Public Passenger Transport Logistics in the Context of Digital Transformation of Transportation Services Organisation Systems

Transport route specification models are used to analyse the need for combined passenger transportation on popular routes in a large urban agglomeration. The problem of managing the travel chains of passengers using public transport (PT) is revealed with the focus on the complexity of applying the principle of multimodality on the route network used by population due to the mismatch of the schemes of transport and users’ routes.The study of the logistics of passenger transportation with PT introduces the concept of «public transport user (PTU)» which has a variable status relative to the flows of people, pedestrians, passengers, and transport vehicles. The description of the registers of the main parameters of the routes under study serves to create their digital twins.To manage the travel chains of PTUs, identify related sections of transport routes, it is proposed to highlight within the passenger flow the currents of the same profile which include PTUs that have common transport behaviour.Models and algorithms of network proximity to transport infrastructure objects, visualisation of digital traces of PTUs and the results of comparing the used and the best route options according to the modelled parameters allow to identify behavioural profiles of PTUs, as well as regulators managing the travel chains.

Approbation of the methodology for determining the time of passenger movement on the inner-city and suburban route

Presents the results of testing the methodology for determining the passenger's travel time according to the "door-to-door" scheme on intra-city and suburban routes using hovercrafts. The introduction presents the results of the analysis of a number of research works of domestic and foreign scientists in the field of passenger transportation by hovercraft. The analysis showed that studies of passenger travel taking into account such factors as distance and time according to the "door-to-door" scheme on intra-city and suburban routes in riverine regions by buses and hovercraft do not occur, which means that the chosen research topic is relevant. The methods section summarizes the basics of calculations and initial data for testing the methodology for determining the time spent by passengers on a trip using a hovercraft. The results section provides graphical data as a result of testing the methodology. The opinion of the authors of the article on the use of alternative travel options by a passenger on intra-city and suburban routes by road and (or) river transport is put up for discussion. In the final part of the article, it is determined that this method of determining the travel time of a passenger on intra-city, and in comparison, may be of interest both for passengers and transport organizations.

Studying the regularities in public transport vehicle dwell time required for passenger boarding and deboarding

The review of the literature devoted to the research of public transport vehicle (PTV) dwell time required for passenger boarding-deboarding at a stop confirms the importance of taking this time into account when modelling passenger transportation. The data about the dwell time were collected in different time periods for different PTVs in various cities and countries. Thus, there is no general model allowing to define the distribution parameters of dwell time variable and answer the question on the regularities in time values. So, the research of the PTV dwell time at the public transport stops in Kharkiv remains actual. Goal. The search of the regularities in transport system performance indicators including PTV dwell time at a stop will allow to apply relevant mathematical methods for the development of the forecast models which are valuable in the field of organization of passenger transportation and servicing. Methodology. The developed methodology to collect data about PTV dwell time at the stops will allow receiving high-quality survey data. The designed survey sheets enable a surveyor to record all needed information and prepare it for processing. The collected data will allow to define the distribution of the PTV dwell time at a stop. Results. The conducted PTV dwell time survey allowed to collect the sufficient amount of data to estimate the distribution of this variable. During the research, it was determined that the empirical dwell time distribution can be well described with the theoretical gamma distribution. The latter distribution appeared to be applicable for all surveyed PTVs. Originality. The defined distribution of the PTV dwell time at a stop for passenger boarding-deboarding allows receiving the results of passenger flows modelling which are more precise compared to the modelling with no dwell time consideration. The use of the dwell time regularities in the procedure of passenger flows assignment results in the increased precision of flow volumes estimation by up to 14.9 % – from 2.28 % to 1.94 %. Practical value. The received results support the fact that the research of PTV dwell time at a stop is actual, and the solution of the task of dwell time distribution estimation will make it possible to improve passenger flows modelling in public transport route systems.

Traditional and Developing Segments of the Sharing Economy from the Point of View of Customers

The sharing economy represents a phenomenon which is increasing in importance as time goes by, even from the point of view of less developed countries. The aim of the study is to evaluate the knowledge of traditional and developing segments of the sharing economy and their platforms and to analyse and evaluate the level of their use employing the example of customers (the younger and the older generation) in one of the post-communist countries – the Czech Republic. Data was collected on the basis of a questionnaire survey (N=614). This was processed using descriptive statistics tools. The study shows that respondents are the most familiar with forms of sharing not only from traditional segments (passenger transportation and accommodation) but also from the financial segment. The best-known platforms include Uber, Airbnb and Zonky. Platforms from traditional segments are used the most. The younger generation has better awareness, both about possible forms of sharing and also about the existing platforms. However, the study did not prove any differences in the level of use of platforms between the younger and older generation.