2010
DOI: 10.3155/1047-3289.60.7.884
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Marine Vessels as Substitutes for Heavy-Duty Trucks in Great Lakes Freight Transportation

Abstract: This paper applies a geospatial network optimization model to explore environmental, economic, and time-of-delivery tradeoffs associated with the application of marine vessels as substitutes for heavy-duty trucks operating in the Great Lakes region. The geospatial model integrates U.S. and Canadian highway, rail, and waterway networks to create an intermodal network and characterizes this network using temporal, economic, and environmental attributes (including emissions of carbon dioxide, particulate matter, … Show more

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Cited by 21 publications
(16 citation statements)
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References 9 publications
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“…CO 2 and SO x EFs were calculated from ULSD carbon content, sulfur content, mass density, and vehicle fuel economy. 55 EFs for alternative fuels were calculated by multiplying the baseline ULSD EF by an EF ratio found in studies focusing on Class 8 HDVs. 1,2,12,56 -59 It is noted that vehicle characteristics differed slightly within the cited literature, although these variations were negligible and present a limited degree of uncertainty.…”
Section: Analytical Approach: Tfc Analysismentioning
confidence: 99%
“…CO 2 and SO x EFs were calculated from ULSD carbon content, sulfur content, mass density, and vehicle fuel economy. 55 EFs for alternative fuels were calculated by multiplying the baseline ULSD EF by an EF ratio found in studies focusing on Class 8 HDVs. 1,2,12,56 -59 It is noted that vehicle characteristics differed slightly within the cited literature, although these variations were negligible and present a limited degree of uncertainty.…”
Section: Analytical Approach: Tfc Analysismentioning
confidence: 99%
“…The transportation analysis was conducted with ESRI's ArcGIS 10.0 and the Network Analyst extension, and the geospatial intermodal freight transport (GIFT) model. GIFT is an ArcGIS extension, developed by the Rochester Institute of Technology and the University of Delaware, that integrates into Network Analyst, allowing the user to input economic, emission, fuel, load, and engine characteristics for trucks, railroad engines, and ships to calculate pollution emissions and transport costs (28,29). Truck, rail, and ship parameters are input by the user or pulled from predetermined vehicles stored in a growing transportation library.…”
Section: Research Approach and Methodsmentioning
confidence: 99%
“…Bryan Comer et al report delivery times at least four times longer by ship as compared to truck. 20 Conversely, a shipper might find it worthwhile to pay a premium for a truck to ensure direct delivery of a time-sensitive load. Shipping rates vary with the timeliness of delivery, and sometimes shippers are willing to pay more for speed; each day of transit time is equivalent to an ad valorem tariff between 0.6 and 2.1 percent.…”
Section: The Transport Problemmentioning
confidence: 99%