Data-Driven Decisions in Transportation – An Assessment of Louisiana's Freight Mobility Goals
Keywords:Freight; Operations; Performance Measures; TTTR Index; Data-Driven
This study evaluated how Louisiana has met its commercial vehicle operations (CVO) goals to increase freight mobility and facilitate freight and economic growth on significant freight routes in Louisiana. The performance measures used for this assessment were the Truck Travel Time Reliability (TTTR) Index and vehicle user delay cost for periods between 2016-2020, which were sourced from the National Performance Management Research Data Set (NPMRDS). Louisiana's interstate highway remained reliable with TTTR Index scores of less than 1.50, but some Traffic Messaging Channels (TMC) segments experienced maximum TTTR scores greater than 1.50, which were altogether 15.47% of the interstate highway system, as of 2020. The 15.47% of the interstate highway contributed, on average, 72.34 % of the annual user delay cost between 2016 and 2019 and 62.49% in 2020, which are extremely high considering the length of the interstate system. This paper demonstrates how data can be used to set transportation mobility priorities and also demonstrates how data can be used to identify areas with the greatest need for improvement in a transportation system.
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