Speaker
Description
In recent years, the escalating threats of urban public crises and natural disasters have significantly increased the risks associated with urban development. The strategic utilization of limited urban land and the meticulous planning of disaster-resistant infrastructure to achieve a "dual-use for emergency" approach are imperative for enhancing a city's resilience against natural disasters and other risks. This presents a crucial challenge in the fields of urban planning and urban renewal. China's research on disaster-resistant green spaces in urban planning has started relatively late and progressed at a measured pace. The geographical locations, historical-cultural backgrounds, economic developments, and demographic structures of Xuhui District in Shanghai and Xicheng District in Beijing exhibit distinct differences, representing two different types of core areas within Chinese megacities. This study focuses on optimizing the layout and site selection of disaster-resistant green spaces within the two districts. Utilizing existing land use, green space distribution, residential area distribution, and transportation network data, the research first employs ArcGIS tools including service area analysis, shortest path analysis, and pedestrian accessibility analysis from the perspectives of fairness and efficiency. This analysis aims to decipher the current characteristics disaster-resistant green spaces in both districts. Subsequently, based on principles of fairness and accessibility, a land suitability evaluation system for disaster-resistant green spaces is established. Recommendations for optimizing the network system of disaster-resistant green spaces in the two districts are proposed based on the results. Finally, three optimization design strategies for disaster-resistant green spaces are presented. This paper provides a data-driven approach for optimizing disaster-resistant green spaces in megacity urban renewal.
| Keywords | Disaster-resistant Infrastructure; Mega-Cities; Site Selection Optimization |
|---|---|
| Best Congress Paper Award | Yes |
