01515738

Component

The advancements in digital technology, data collection methods, centralized information and database management systems have contributed to a rapid and data-driven information generation. In many business sectors, significant business decisions are made with support from knowledge and information generated through data analysis methods applied to collected data. The transportation industry, however, is behind relative to other industry sectors in effectively utilizing data to generate information and support in its decision-making processes. This paper presents a three-tiered data and information integration framework to support highway agencies’ decisions based on the evolution and vision of highway agencies’ data and information management. A case study is incorporated to analyze the gap between current data utilization and ideal data and information generation. The study applied Juran’s “triple role” concept to describe and map the relationships between data, information and decisions. Based on the framework, three paths were identified: an active path that is currently in use; an inactive path that is currently not in use and a non-existing path where the necessary information and its extraction method is unknown. The developed framework guides highway agencies on how to generate and place right information and knowledge in the hands of decision makers. The results would promote active utilization of existing databases and help justify the continuous data collection efforts.

This paper was sponsored by TRB committee ABJ50 Information Systems and Technology.

01503729

14-3426

English

14p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Data collection; Databases; Decision making; Decision support systems; Information management; Project management; Reports; Transportation departments

Administration and Management; Data and Information Technology; Highways; I10: Economics and Administration

Transportation Research Board Annual Meeting 2014 Paper #14-3426

TRIS, TRB, ATRI

Jan 27 2014 3:11PM