Elasticity of Demand in Urban Traffic Case Study: City of Rijeka

Pupavac, Drago; Maršanić, Robert; Krpan, Ljudevit

doi:10.3311/pptr.11750

Cited by 3 publications

(3 citation statements)

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“…Theoretical and practical aspects of the elasticity of demand for urban transport are studied in the article (Pupavac et al, 2020) on the example of the city of Rijeka, which shows the change in the required volume of transport services in urban traffic. As a result, there is a change in overall demand for transport services or the transfer of various entities.…”

Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Modeling of Passenger Flows in Agglomerations of Large Developing Cities (on the Example of Kyiv)

Prusov,

Dubova

2023

Period. Polytech. Transp. Eng.

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Based on the analysis of the fundamental impact of transport infrastructure, the city and the agglomeration are increasingly interpreted as a set of historically composed residential and industrial districts formed in the areas of interchanges of different modes of transport. On the example of the City of Kyiv, the modeling of passenger flows in agglomerations of large developing cities is considered, in order to implement the provisions of a modern urban environment, based on transport analysis of the urban area, with further forecasting of passenger flows on the street-road network and choice of main types of citywide passenger transport in the city. Based on the calculation of the population and passenger formation of transport areas, a model of the city's transport infrastructure is represented, the distribution of passenger traffic by modes of transport is estimated. The results of experimental studies of the intensity of existing passenger flows and models of their definition in the agglomeration of the most valuable city are determined. And the ways to solve the problems of conflict between the city and transport are proposed.

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Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Modeling of Passenger Flows in Agglomerations of Large Developing Cities (on the Example of Kyiv)

Prusov,

Dubova

2023

Period. Polytech. Transp. Eng.

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“…Many researchers have proven that the effect of different modes of public transportation should be taken into consideration [37][38][39][40][41]. In the case of public transportation networks, it is important to distinguish between international and local networks.…”

Section: Model Developmentmentioning

confidence: 99%

Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars – Hungarian Experience

Sipos

Szabó

Török

2021

PROMET

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The role of cross-border commuting needs is remarkable, given that large cross-border cities tend to have high traffic attractiveness. Thus, agglomeration effects are strongly prevalent in populous settlements close to the border. This is due to the fact that both Hungary and the neighboring countries are burdened by spatial inequalities; therefore, the traffic at the individual border crossing points is unbalanced. Our aim is to show the extent to which the introduction of certain public transport modes contributes to the reduction of cross-border passenger car traffic. In order to do this, we have to set up a spatial econometric model that can simultaneously handle the parallel public transport infrastructure, the cross-border attractiveness of border cities, and the impact of spatial inequalities. The results of the research shed light on how the introduction of each means of transport contributes to increasing the competitiveness of border regions. This will demonstrate the effectiveness of policy tools that can improve the competitiveness of a given macroregion.

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“…Along with this, urbanization is expected to increase [1,2]. Cycling is one of the fastest developing sustainable transport solutions [3][4][5][6]. Modernized and urban lifestyles have faded away physical activity of everyday life and this has resulted in a threat to population health caused by sedentary lifestyles [7].…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of Public Bike Sharing Systems for Categorization

Mátrai

Tóth

2020

Sustainability

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The world population will reach 9.8 billion by 2050, with increased urbanization. Cycling is one of the fastest developing sustainable transport solutions. With the spread of public bike sharing (PBS) systems, it is very important to understand the differences between systems. This article focuses on the clustering of different bike sharing systems around the world. The lack of a comprehensive database about PBS systems in the world does not allow comparing or evaluating them. Therefore, the first step was to gather data about existing systems. The existing systems could be categorized by grouping criterions, and then typical models can be defined. Our assumption was that 90% of the systems could be classified into four clusters. We used clustering techniques and statistical analysis to create these clusters. However, our estimation proved to be too optimistic, therefore, we only used four distinct clusters (public, private, mixed, other) and the results were acceptable. The analysis of the different clusters and the identification of their common features is the next step of this line of research; however, some general characteristics of the proposed clusters are described. The result is a general method that could identify the type of a PBS system.

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Elasticity of Demand in Urban Traffic Case Study: City of Rijeka

Cited by 3 publications

References 1 publication

Modeling of Passenger Flows in Agglomerations of Large Developing Cities (on the Example of Kyiv)

Modeling of Passenger Flows in Agglomerations of Large Developing Cities (on the Example of Kyiv)

Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars – Hungarian Experience

Cluster Analysis of Public Bike Sharing Systems for Categorization

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