The data driven transport research train is leaving the station. Consultants all aboard?

This study sets out to assess whether there is a knowledge gap between the research frontier and the consultation business in how transport data are collected, managed and analysed. The consulting business play an important role in applying data and methods as they typically carry out public tasks in various parts of the transport system, which are becoming more and more specialised. At the same time, big data has emerged with the promise to provide new, more and better information to help understand society and execute policies more efficiently – what the authors refer to as the data driven transition. They conduct a literature review to identify the state of the art within international research and compare this with results from interviews and a survey sent to representatives from the Norwegian consultation business. The authors find that there is a considerable gap between international researchers and the consulting business within the entire process of collection, management and analysis of traffic data, and that this gap is increasing with the emergence of the data driven transition. Finally, they argue that the results are applicable to other countries as well. Based on their findings the authors suggest that various governmental institutions should strive to close the gap. They recommend that educational institutions should adjust their programs to meet further needs. Only then will the new data driven development enable better policies and better execution of public tasks.

• Record URL:
  • https://doi.org/10.1016/j.tranpol.2019.05.016
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0967070X17305589
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/29485010
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Seter, Hanne
  • Arnesen, Petter
  • 0000-0002-0413-1812
  • Hjelkrem, Odd André
• Publication Date: 2019-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 59-69
• Serial:
  • Transport Policy
  • Volume: 80
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0967-070X
  • Serial URL: http://www.elsevier.com/locate/issn/096707X

Subject/Index Terms

• TRT Terms: Data collection; Literature reviews; Research; Traffic data
• Uncontrolled Terms: Big data; Data-driven models
• Geographic Terms: Norway
• Subject Areas: Data and Information Technology; Research; Transportation (General);

Filing Info

• Accession Number: 01709709
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 1 2019 9:20AM