Hosted by the Program on Chinese Cities （PCC）
09/26/2024 3:00 PM-4:00 PM EST
Presenter: Ziang Xie
PhD Candidate, College of Architecture and Urban Planning, Tongji University
Supervisor: Prof. Shenzhi Dai
Visiting scholar, University of North Carolina at Chapel Hill
Supervisor: Prof. Yan Song
Abstract:
The reasonable planning and construction scale of disaster emergency shelters is crucial for improving post-disaster emergency resettlement efficiency and enhancing urban resilience. Through discussions with local governments and frontline planners, we found that due to the lack of clear planning standards, there are many issues with the current shelter location-allocation (LA) process, and the conflict between shelter demand and supply urgently needs optimization. In response, this study constructs a bi-level multi-objective LA model based on sequential decision logic. The model aims to optimize accessibility, economy, and efficiency, comprehensively considering factors such as government decision-making, shelter utilization rates, and capacity constraints. The gravity model is used to simulate evacuees’ decision-making behaviors. This study employs the simulated annealing algorithm to solve the model, and practice has proven that the model can achieve global optimization of shelter layout and maximize utilization efficiency under financial constraints. In this presentation, I hope to discuss the issue of optimizing the allocation of urban public service facilities with everyone. Additionally, as an engineering graduate student, I often face the challenge of balancing horizontal project tasks with personal research pressure. Given the limited time in my studies, how to leverage project resources into diverse research outcomes is a balance point and optimal solution I have long sought to explore. I look forward to sharing some of my personal insights during this process with all of you.