out of the 47 topics. In the autumn, 4 Hot-Topics and 3 Cold-Topic were found out of the 36 topics. In the winter, 3 Hot-Topics and 3 Cold-Topic were found out of the 35 topics. And for each season, topics that do not fall into the Hot-Topic and Cold-Topic are classified as Neutral-Topic. In this study if seasonal uses are different such as beaches are deemed that seasonal topic modeling for analysis of regional issues will yield more useful results and enable detailed diagnosis.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.281-283
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• 2018

국제 무역항과 어패류 공동어시장 등이 관광지와 어울려 국제적인 명성을 가지고 있는 해양도시 부산은 낙동강과 바다가 만나는 도심 속에서 수상관광을 하기에 매우 좋은 자연환경과 지리적 조건을 갖추고 있다. 이러한 해양 인프라를 기반으로 친수 네크워크 개념을 도입한다면 40여개의 무인도서와 더불어 육상 해변 해상 해중공간을 입체적으로 연계해주는 바다뱃길을 구축할 수 있을 것이다.