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

Harantová, Veronika; Mazanec, Jaroslav; Štefancová, Vladimíra; Masek, J; Foltýnová, Hana Brůhová

doi:10.3390/math11030583

Cited by 19 publications

(9 citation statements)

References 76 publications

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“…With the relaxation of the measures taken, a gradual increase in mobility was recorded. During the summer months of 2020, there was a relaxation of the measures taken, followed by an increase in the mobility of the population of the Slovak Republic [19][20][21][22]. The selected research method was the analysis of data obtained from relevant sources with the focus on the given pandemic problem being reviewed.…”

Section: Methodsmentioning

confidence: 99%

Impact of the COVID Crisis on Public Passenger Transport in Slovakia and Urban Transport in Žilina on a Selected Line

Majerčák

Kurenkov

2023

LOGI – Scientific Journal on Transport and Logistics

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The effects of the COVID-19-related crisis in society can be seen not only in long-distance passenger transport but also in the urban transportation services in the territory. During the pandemic, the travelling public tended to choose private motor vehicles, bicycles, or walking as their mode of transport to work or other activities. This fact was also the subject of our research based on the analysis of data on public passenger rail transport in the individual regions of the Slovak Republic and based on data analysis performed, also in urban transport in the city of Žilina. Mobility in the city was investigated and analysed based on detailed monitoring of the use of the means of transport on a specific trolleybus line No. 67, where a hybrid trolleybus Škoda 26TrA Solaris was deployed. It was found out that the impact of the pandemic and the adoption of restrictive measures to prevent the spread of the disease significantly affected this trolleybus line, where, depending on the extent of the measures taken, the occupancy of the trolleybus fluctuated by up to 60 % in specific months compared to the standard period of use of this means of transport.

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Section: Methodsmentioning

confidence: 99%

Impact of the COVID Crisis on Public Passenger Transport in Slovakia and Urban Transport in Žilina on a Selected Line

Majerčák

Kurenkov

2023

LOGI – Scientific Journal on Transport and Logistics

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“…So in cluster analysis we can construct R 2 and calculate it every time the number of clusters changes. So for n clusters, the total sum of squares T is 21 1…”

Section: Determining the Number Of Clustersmentioning

confidence: 99%

Cluster methods in function better selection

Mijanović

2024

MOJSM

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Cluster analysis methods, also known as taxonomic methods, are intended for grouping objects and subjects according to certain characteristics, attributes and properties. Cluster analysis looks at relevant objects and attributes, classifying them into two or more independent groups. Cluster analysis supplemented with discriminant analysis is used in confirmatory and fundamental research. In numerous statistical-methodological procedures, these methods are applied when setting up and testing various hypotheses. Grouping methods are particularly useful in the process of different selections with the aim of forming coherent groups, which may or may not necessarily be statistically different. There are several models of clustering (grouping), always with one goal, which is greater proximity (similarity) of an entity belonging to a group compared to an entity belonging to another group. Two basic grouping models are recognizable, Hierarchical and Non-Hierarchical. Both models have the same goal, which is the formation of several independent homogeneous groups from one common group of entities. The hierarchical approach does not define the number of clusters in advance (a priori), in contrast to the Non-Hierarchical Model which defines in advance number of clusters. The grouping model is chosen depending on the specific problem and the set goal of grouping. In the process, several different models are often applied, and then one is chosen as in this research. It is important to point out that the theoretical number of clusters (groups) is often not realistically applicable in practice. Using the example of this research, it was proven that the first grouping was not a good solution. Through the subsequent, second and third iteration, as well as the application of additional discriminative methods, three optimal clusters were determined in the population of girls and boys. Satisfactory optimal grouping was obtained on the basis of gender criteria and achieved results on psycho-motor tests.

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“…This agreement is applicable to both non-EU and EU members (provided that both parties are AETR agreement contracting nations for the full transportation route). In addition to the level of safety required by the nature of road transport, this agreement can only be applied to vehicles weighing more than 3.5 tonnes [9]. This agreement defines the permitted daily/weekly driving and rest periods.…”

Section: Introductionmentioning

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

Cited by 19 publications

References 76 publications

Impact of the COVID Crisis on Public Passenger Transport in Slovakia and Urban Transport in Žilina on a Selected Line

Impact of the COVID Crisis on Public Passenger Transport in Slovakia and Urban Transport in Žilina on a Selected Line

Cluster methods in function better selection

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

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