dc.contributor.author | Fürst, Elmar | |
dc.contributor.author | Oberhofer, Peter | |
dc.contributor.author | Vogelauer, Christian | |
dc.contributor.author | Bauer, Rudolf | |
dc.contributor.author | Herold, David M | |
dc.date.accessioned | 2019-08-05T00:48:53Z | |
dc.date.available | 2019-08-05T00:48:53Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 0972-0510 | |
dc.identifier.doi | 10.1080/09720510.2019.1615676 | |
dc.identifier.uri | http://hdl.handle.net/10072/386521 | |
dc.description.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. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Taylor and Francis | |
dc.relation.ispartofpagefrom | 1 | |
dc.relation.ispartofpageto | 22 | |
dc.relation.ispartofjournal | Journal of Statistics and Management Systems | |
dc.subject.fieldofresearch | Transportation, logistics and supply chains | |
dc.subject.fieldofresearchcode | 3509 | |
dc.title | Innovative methods in European road freight transport statistics : A pilot study | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dcterms.bibliographicCitation | Fürst, E; Oberhofer, P; Vogelauer, C; Bauer, R; Herold, DM, Innovative methods in European road freight transport statistics : A pilot study, Journal of Statistics and Management Systems, 2019, pp. 1-22 | |
dc.date.updated | 2019-08-02T12:03:35Z | |
dc.description.version | Accepted Manuscript (AM) | |
gro.description.notepublic | This publication has been entered into Griffith Research Online as an Advanced Online Version. | |
gro.rights.copyright | © 2019 Taylor & Francis (Routledge). This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Statistics and Management Systems on 22 Jul 2019, available online: https://doi.org/10.1080/09720510.2019.1615676 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Herold, David M. | |