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Abstract Details

Activity Number: 170
Type: Topic Contributed
Date/Time: Monday, July 30, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Government Statistics
Abstract - #306920
Title: Challenges of Data Analysis in Transportation
Author(s): David Banks* and Cliff Spiegelman* and Fan Zhang* and Amrut Champaneri*
Companies: Duke University and Texas A&M University and U.S. Department of Transportation

As society is becoming more dependent on data and increasingly data rich, it is important to take a look at what data is being used for analysis and where it originates. This session, "Challenges of Data Analysis in Transportation", addresses some of the challenges researchers face as statistics adapt to serve an increasingly data reliant society. Four speakers from both the government and private sector will discuss some of these challenges with respect to the transportation industry. Discussions will focus on new challenges in transportation statistics, including the need to fully explain the large and sudden drop in automobile fatalities in the last five years, the necessity to improve seat belt use survey data quality, multiple imputation of linked data and assessing the quality of data with methods to overcome the difficulty of working with not-so-clean data.

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