Economic Effects of Congress Tourism: Two- Step Cluster Approach

Rađenović, Žarko; Boshkov, Tatjana

doi:10.46763/yfnts2251185r

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…Furthermore, the huge ratios of the distance measures and BIC changes are also tracked. Nevertheless, in the statistical-analytical application IBM SPSS 29, the ideal number of clusters is automatically determined [42] without the author's input group calibration. The silhouette value expresses how cohesively an object belongs to its cluster, as opposed to how separate it is from other clusters.…”

Section: Methodsmentioning

confidence: 99%

The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic

Poliak,

Benus,

Mazanec

et al. 2024

Applied Sciences

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To achieve the elimination of the negative impacts of transport on road safety, the European Union is taking various measures resulting from its commitment to improve road safety. The main objective of this paper is to assess the impact of social legislation on road transport safety using real research and to identify the factors influencing the violation of the legislation depending on the type of transport carried out in domestic or international road freight transport. Answers from the respondents are used in the segmentation of truck drivers based on input data describing the factors influencing the violation of traffic rules. Two-step cluster analysis is a suitable method for the segmentation of truck drivers based on input data. These data are obtained through a questionnaire from a total of 472 Czech and Slovak truck drivers. The results show that the optimal number of types of truck drivers with different characteristics is four. All of the clusters are described and compared. The majority of truck drivers do not violate social legislation for several reasons, such as traffic accidents (almost 67%), complications in meeting the loading or unloading deadline (less than 88%), poorly planned transport routes (more than 90%) and driving home (almost 80%).

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Section: Methodsmentioning

confidence: 99%

The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic

Poliak,

Benus,

Mazanec

et al. 2024

Applied Sciences

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show abstract

“…In addition, we also monitor the large Ratio of BIC Changes and large Ratio of Distance Measures. However, the statistical-analytical program automatically determines the optimal number of clusters without the author's decision [29] in statistical-analytical programme IBM SPSS 26.…”

Section: Methodsmentioning

confidence: 99%

The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic

Poliak,

Vichova,

Mazanec

et al. 2024

Preprint

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In order to achieve the elimination of the negative impacts of transport on road safety, the European Union is taking various measures resulting from its commitment to improve road safety. One of the instruments for achieving the objectives set is social legislation for the work of drivers in road freight and passenger transport. In line with the objective of improving the quality of working conditions for road transport drivers and road safety, the European Union applies Regulation (EC) No 561/2006 on the harmonisation of certain social legislation relating to road transport, which lays down rules on driving times, breaks and rest periods for drivers operating in road freight and passenger transport. The main objective of the paper is to assess the impact of social legislation on road transport safety by means of real research and to identify the factors influencing the violation of the legislation depending on the type of transports carried out in domestic or international road freight transport.

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“…In addition, we also monitored the large ratio of BIC changes and the large ratio of distance measures. However, the statistical-analytical program automatically determines the optimal number of clusters without the author's decision [59] in the statistical-analytical program IBM SPSS 26.…”

Section: Methodsmentioning

confidence: 99%

Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic

et al. 2023

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In this paper, we analyse the specific behaviour of passengers in personal transport commuting to work or school during the COVID-19 pandemic, based on a sample of respondents from two countries. We classified the commuters based on a two-step cluster analysis into groups showing the same characteristics. Data were obtained from an online survey, and the total sample size consists of 2000 respondents. We used five input variables, dividing the total sample into five clusters using a two-step cluster analysis. We observed significant differences between gender, status, and car ownership when using public transport, cars, and other alternative means of transportation for commuting to work and school. We also examined differences between individual groups with the same socioeconomic and socio-demographic factors. In total, the respondents were classified into five clusters, and the results indicate that there are differences between gender and status. We found that ownership of a prepaid card for public transport and social status are the most important factors, as they reach a significance level of 100%, unlike compared to other factors with importance ranging from 60 to 80%. Moreover, the results demonstrate that prepaid cards are preferred mainly by female students. Understanding these factors can help in planning transport policy by knowing the habits of users.

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Economic Effects of Congress Tourism: Two- Step Cluster Approach

Cited by 4 publications

References 1 publication

The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic

The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic

The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic

Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic

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