In 2022, Ukraine is suffering an invasion which has resulted in acute impacts playing out over time and geography. This paper examines the impact of the ongoing disruption on traffic behavior using analytics as well as zonal-based network models. The methodology is a data-driven approach that utilizes obtained travel-time conditions within an evolutionary algorithm framework which infers origin–destination demand values in an automated process based on traffic assignment. Because of the automation of the implementation, numerous daily models can be approximated for multiple cities. The novelty of this paper versus the previously published core methodology includes an analysis to ensure the obtained data is appropriate, since some data sources were disabled because of the ongoing disruption. Further novelty includes a direct linkage of the analysis to the timeline of disruptions to examine the interaction in a new way. Finally, specific network metrics are identified which are particularly suited for conceptualizing the impact of conflict disruptions on traffic network conditions. The ultimate aim is to establish processes, concepts, and analysis to advance the broader activity of rapidly quantifying the traffic impacts of conflict scenarios.
Current conditions for ensuring the implementation of urban mobility plans require high-quality functioning of urban passenger transport systems considering the minimising travel time and increasing travel comfort, as these factors affect passenger fatigue and their productivity during the working day. The study of changes indicators of the public transport system functioning from the gravity function is carried out in this paper, and the results of these studies are given. Based on the surveys of Lviv residents, the distribution of trips by public transport, private transport and taxis was carried out. It is determined that most often city residents use public transport (the share of such trips is 67% of all movements made by transport). An approach has been developed to determine the number of public transport vehicles depending on their capacity through the total number of passenger seats taking into account this distribution. This approach allows determining the required number of vehicles on the route and using different vehicles by their capacity depending on the passenger flow on the route to ensure the comfort of the trip. Based on this, the analysis of the change in the total number of passenger seats from the indicator of the gravity function for vehicles of different capacities is carried out. In addition, an analysis of the regularities of changes in the number of passenger seats for different by capacity vehicles is carried out, and mathematical models of these regularities are developed. It is determined that at low values of indicator of the gravity function, there is a need for large capacity vehicles, while with the increase in this indicator, the demand for small and medium capacity vehicles increases from 34% to 52%. The developed mathematical models can be used for practical justification of the required number of vehicles on the route, taking into account their capacity to ensure the comfortable movement of passengers on the routes of urban passenger transport.
Due to the active popularization of sustainable urban mobility principles, there is an increase in the share of bicycle traffic in the overall modal split. The pedestrians are getting used to the fact that the cyclist is a full member of the traffic and has his/her own separate space. The concequence of this is cyclist and pedestrian flows conflicts.The article analyses the results of field research of cycling and pedestrian traffic volume. The permissible number of conflicts between them is defined, which makes it possible to understand the principles of combination or separation of flows in space. Based on the results obtained, recommendations for the design and arrangement of cycling and pedestrian infrastructure are provided.
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