| Abstract: | 本研究是有關因應氣候變遷衝擊的政策擬定與執行成效的基礎研究，研究重點由過去較著重個別政策的影響，而進一步聚焦於聯合國IPCC (Intergovernmental Panel on Climate Change)於2007年開始提出但目前仍缺乏的專業知識--政策彼此交互影 響的綜效及權衡、與個別政策的外溢共效益。本研究以學術研究為基礎，實務政策建議為目標，希望提供evidence-based的政策建議。預期對於政策之間如何搭配以達到加成的綜效，減少彼此的負面抵銷權衡作用有所助益。因此，可促進政策的實施的經濟效率，減少社會因氣候變遷所造成的負面影響，並於國際發表三篇期刊論文。
Regarding the effectiveness of policy-making and implementation on responding to climate change impacts, the United Nations IPCC (Intergovernmental Panel on Climate Change) first incorporated the concepts of synergy and tradeoffs from interactions between multiple policies, and positive spillover effects from individual policy in 2007. However, past research focused more on the influences of an individual policy. Analysis of synergy, tradeoffs, and co-benefits of crossinstitution policies are limited, and it is even rarer in the sub-field of land use and planning. Based on the gaps of research theories and methods, the availability of empirical research data, and the guidance from the Science Plan - Theme 4: “The effectiveness of urban responses to environmental changes”, the research purposes of this study includes: (1) exploring current multi-spatial policy tools responding to climate change mitigation and adaptation in the field of transportation and land use planning; (2) synthesizing synergy, tradeoffs, and benefits between climate change related policies and SDGs through literature review; (3) developing empirical analysis on the synergy, tradeoffs and cobenefits between core spatial policies (building coverage ratio, set back, and TOD) that could be implemented for climate change mitigation and adaptation. The resulted work involves two empirical studies and one stakeholder analysis, the former aim to evaluate the impacts of mitigation and adaptation spatial planning for “street open spaces,” composed of the sidewalk and building setback, or even released roadside parking space. The main analytical methods include narrative statistics (including MANOVA), spatial analysis, and multivariate analysis— interaction terms, land use regression, and stakeholder analysis. The analysis tools include ArcGIS, SPSS, and Stata. Expected results include 3 international journal articles and policy recommendations derived from empirical research, and discussions with the public sector to achieve shared results (Co-deliver). |
