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

Fürst, Elmar Wilhelm and Oberhofer, Peter and Vogelauer, Christian and Bauer, Rudolf and Herold, David Martin (2019) Innovative methods in European road freight transport statistics: A pilot study. Journal of Statistics and Management Systems. pp. 1-22. ISSN 2169-0014

[img]
Preview
PDF
Main_Manuscript_JSMS_Fuerst_et_al.pdf

Download (421kB)

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.

Item Type: Article
Additional Information: This is an original manuscript / preprint of an article published by Taylor & Francis in "Journal of Statistics and Management Systems" on 22 Jul 2019, available online: https://www.tandfonline.com/doi/abs/10.1080/09720510.2019.1615676 .
Keywords: Road Freight Transport, Transport Statistics, Innovative Methods, Automated Data Collection, Data Quality, Policy Improvement
Classification Codes: Subject Classification: (2010): 62Bxx
Divisions: Departments > Welthandel > Transportwirtschaft und Logistik > Kummer
Forschungsinstitute > Supply Chain Management
Version of the Document: Draft
Variance from Published Version: Minor
Depositing User: David Martin Herold
Date Deposited: 24 Jul 2019 09:33
Last Modified: 24 Jul 2019 11:27
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/91602/
URI: https://epub.wu.ac.at/id/eprint/7067

Actions

View Item View Item

Downloads

Downloads per month over past year

View more statistics