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

Thorbjørn M. Illemann, A. Karam, K. H. Reinau
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引用次数: 3

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.
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面向与公共政策制定者共享私营货运公司的数据:一个用于识别共享数据用途的拟议框架
私营货运公司利用先进的信息和通信工具收集了大量的数据。与公共政策制定者共享这些公司的货运数据,将大大改善公共部门的运输规划决策。现有文献已经展示了公共部门如何在运输规划中使用这些私人货运数据的各种方法。然而,目前的文献缺乏一个框架,可用于指导公共政策制定者确定共享货运数据的最合适用途,以满足其规划需求。本文解决了这一研究缺口,并提出了一个框架,用于确定如何使用共享的货运数据来满足不同货运利益相关者的规划需求。首先,回顾了相关研究,包括货运数据的不同用途的详细说明。根据审查结果,确定了货运数据的不同用途,并将其分为六类:货运数据在研究中的潜力、货运运输模式、运输活动的温室气体(GHG)排放估算、停车模式分析、交通安全分析和交通规划。其次,提出了一个框架,以帮助公共政策制定者确定最适合的群体,以满足其交通规划需求。
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