| Title |
Assessing Climate Change Risk and Adaptation Policy Improvements through Text-mining |
| Authors |
강영은(Kang, Youngeun) ; 신지영(Shin, Jiyoung) ; 박창석(Park, Chang Sug) |
| Keywords |
기후변화 ; 리스크 평가 ; 적응대책 ; 텍스트마이닝, Climate Change ; Risk Assessment ; Adaptation Policy ; Text-Mining |
| Abstract |
Climate change adaptation plans and related studies have played a major role in reducing the risks of climate change. The studies, associated with climate change in particular, assess and predict the long run influence of climate change risk on society, the economy, and the environment in the long run, due to its extensive impact and uncertainty. This study evaluates the consequences and probability of climate change risk based on 4,150 newspapers articles after the 1990s related to climate change impact through text-mining. This study revealed that the climate drivers causing high recorded climate change risks include typhoons, heavy rains, and others. In addition, risk consequence categories were focused on casualties, damages to infrastructure and agricultural land. The percentage of risk overlapping between this study and the previous studies was 42.4%. The risks, that did not overlap, illustrate that this study has a tendency to focus on direct rather than indirect risks like social group vulnerability, social disparities, and so on. This study’s originality is illustrated through its supplementary concrete evidence for climate change risk assessment. From this step forward, climate change adaptation plans have to reflect not only the result of observed climate change risks like those identified in this study but also experts’ survey based risk for minimizinguncertainty. |