An Analysis of Metro Ridership at the Station-to-Station Level in Seoul

This study investigates the factors affecting metro ridership in the Seoul metropolitan area at the station-to-station level. This approach made it possible to distinguish the effect of origin factors from that of destination factors on metro ridership. It also reduces errors caused by the aggregation of travel impedance-related variables. A multiplicative model for direct-demand patronage forecasting was found to be better than a Poisson regression model due to its ability to clearly identify the negative influences of competing modes on metro ridership. Built environment variables for origin and destination stations were separated and ridership was differentiated by time of day in order to examine the importance of the built environment in explaining metro demand. Results showed that the population-related variables of the origin stations played an important role in accounting for metro ridership for morning peak hours, while employment-related variables were important in destination stations. Both employment- and population-related variables were significant in accounting for Metro ridership at the destination station for evening peak hours, confirming that many people in the Seoul metropolitan area appear to take various non-home-based trips after work. Travel time and intermodal connectivity were also influential factors on Metro ridership.


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  • Accession Number: 01446379
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 18 2012 8:53AM