Innovative methods in European road freight transport statistics : A pilot study

Publication: Scientific journalJournal articlepeer-review

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Abstract

By using innovative methods, such as the automated transfer of corporate electronic data to National Statistical Institutions, official transport data can be significantly improved in terms of reliability, costs and the burden on respondents. In this paper, we show that the automated compilation of statistical reports is possible and feasible. Based on previous findings, a new method and tool were developed in cooperation with two business partners from the logistics sector in Austria. The results show that the prototype could successfully be implemented at the partner companies. Improved data quality can lead to more reliable analyses in various fields. Compared to actual volumes of investments into transport, the costs of transport statistics are limited. By using the new and innovative data collection techniques, these costs can even be reduced in the long run; at the same time, the risk of bad investments and wrong decisions caused by analyses relying on poor data quality can be reduced. This results in a substantial value for business, research, the economy and the society.
Original languageEnglish
Pages (from-to)1 - 22
JournalJournal of Statistics and Management Systems
DOIs
Publication statusPublished - 2019

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502017 Logistics
  • 502052 Business administration
  • 502019 Marketing
  • 502020 Market research
  • 502032 Quality management
  • 504007 Empirical social research
  • 507025 Transport planning
  • 506004 European integration

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