The integration of bike-sharing and metro systems is a key form of multimodal public transport (MPT), vital for alleviating urban traffic congestion. However, as bike-sharing operates in the external environment, it is susceptible to the impacts of the urban built environment and abnormal weather conditions. This study aims to identify the built environment characteristics that influence the resilience of this transfer system during abnormal weather. We established a spatial weight matrix and calculated the Global and Local Moran's I for the “bike-metro variation rate” (BMVR) to explore the spatial correlation of MPT trips among different traffic analysis zones (TAZs). Subsequently, a spatial Durbin model (SDM) was developed to analyze the impact of the urban built environment on MPT transfers under abnormal weather and to determine the spatial spillover effects between the built environments of TAZs. The research findings indicate that: (1) The impact of the urban built environment on BMVR exhibits a positive spatial correlation under abnormal weather. (2) Several built environment variables significantly influence transportation resilience. Specifically, a higher share of the commuting population and a greater density of public service facilities enhance system resilience by mitigating the decline in transfer volumes, whereas higher intersection density exacerbates the impact and reduces resilience. (3) Built environment variables also generate significant spatial spillover effects, revealing that transportation resilience is an area-wide phenomenon influenced by neighboring environments. The results of this study offer targeted guidance for urban planners aiming to build a more robust MPT system capable of withstanding weather-related shocks through the optimization of local built environments.
Wang et al. (Sun,) studied this question.