Open AccessPassenger trips analysis determined by processing validation data of the electronic tickets in public transport
Author(s) -
А. И. Фадеев,
S. Alhusseini
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1061/1/012001
Subject(s) - trips architecture , transfer (computing) , transport engineering , ticket , public transport , work (physics) , identification (biology) , computer science , advertising , operations research , business , engineering , computer security , mechanical engineering , biology , botany , parallel computing
Based on the set of trip-legs obtained by the algorithm described in our earlier work-trip-legs were sorted by their start or end time for each ticket- we managed to identify the set of passenger correspondence which consists of one or several trip-leg based on the analysis of the transfer conditions. Advanced and in-depth study of passenger correspondence is pivotal for solving transport-planning tasks and avoiding any mistake happened at some point at trip identification. In this work, we will process two matters: distribution transfers by time and identify short activities trips. This work shows that for a two-hour period of free transfer, the share of free trips will be about 17% of the total number of trips. In details, 12% of passengers per day will take one free trip and the share of passengers who will perform two or more free transfers is about 5% of trips. For a one-hour free transfer period the share of free transfer will be about 10%. Passengers with one free transfer will make about 8% of trips. Also, after identifying the short activities trips and dividing these trips into separate trips, the share of trip without transfer increased by 7%. The transfer factor decreased by 0.04.