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김환용 한국BIM학회 2016 KIBIM Magazine Vol.6 No.3
Planning occurs from day-to-day, small-scale decisions to large-scale infrastructure investment decisions. For that reason, various attempts have been made to appropriately assist decision-making process and its optimization. Lately, initiation of a large amount of data, also known as big data has received great attention from diverse disciplines because of versatility and adoptability in its use and possibility to generate new information. Accordingly, implementation of big data and other information management systems, such as geographic information systems (GIS) and building information modeling (BIM) have received enough attention to establish each of its own profession and other associated activities. In this extent, this study illustrates a series of big data implementation cases that can provide a lesson to urban planning domain. In specific, case studies analyze how data was used to extract the most optimized solution and what aspects could be helpful in relation to planning decisions. Also, important notions about GIS and its application in various urban cases are examined.
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Kim Hwan Yong 한국BIM학회 2016 KIBIM Magazine Vol.6 No.3
Planning occurs from day-to-day, small-scale decisions to large-scale infrastructure investment decisions. For that reason, various attempts have been made to appropriately assist decision-making process and its optimization. Lately, initiation of a large amount of data, also known as big data has received great attention from diverse disciplines because of versatility and adoptability in its use and possibility to generate new information. Accordingly, implementation of big data and other information management systems, such as geographic information systems (GIS) and building information modeling (BIM) have received enough attention to establish each of its own profession and other associated activities. In this extent, this study illustrates a series of big data implementation cases that can provide a lesson to urban planning domain. In specific, case studies analyze how data was used to extract the most optimized solution and what aspects could be helpful in relation to planning decisions. Also, important notions about GIS and its application in various urban cases are examined.
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산업단지 개발로 인한 산림훼손 시·공간 경향 분석: 경상북도와 경상남도 사례를 중심으로
김오석 ( Oh Seok Kim ),은정 ( Jeong Eun ),이영준 ( Young-joon Lee ) 한국도시지리학회 2016 한국도시지리학회지 Vol.19 No.3
본 연구는 환경부와 한국환경정책·평가연구원이 운영하는 환경영향평가 정보지원시스템(Environmental Impact Assessment Supporting System, EIASS)에서 제공하는 지리정보체계(GIS) 데이타베이스를 비롯해 다양한 공간자료를 활용하여 2001년부터 2015년까지 환경영향평가 협의를 완료한 산업단지 계획으로 인해 훼손된 산림을 시·공간적으로 분석하였다. 분석 결과, 여의도 면적의 약 64배 에 이르는 18,684ha의 산림이 이미 훼손되었거나 훼손될 예정인 것으로 나타났다. 2009년에 협의를 완료한 산업 단지가 다른 연도의 산업단지에 비해 산림을 가장 많이 훼손하는 것으로 확인되었고, 이는 2008년 「산업단지 인·허가 절차 간소화를 위한 특례법」과 연관이 있는 것으로 보인다. 지역별로는 경상북도의 산업단지가 가장 많은 산 림을 훼손하며 그 뒤를 경상남도 등이 따른다. 또한, 경상북도의 경우는 농지에 입지하는 산업단지 수에 비해 2배 가량 많은 수의 산업단지가 산지에 입지하는 것으로 나타났으며, 경상남도의 경우는 다른 지자체에 비해 절대적으로 많은 산업단지가 개발되면서 대규모 산림훼손이 발생하는 것을 확인할 수 있었고, 두 지역의 산업단지는 연도가 지남에 따라 급경사 지역에 입지하는 경향이 두드러졌다. 육상생태계의 중심인 주요 산줄기 정상으로부터 경상북도와 경상남도는 각각 3~4km와 2~3km 떨어진 지역에 가장 많은 산업단지가 입지하였다. 국토의 약 63%가 산지에 해당되는 한국의 경우, 산림보전만을 강조하기에는 현실적으로 무리가 있으므로 전략적인 국토관리 방안 및 정책이 필요하며 이를 위해서는 개발계획의 누적 영향을 파악하는 것이 필수적이고 환경영향을 최소화하는 입지를 마련할 수 있는 효과적인 정책 수립이 요구된다. The paper illustrates recent trends of deforestation in South Korea, and only the deforestation caused by industrial complex development is considered. Multiple spatial layers are constructed and analyzed through geographic information systems (GIS), where they include spatial boundary of industrial complexes, forest- and land-cover maps, digital elevation model, and so on. The result shows that 18,684ha of forest has been lost since 2001 and is planned to be lost. The year of 2009 shows the largest forest loss; this is related to the Special Act that streamlines environmental impact assessment procedures of industrial complexes since 2008. Gyeong-buk Province has lost the largest amount of forest followed by Gyeong-nam Province. In Gyeong-buk Province, more complexes are located in mountainous regions than agricultural lands by twofold, hence resulting in more deforestation than other provinces, while in Gyeong- nam Province its massive deforestation is mainly due to hosting a large number of industrial complexes. The industrial complexes tend to consume steeper slopes as time goes by. In sum, the research outcome provides key information for developing environmental-friendly industrial complexes of the South Korea.
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공원 수목 데이터베이스를 활용한 시민 과학 기반 Mapbox 온라인 지도 시각화 및 활용 연구 - 서울숲 공원의 수종별 수목 데이터를 활용하여 -
김도은,김성환,최성우,손용훈,조경진 한국환경복원기술학회 2022 한국환경복원기술학회지 Vol.25 No.4
Since trees in the city are green assets that create a healthy environment for the city, systematic management of trees improves urban ecosystem services. The sporadic urban tree information centered on the site is vast, and it is difficult to manage the data, so efforts to increase efficiency are needed. This paper summarizes tree data inventory based on data constructed by Seoul Green Trust activists and constructs and discloses online database maps using Tableau Software. In order to verify the utilization of the map, we divided into consumer and supplier aspects to collect various opinions and reflect feedback to implement tree database maps for each area and species of Seoul Forest. As a result, the utilization value of tree database in urban parks was presented. The technical significance of this study is to systematically record the process of constructing and implementing a dashboard directly using the Mapbox platform and Tableau Software in the field of landscaping for the first time in Korea. In addition, the implications and supplements of landscape information were derived by collecting user opinions on the results. This can be used as an exploratory basis in the process of developing online-based services such as web and apps by utilizing landscaping tree information in the future. Although the visualization database currently constructed has limitations that ordinary users cannot interact in both directions because it utilizes business intelligence tools in terms of service provision it has affirmed both the database construction and its usability in web public format. In the future it is essential to investigate the assets of the trees in the city park and to build a database as a public asset of the city. The survey participants positively recognized that information is intuitively presented based on the map and responded that it is necessary to provide information on the overall urban assets such as small parks and roadside trees by using open source maps in the future.
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