Private freight companies collect a significant amount of data by utilizing advanced information and communication tools. Sharing the freight data of these companies with public policy makers, would significantly improve transportation planning decisions in the public sector. Existing literature has shown various ways of how public sectors can use this private freight data in transportation planning. However, current literature lacks a framework that can be used to guide the public policy makers to identify the most suitable uses of the shared freight data that satisfy their planning needs. This paper addresses this research gap and presents a framework for identifying how the shared freight data can be used to satisfy the planning needs of different freight stakeholders. First, relevant studies are reviewed, including a detailed illustration of the different uses of the freight data. Based on the review results, different uses of freight data are identified and categorized into six categories: Potentials of freight data in research, patterns of freight movements, estimating Green House Gas (GHG) emissions from transportation activities, analyses of parking patterns, traffic safety analyses, and traffic planning. Second, a framework is suggested to help public policy makers in identifying the most suitable groups that satisfy their transportation planning needs.
|Titel||ICIEA 2021-Europe : 2021 The 8th International Conference on Industrial Engineering and Applications(Europe)|
|Forlag||Association for Computing Machinery|
|Publikationsdato||8 jan. 2021|
|Status||Udgivet - 8 jan. 2021|
|Begivenhed||8th International Conference on Industrial Engineering and Applications, ICIEA 2021-Europe - Virtual, Online, Spanien|
Varighed: 8 jan. 2021 → 11 jan. 2021
|Konference||8th International Conference on Industrial Engineering and Applications, ICIEA 2021-Europe|
|Periode||08/01/2021 → 11/01/2021|
|Navn||ACM International Conference Proceeding Series|
Bibliografisk noteFunding Information:
The framework has been developed as a part of a research project “A new system for sharing data between logistics companies and public infrastructure authorities: improving infrastructure while maintaining competitive advantage” – project no. 887006. A special thank you is due to Goran Vuk and Christian Overgaard for their valuable input. This work was funded by the Danish Road Directorate.
© 2021 ACM.
- Big data
- Freight transport
- Public-privat partnership