Robustness Evaluation of Metro-Led Underground Space Based on Complex Networks: A Case Study in Shanghai

Metro-led underground space (MUS) plays a crucial role in urban underground utilization. Extensive engineering cases have shown that optimizing the disaster resistance ability of MUS has practical significance. However, current research mostly focused on qualitative exploration from the perspective of structural disaster prevention, which proposed the strategies typically targeting the interior of single buildings, lacking coupling to the surrounding space. In order to fill the gap, this study models the MUS into a topological network, measures the robustness of MUS, formulates a MUS robustness evaluation model, and selects two disturbance modes namely random attack and deliberate attack. Then this study sets People's Square Station and Wujiaochang Station in Shanghai, China as cases, computes the classic indexes, analyzes the performance of each case, and summarizes the layout indications.