The 22nd COTA International Conference of Transportation Professionals (CICTP 2022)

Based on the GTWR model, the factors affecting spatiotemporal characteristics of ridership in metro stations are analyzed. The temporal distance is converted into an additional spatial proportional distance with a spatiotemporal proportional factor. Taking Xi'an Metro as an example, the building area of working, medical and residential land is selected as the factor influencing the built environment, while betweenness centrality evaluates station’s importance. The results show that the epidemic reduces the overall ridership, and all factors had a greater impact during the peak hours. The ridership of working and residential land decreases most in February 2020, whose attraction has decreased to nearly 1/30. The large medical institutions around attracted 1/3 more passengers than other stations. The attraction of working land and BC was concentrated within the second ring road, and the residential land in the southern city. In conclusion, early access to it can be helpful for epidemic prevention and control.

metro; passenger flow distribution; spatial and temporal variability characteristics; land use coefficient; epidemic impact