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  1. m

    International Job Vacancies in Transport, Mobility, and Logistics: Employer...

    • data.mendeley.com
    • datasetcatalog.nlm.nih.gov
    Updated Sep 29, 2026
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    Luis David Berrones-Sanz (2026). International Job Vacancies in Transport, Mobility, and Logistics: Employer Demands, Skills, Tools, and Educational Requirements (2025–2026) [Dataset]. http://doi.org/10.17632/xf7n5x9zzx.1
    Explore at:
    Dataset updated
    Sep 29, 2026
    Authors
    Luis David Berrones-Sanz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains 2,181 international job-vacancy and occupational records related to transport, mobility, logistics, supply chain management, railway systems, freight transport, public transport, planning, operations, and associated professional profiles. The database covers the 2025–2026 period and includes 26 variables describing geographic scope, original and normalized job titles, employers, sources, education and experience requirements, employer demands, activities and responsibilities, requested skills, technological tools, standards and systems, knowledge requirements, and the relationship of each profile with Transport Engineering. The dataset was developed to identify current and emerging labor-market requirements and to support comparative analysis of professional competencies across countries and transport-related sectors. Original information was standardized to improve comparability among heterogeneous job advertisements, while derived variables were created to support thematic classification, evidence assessment, and analysis of implications for Transport Engineering education. The repository includes the master dataset in XLSX and CSV formats, a detailed data dictionary, observed categories and frequencies, data-quality summaries, standardization rules, and methodological notes. The dataset can be reused for research on transportation and logistics labor markets, professional skills, employer requirements, digital transformation, human-resource demand, engineering education, curriculum development, and international comparisons of occupational profiles. It may also support the identification of emerging competencies, software and technological requirements, and gaps between university curricula and industry needs.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Luis David Berrones-Sanz (2026). International Job Vacancies in Transport, Mobility, and Logistics: Employer Demands, Skills, Tools, and Educational Requirements (2025–2026) [Dataset]. http://doi.org/10.17632/xf7n5x9zzx.1

International Job Vacancies in Transport, Mobility, and Logistics: Employer Demands, Skills, Tools, and Educational Requirements (2025–2026)

Explore at:
Dataset updated
Sep 29, 2026
Authors
Luis David Berrones-Sanz
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset contains 2,181 international job-vacancy and occupational records related to transport, mobility, logistics, supply chain management, railway systems, freight transport, public transport, planning, operations, and associated professional profiles. The database covers the 2025–2026 period and includes 26 variables describing geographic scope, original and normalized job titles, employers, sources, education and experience requirements, employer demands, activities and responsibilities, requested skills, technological tools, standards and systems, knowledge requirements, and the relationship of each profile with Transport Engineering. The dataset was developed to identify current and emerging labor-market requirements and to support comparative analysis of professional competencies across countries and transport-related sectors. Original information was standardized to improve comparability among heterogeneous job advertisements, while derived variables were created to support thematic classification, evidence assessment, and analysis of implications for Transport Engineering education. The repository includes the master dataset in XLSX and CSV formats, a detailed data dictionary, observed categories and frequencies, data-quality summaries, standardization rules, and methodological notes. The dataset can be reused for research on transportation and logistics labor markets, professional skills, employer requirements, digital transformation, human-resource demand, engineering education, curriculum development, and international comparisons of occupational profiles. It may also support the identification of emerging competencies, software and technological requirements, and gaps between university curricula and industry needs.

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