CLASSIFYING RAILWAY PASSENGER STATIONS FOR USE TRANSPORT PLANNING – APPLICATION TO BULGARIAN RAILWAY NETWORK

Publications

Share / Export Citation / Email / Print / Text size:

Transport Problems

Silesian University of Technology

Subject: Economics , Transportation , Transportation Science & Technology

GET ALERTS

eISSN: 2300-861X

DESCRIPTION

11
Reader(s)
38
Visit(s)
0
Comment(s)
0
Share(s)

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue / page

Related articles

VOLUME 11 , ISSUE 2 (June 2016) > List of articles

CLASSIFYING RAILWAY PASSENGER STATIONS FOR USE TRANSPORT PLANNING – APPLICATION TO BULGARIAN RAILWAY NETWORK

Svetla STOILOVA * / Radina NIKOLOVA

Keywords : principal component, cluster analysis, railway station, passengers, classification

Citation Information : Transport Problems. Volume 11, Issue 2, Pages 143-155, DOI: https://doi.org/10.20858/tp.2016.11.2.14

License : (CC BY-SA 4.0)

Received Date : 19-February-2015 / Accepted: 25-May-2016 / Published Online: 02-February-2017

ARTICLE

ABSTRACT

Summary. A methodology for the classification of railway passenger stations was developed in this study. Four groups of factors are defined to study the characteristics of the station: potential of the town, importance of the town, infrastructural factors, and
characteristics of passengers. In the research we investigated 18 factors and studied 98 passenger stations of railway network in Bulgaria. The method of principal components has been applied for grouping the factors and cluster analysis has been applied to classify the stations. The factors have been classified into 4 components by the method of principal components. The stations have been classified into 6 groups using hierarchical cluster analysis. The methods, Average linkage between group and Within-groups
linkage, and distance-type measures Euclidean distance and Squared Euclidean distance were compared to verify the results of cluster analysis. The grouping of the stations has been used for the determination of the stops for categories intercity passenger trains. The main groups of stations for servicing express trains are the first, second, third, fourth and fifth groups. In the sixth group are stations for servicing fast passenger trains. The methodology can be applied to the study of all stations and stops in the rail network.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

Bertolini, L. Nodes and places complexities of railway station redevelopment. European Planning Studies. 1996. Vol. 4. No. 3. P. 331-34.

Bertolini, L. Station area redevelopment in five European countries. An international respective on a complex planning challenge. International Planning Studies. 1998. Vol. 3. No. 2. P. 163-184.

Bertolini, L. Spatial development patterns and public transport: the application of an analytical model in the Netherlands. Planning, Practice and Research. 1999. No. 14. P. 199–210.

Chorus, P. & Bertolini, L. An application of the node- place model to explore the spatial development dynamics of station areas in Tokyo. The Journal of Transport and Land Use. 2011. Vol. 4. No. 1. P. 45-48.

Das Stationspreissystem SPS 11 - Gültig ab 01.01.2013. Berlin: DB Station&Service AG. 2012. Available at: 
http://www.deutschebahn.com/file/3047500/data/stationspreissystem_2011_gueltig_ab_2013.pdf [In German: The station pricing system SPS 11 - Valid from 01.01.2013. Berlin: DB Station & Service AG.]

Die sieben Bahnhofskategorien. Berlin: DB Station&Service AG. 2013. Available at:
http://www.deutschebahn.com/de/geschaefte/infrastruktur/bahnhof/bahnhofs_kategorien.html. [In German: The seven categories of railway station. Berlin: DB Station & Service AG.]

Havlena, O. & Jacura, M. et al. Parameters of passenger facilities according to railway station characteristics. Transport Problems. 2014. Vol. 9. No. 4. P. 97-104.

Hai, X. & Zhao, C. & Jiang, X. Train Station Classification for Passenger Dedicated Line. International Journal of Advancements in Computing Technology (IJACT). 2012. Vol. 4. No. 15. P. 328-335.

Peek, G. & Bertolini, L. Gaining insight in development potential of station areas: A decade of Node-Place modelling in the Netherlands. Planning, Practice and Research. 2006. Vol. 21. No. 4. P. 443-462.

Pucci, P. Classifying railway stations. Workshop on Infrastructures planning and design. Available at: http://www.workshop-infra.polimi.it/lezioni/documenti/cassi.pdf

Reusser, D. & Loukopoulos, P. & Scholz, R. Classifying railway stations for sustainable transitions – balancing node and place functions. Journal of transport geography. 2008. No. 16. P. 191-202.

Sustainability Report 2014. Ferroviaria Italiana. Strategy and Planning Head Office. 2015. Available at: http://www.fsitaliane.it/cms-file/allegati/fsitaliane_en/2014_Sustainability_Report.pdf

Srivastava, T. & Shailaja, R. Statistics for Management. McCraw-Hill Publishing. 2008. 266 p.

Tan, P. & Steinbach, M. & Kumar, U. Introduction to Data mining. Minnesota: University of Minnesota. 2006. 769 p.

Zemp, S. & Stauffacher, M. et al. Classifying railway stations for strategic transport and land use planning: Context matters. Journal of transport geography. 2011. No. 19. P. 670-67.

EXTRA FILES

COMMENTS