Ridesplitting, as an emerging shared mobility, has gradually become one of the important travel modes for urban residents. With the spread of COVID-19, ridesplitting has been affected due to restrictions such as social distance and home office. However, few studies have analyzed the impact of COVID-19 on ridesplitting demand. This paper selects four periods before and after the pandemic as the research objects from the ridesplitting data in Ningxia of China, and compares the changes in ridesplitting demand in the four periods. On this basis, geographically and temporally weighted regression (GTWR) model has been used to explore the impact of COVID-19 on spatiotemporal factors affecting ridesplitting demand. The results show that the impact of some factors on ridesplitting demand has changed in different periods. In addition, we visualize the spatiotemporal coefficients of the model to deeply analyze the changing trends of factors affecting ridesplitting demand under the pandemic.

ridesplitting;COVID-19;Data analysis