The Effects Of Public Transit Fares On Travel Behavior Of Passengers-A Case Study Of London

London Underground,better known as the Tube,has 11 lines covering 402 km and serving270 stations.The Tube handles up to five million passenger journeys a day.At peak times,there are more than 543 trains whizzing around the Capital.Congestion pricing system is implemented in London Underground since 2003.This study investigates the behavior of passengers depending on peak and off-peak fares such as how it affects the passenger travel behavior in different zones of London.The main purpose of this study is evaluating the travel behavior of passengers whether they skip the peak hours to save their money or not.There have been two methods used in this study i.e.Discontinuity Regression Design and Interrupted Regression Analysis to get the desired results.An extensive series of simulation were performed to investigate the impact of peak hours pricing on the travel behavior of passengers in London public transit system.The simulations analysis provided sufficient results for finding the impact of peak hours pricing on the travel behavior of passengers in London public transit system.The regression discontinuity does not have a significance interrupted variable due to lack of fit but on the other hand,the interrupted regression uses the bootstrapping method to estimates a resampling model till robustness is observed.Hence,Interrupted Regression Analysis have more efficient results.Commuters do not tend to skip morning peak hours because of their professional or educational commitments due to their permanent schedule but they more likely avoid the PM peak hours and adjust their schedule so they can skip peak hours to save their money.