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Development of a California Geospatial Intermodal Freight Transport Model with Cargo Flow Analysis.
| 题名： | Development of a California Geospatial Intermodal Freight Transport Model with Cargo Flow Analysis. |
| 关键词： | geospatial；development；modal；analysis；argo；transport；flow；model；inter；lifo |
| 摘要： | This project further develops the Geospatial Intermodal Freight Transportation (GIFT) model, configures the model with California-specific data, and uses the configured model in a case study of the possible benefit of shifting freight transportation from trucks to rail. The result is a model that describes the energy and environmental impacts of goods movement through California's marine, highway, and rail systems. The GIFT research team has employed a Geographic Information System (GIS)-based model that integrates three transportation network models (road, rail, water), joined by intermodal transfer facilities (ports, railyards, truck terminals) in a single GIS intermodal network modified to capture energy and environmental attributes. A Case Study was performed to explore the difference in emissions under Least-travel-time versus least-CO(sub 2) routing of goods movements, identifying how emissions savings can be achieved through modal shifts from road to rail. The Case Study estimates CO(sub 2) emissions to be approximately 2.89 million metric tons (MMT) of CO(sub 2) attributable to the container traffic of the three major West Coast ports (LA-Long Beach, Oakland and Seattle) using a least-time scenario (which comprises mostly trucks). Our estimation of a total reduction of approximately 1.7 MMT of CO(sub 2) occurs through a nationwide modal shift of West Coast port-generated goods movement; within California state air basins, this reduction is near 0.5 MMT CO(sub 2). Overall, this research demonstrates how the GIFT model, configured with California-specific data, can be used to improve understanding and decision-making associated with freight transport at regional scales. |
| 报告类型： | 科技报告 |
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