Abstract

Summary. A methodology for the classification of railway passenger stations was developed in this study. Four groups of factors are defined...

Highlights

  • The development of the organisation of passenger transport by rail and transport services is dependent on the significance of the station in terms of volume of passenger traffic and the potential of the settlement, which the station serves

  • The main groups of these factors are the potential of the town, the importance of the town, infrastructural factors, and the characteristics of passengers

  • A cluster analysis has been used for the classification of the railway passenger stations

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Summary

INTRODUCTION

The development of the organisation of passenger transport by rail and transport services is dependent on the significance of the station in terms of volume of passenger traffic and the potential of the settlement, which the station serves. Each classification could serve for different purposes and it is important for the development of railway stations as an attractive centre for transportation. The aim of this research is to create a methodology for the classification of the railway passenger stations depending on the parameters characterising the potential of the location, infrastructure and transport volumes, which could be used as a basis for the development of transport services to different categories of passenger trains. This would allow developing and comparing the technological schemes for railways lines or complex railway network. The methodology of the study includes the following: determination of the indicators to examine the stations according to their characteristics; application of the data analysis methods for studying railway stations; and elaboration of the classification of the studied railway stations by using their predefined characteristics

LITERATURE REVIEW
Factors for classification
Infrastructure factors
Principal Component Analysis
Cluster analysis
APPLICATION - A STUDY FOR THE BULGARIAN RAILWAY NETWORK
Classification of criteria using Principal Component Analysis
Classification of railway passenger station using Cluster Analysis
CONCLUSIONS
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