TY - GEN
T1 - Towards Sharing Data of Private Freight Companies with Public Policy Makers
T2 - 8th International Conference on Industrial Engineering and Applications, ICIEA 2021-Europe
AU - Illemann, Thorbjoern M.
AU - Karam, Ahmed
AU - Hegner Reinau, Kristian
N1 - Publisher Copyright: © 2021 ACM.
PY - 2021/1/8
Y1 - 2021/1/8
N2 - 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.
AB - 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.
KW - Big data
KW - Freight transport
KW - Public-privat partnership
KW - Big data
KW - Freight transport
KW - Public-privat partnership
UR - http://www.scopus.com/inward/record.url?scp=85115073314&partnerID=8YFLogxK
UR - https://dl.acm.org/doi/proceedings/10.1145/3463858
U2 - 10.1145/3463858.3463897
DO - 10.1145/3463858.3463897
M3 - Article in proceeding
AN - SCOPUS:85115073314
T3 - ACM International Conference Proceeding Series
SP - 132
EP - 136
BT - ICIEA 2021-Europe
PB - Association for Computing Machinery
CY - New York
Y2 - 8 January 2021 through 11 January 2021
ER -