Publication
Research Paper
Policy Development Framework of Architecture and Urbanism using Big Data
Cho, Youngjin Associate Research Fellow
Yu, Kwangheum Senior Research Fellow
Kim, Shinsung Assistant Research Fellow
- Basic Research 2017-2
- 2017.10.31
- 4Page
- Hit 2994
Summary
Evidence-based policy making is an approach of policy development that is effective in the field of architecture and urbanism where public interest is high, civil affairs are often generated, and policy demand is changing quickly. However, to date, there have been very few researches on this issue. In order to improve the quality of the architecture and urban policy, it is urgent to study the evidence-based policy making formulation method.
Advanced countries are actively adopting big data as a technology innovation and a new problem solving method for policy development. In Korea, there is a need to introduce big data such as public data and social data into policy development. In particular, it is necessary to develop a methodology that can diagnose and predict the demand and change of rapidly changing architecture and urbanism policies by using big data.
Advanced countries are actively adopting big data as a technology innovation and a new problem solving method for policy development. In Korea, there is a need to introduce big data such as public data and social data into policy development. In particular, it is necessary to develop a methodology that can diagnose and predict the demand and change of rapidly changing architecture and urbanism policies by using big data.
Contents
Quoting
APA
Cho, Youngjin, Yu, Kwangheum, Kim, Shinsung. (2017). Policy Development Framework of Architecture and Urbanism using Big Data. Architecture & Urban Research Institute.
MLA
Cho, Youngjin, Yu, Kwangheum, Kim, Shinsung. Policy Development Framework of Architecture and Urbanism using Big Data.Architecture & Urban Research Institute. 2017
Chicago
Cho, Youngjin, Yu, Kwangheum, Kim, Shinsung. 2017. Policy Development Framework of Architecture and Urbanism using Big Data. Architecture & Urban Research Institute.
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