Improving the optimization of the urban passenger transport timetable for regular communication by substantiating the ranking of duplicate sections

A methodology has been developed for determining weight coefficients for ranking duplicate sections of routes when optimizing the schedule of regular urban passenger transport. Based on data from 20 settlements, a multinomial logit model has been constructed that predicts the optimal range of weighting coefficient values based on normalized indicators of population density and route network density. A comparison of four schedule optimization strategies showed that the use of the proposed methodology reduces the average waiting time for passengers at stops by 1,7%, which is equivalent to savings of 9,5 million currency units per year for the 20 cities considered.