SERVICE REGULARITY EVALUATION ON TRANSIT ROUTES
Abstract
Paper considered issues of public transit service regularity evaluation. Survey results of the headway variation data processing defined, its change approximated by the normal (Gaussian) distribution. It was found that transit routes with low frequency characterized by higher irregularity, which can be access by standard deviation of actual value from its scheduled one. This relationship is formalized using linear regression equation. Statistical evaluation of the developed model has allowed to make a conclusion about its adequacy. It was noted that the introduction of supervisory systems on transit routes with low frequency will lead to a higher reduction of passenger’s waiting time than on routes with short headways.
Keywords: service regularity, headway, headway’s standard deviation from its scheduled value, waiting time.
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