Traffic Volumes as a Modal Split Parameter

Abstract

Traffic volume depends on several indicators. The most important are the degree of motorization, mobility, and especially the travel time and travel cost factor. The article presents an analysis of the possibility of using mobility surveys and traffic counts to achieve a balance between supply and demand. The frequency of congested traffic and over-capacity volumes are determined. By analyzing the trip information captured in the mobility surveys, we detected the strata causing the highest demand—economically active people with “job” as the purpose of their trip. The study area includes the Kysuce region and the city of Žilina in Slovakia. Three scenarios are processed in the article. Scenario 0 defines the current state, scenario 1 defines the situation with free-of-charge public transport, and scenario 2 represents a targeted modal split where saturation is not exceeded. The aim is to shift passengers to public transport and increase the share of public transport in the modal split. Scenario 2 is also presented in terms of saved emissions as an additional factor of relocating passengers from private to public transport. In terms of fare, we found a small change in the modal split with free-of-charge public transport.

Analysis of Modal Split of Intra-urban Trips in a Centenary City: A Case Study of Enugu, Nigeria

“…This is a confirmation that modal split can differ among cities because of the peculiarity of determinant factors (such as religion in Enugu city). The outcome of this study is competitive in accuracy with the discrete choice models (Al-Salh & Esztergas-Kiss, 2021; Drliciak et al, 2020;Novacˇko et al, 2020;Obaid & Hamad, 2020;Rasaizadi & Askari, 2020). This supports the discussions in the theory and methodology sections of this study, which indicate that the discriminant analysis (a probabilistic model) is a robust model for estimating the modal split of intra urban trips.…”

“…Most of the plethora of studies on the modal split of intra urban trips found in the literature focused on Europe, America and Southeast Asia with little emphasis on Africa. These studies (such as Bucsky, 2020; Chen et al, 2015; Drliciak et al, 2020; Guerra & Li, 2021; Novačko et al, 2020; Li et al, 2021; Mendiola & Gonzalez, 2021; Shukla, 2019) explains the modal split of intra urban trips and its causal factors. The outcome of most of these studies show private transport as a popular mode used for intra urban trips in their respective cities.…”

Concentration and inorganic elemental analysis of particulate matter in a road tunnel environment (Žilina, Slovakia): Contribution of non-exhaust sources

“…Road traffic is characterized by basic parameters such as traffic volume (the proportion of trucks), density, and speed of traffic flow (Cingel et al, 2019;Drliciak et al, 2020). In the tunnel tube where the PM measurements were performed, the traffic volume was recorded as 2,280 veh/24 h on average, and in the other tunnel tube, it was 2,428 veh/24 h on average.…”

Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility

“…These outputs can be used to analyse the existing communication network, evaluate the alternative solutions, evaluate the impacts and influences on the surrounding transport network or the environment, analyse traffic service, etc. For example, [30] deals with the issue of optimal distribution of passengers between individual car transport and public transport using macrosimulation models created in the PTV VISUM program and focuses on the area of Kysuce and the city Žilina in Slovakia. The same authors also deal with the analysis of transport in the town of Martin [31].…”