Towards Sharing Data of Private Freight Companies with Public Policy Makers: A Proposed Framework for Identifying Uses of the Shared Data

Thorbjoern M. Illemann*, Ahmed Karam, Kristian Hegner Reinau

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationICIEA 2021-Europe : 2021 The 8th International Conference on Industrial Engineering and Applications(Europe)
Number of pages5
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Publication date8 Jan 2021
Pages132-136
Article number171627
ISBN (Electronic)978-1-4503-8992-1
DOIs
Publication statusPublished - 8 Jan 2021
Event8th International Conference on Industrial Engineering and Applications, ICIEA 2021-Europe - Virtual, Online, Spain
Duration: 8 Jan 202111 Jan 2021

Conference

Conference8th International Conference on Industrial Engineering and Applications, ICIEA 2021-Europe
Country/TerritorySpain
CityVirtual, Online
Period08/01/202111/01/2021
SeriesACM International Conference Proceeding Series

Bibliographical note

Publisher Copyright: © 2021 ACM.

Keywords

  • Big data
  • Freight transport
  • Public-privat partnership

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