• Title/Summary/Keyword: Planning Supp

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Environmental Conservation and Sustainable Pusan Development Strategy (환경보전과 지속가능한 부산의 도시개발방안)

  • Hwang, Young-Woo;Song, Kyo-Ook;Yhang, Wii-Joo
    • Journal of Environmental Science International
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    • v.6 no.3
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    • pp.195-203
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    • 1997
  • Pusan has experienced some different paths of urbanization and industrialization compared to other cities. and has faced the problem of over-saturation In enoronmental capacity. Pusan needs to fond out sustainable development strategies based on Agenda 21 by UNCED In 1992 to secure urban renewal. Therefore. Pusan's sustainable development strategies focus on the 1)research on envlronmental capacity and reasonable population accommodation 2)supp1y of basic enoronmental facilities for the human settlement 3)protection and efficient management of environmental pollution 4)saving and control of energy and other resources S)independent and stable euecution of plan based on biological relation 6)harmony between nature and urban spatial organization. In addition. these policies can be suggested along with the conclusions; First, ostablishment of green plan-muddle and long term environmental goals Included In the urban planning to reduce enoronmental deterioration and pollution. Second, computation of sustalnability Indeu the Index Is necessary to sustainable urban development, which is related with green GNP of the national level. Third, capacity estimation of nature and social environment-estimation of enoronmental capacity to the civilized area is required become an ecopolis, and is required to focus on the western area of Pusan which has high decree of potentiality.

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Development and Application of Dynamic Visualization Model for Spatial Big Data (공간 빅데이터를 위한 동태적 시각화 모형의 개발과 적용)

  • KIM, Dong-han;KIM, David
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.1
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    • pp.57-70
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    • 2018
  • The advancement and the spread of information and communication technology (ICT) changes the way we live and act. Computer and ICT devices become smaller and invisible, and they are now virtually everywhere in the world. Many socio-economic activities are now subject to the use of computer and ICT devices although we don't really recognize it. Various socio economic activities supported by digital devices leave digital records, and a myriad of these records becomes what we call'big data'. Big data differ from conventional data we have collected and managed in that it holds more detailed information of socio-economic activities. Thus, they offer not only new insight for our society and but also new opportunity for policy analysis. However, the use of big data requires development of new methods and tools as well as consideration of institutional issues such as privacy. The goals of this research are twofold. Firstly, it aims to understand the opportunities and challenges of using big data for planning support. Big data indeed is a big sum of microscopic and dynamic data, and this challenges conventional analytical methods and planning support tools. Secondly, it seeks to suggest ways of visualizing such spatial big data for planning support. In this regards, this study attempts to develop a dynamic visualization model and conducts an experimental case study with mobile phone big data for the Jeju island. Since the off-the-shelf commercial software for the analysis of spatial big data is not yet commonly available, the roles of open source software and computer programming are important. This research presents a pilot model of dynamic visualization for spatial big data, as well as results from them. Then, the study concludes with future studies and implications to promote the use of spatial big data in urban planning field.