An evaluation of training courses and programmes in various management level job categories for road transport: A quantitative data analysis

Abstract

Training programmes for road transport jobs and positions vary significantly across Europe and worldwide. The training programmes are highly developed and specialised in some countries, being strategically managed at a national level, whilst in many countries, training in particular for lower-skilled positions, is mostly organised and managed in-house by companies, and just a few national formal training schemes are available. Therefore, it is necessary to identify potential gaps in the availability of training schemes and programmes in the road transport sector, to support further development of new programmes or the improvement of existing ones. This paper is centered on the analysis of existing training programmes and schemes for road transport primarily in Europe, but additionally Australia is also added in the study. A data set has been collected and statistically analysed for a number of countries. Different job categories in road transport have been studied. A comparison of results is presented showing a vast diversity and lack of standard in skills development for road transport. The study did not identify any evidence for any harmonised procedure and best practices in skills development for road transport amongst the countries under study. Instead, it appears that each country has developed and implemented training programmes and courses for a specific audience, targeting a specific learning outcome.

Publication DOI: https://doi.org/10.33495/jerr_v7i2.19.101
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
Additional Information: Copyright © 2019 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0
Uncontrolled Keywords: Training, programmes, road transport, skills, data collection, analysis, careers
Publication ISSN: 2384-7301
Last Modified: 26 Dec 2023 08:55
Date Deposited: 08 Mar 2019 16:19
Full Text Link:
Related URLs: http://sciencew ... v%20et%20al.htm (Publisher URL)
PURE Output Type: Article
Published Date: 2019-02-15
Accepted Date: 2019-02-15
Authors: Ulianov, Alexandru
Marinov, Marin (ORCID Profile 0000-0003-1449-7436)
Robinson, Mark

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