摘要: |
Freight transportation represents an economically important and fast-growing activity that threatens the resiliency of transportation corridors in many dimensions. Congestion and capacity issues are changing intermodal transportation operations, and increased freight volume add stressors to energy and environmental impacts that require innovative management decisions. The project develops a Geospatial Intermodal Freight Transportation Model (GIFT) that integrates three freight transport modes (road, rail, water) in a single Geographic Information System (GIS) network. This will allow users to conduct route analyses based on such network attributes as: cost, time, distance, energy use, and emissions. Dynamic and visual analysis of these characteristics using an innovative, dynamic, network optimization model supports decision-making associated with freight transport facilities of national significance. The model can be used to evaluate: i) economic, energy, and environmental impacts associated with freight movement; ii) decisions related to various highway and intermodal facility infrastructure decisions; and, iii) decisions aimed at improving highway use efficiency. This project develops Delaware regional analyses of multimodal freight activity for the I-95 corridor, the Northeast Rail corridor, and the Port of Wilmington. The project characterizes freight transportation data and conduct a validation/case analysis for the region, and the project will work to improve the empirical quality of the waterway network. In addition to regionally important insights, this University of Delaware, University Transportation Center (UD UTC) support will expand capacity at the University of Delaware to complement collaborating partners at Rochester Institute of Technology as the project works jointly to design and deliver research that will provide a springboard for a high-end, web-enabled modeling system available to agencies and transportation researchers. |