Effect of shopping complex openings on nearby railway station revenue

Abstract

Railway operators’ revenue from passenger transport fluctuates in accordance with various factors. However, the impact of those factors on the fluctuation is unclear. Therefore, we try to quantify such effect, focusing on the impact of opening and renewal of shopping complexes near the station. For this purpose, “Causal Impact,” a time series causal inference method, is applied to aggregated revenue data. As a result of some case studies for some stations, it is suggested that opening of shopping complexes can contribute to the increase in nearby railway station revenue.