

You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Multi-Criteria Evaluation of Railway Network Performance in Countries of the TEN-T Orient–East Med Corridor

doi: 10.3390/su12041482
handle: 10261/218685
Railway networks have different levels of development, which affects the overall transport process and integrated sustainable development. This paper presents a methodology to assess and classify the railway network performance along the Trans-European Transport Network (TEN-T) core network corridor. The Orient–East Med corridor (OEM) has been examined. Twenty-two infrastructural, economic and technological criteria for assessment of railway transport have been proposed. The countries were ranked used multi-criteria decision making (MCDM), by applying the Sequential Interactive Modelling for Urban Systems (SIMUS). A sensitivity analysis was performed regarding each objective, and then, their allowable range of variation was determined without modifying the whole ranking of countries. The criteria weights have been determined on the basis of the output of using the SIMUS method. It was found that the main criteria for ranking the countries are: length of the connecting railway lines of the corridor in the country, length of the railway lines in the country, number of intermodal terminals, gross domestic product (GDP) per capita, passengers transport performance, freight transport performance for the railway network, corridor freight usage intensity. It was found that the railway transport in the area of the OEM corridor located in Central Europe is better developed than in the Southeast European area. A cluster analysis was performed to classify countries into groups to verify the results. The results show that the eight countries included in the OEM corridor can be classified into three groups. The methodology could be used to make decisions about transport planning and improvement of the connectivity and sustainability of the railway transport, considering their development.
- Spanish National Research Council Spain
- Universitat Politècnica de València Spain
- Technical University of Sofia Bulgaria
- University of Žilina Slovakia
- University of Žilina Slovakia
trans-european transport network (ten-t), multi-criteria decision making, TJ807-830, TD194-195, Renewable energy sources, Railway network, Multi-criteria decision making, Cluster analysis, oem corridor, SIMUS method, Cluster Analysis, network performance, simus method, GE1-350, railway network, Environmental effects of industries and plants, Trans-European Transport Network (TEN-T), OEM corridor, Environmental sciences, Network performance, cluster analysis
trans-european transport network (ten-t), multi-criteria decision making, TJ807-830, TD194-195, Renewable energy sources, Railway network, Multi-criteria decision making, Cluster analysis, oem corridor, SIMUS method, Cluster Analysis, network performance, simus method, GE1-350, railway network, Environmental effects of industries and plants, Trans-European Transport Network (TEN-T), OEM corridor, Environmental sciences, Network performance, cluster analysis
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).53 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1% visibility views 38 download downloads 63 - 38views63downloads
Data source Views Downloads DIGITAL.CSIC 38 63


