The Cost of Congestion: An Innovative Approach to Utilizing Waybill Data to Support Freight Transportation Planning and Analysis [pamphlet]
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2017-08-01
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Abstract:Like a typical commuter building buffer time into daily travel to account for congestion and ensure on-time arrival, a similar buffer is often planned for goods shipped by truck over the highway. Unlike the individual commuting to an office, however, the freight carrier incurs labor, fuel, equipment and lost productivity costs when a shipment is stuck in traffic. That cost is either passed on to the consumer or absorbed by the freight carrier. The Mid-America Regional Council (MARC), the metropolitan planning organization (MPO) for the Kansas City area, sought to overcome traditional challenges in calculating the cost of such delay. MARC was awarded SHRP2 C20 research assistance to explore innovative approaches to utilizing data to better understand the cost of congestion for freight. In the past, research was hampered by the needs of shippers and carriers to consider cost data proprietary in order to maintain a competitive edge in an industry with slim margins. Fortunately, the availability of new datasets, such as the Federal Highway Administration's (FHWA) National Performance Management Research Data Set (NPMRDS) and the Real-time Freight Intelligence (RTFI) commercial freight waybill dataset, now allow researchers to begin the work of calculating the true cost of congestion.
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