Abstract
AbstractMass rapid transit or metro rail systems have an edge over other public transportation systems because of their reliability, comfort, and safety offered to passengers. This paper presents a statistical analysis of ridership of Bengaluru Metro rail (BM), which in March 2018 had two lines, 40 stations, and an overall length of 42.3 km. The daily and hourly temporal variations in ridership are analyzed. Spatial distribution of ridership is studied to understand weekday and weekend trip patterns. Three influencing factors—(i) availability of parking at metro stations, (ii) the presence of transport hubs nearby metro stations, (iii) distance to the nearest intra-city bus stop from metro station are considered. Their effect on footfall at stations is studied with the help of a panel data model. Further, a procedure to estimate savings in emissions due to the metro rides is described. Estimated savings in CO, HC, NOx emissions are 5.19, 0.54, and 0.66 tons per day, respectively.KeywordsTransit ridershipParkingPanel data modelEmissions
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