GIS-based identification and visualization of multimodal freight transportation catchment areas
نویسندگان
چکیده
Abstract To estimate impacts, support cost–benefit analyses, and enable project prioritization, it is necessary to identify the area of influence a transportation infrastructure project. For freight related projects, like ports, state-of-the-practice methods such areas ignore complex interactions among multimodal supply chains can be improved by examining trips made from facility. While travel demand models trips, they may not contain robust depictions water rail, do provide direct observation. Project-specific data including local traffic counts surveys expensive subjective. This work develops systematic, objective methodology “freight-shed” (or “catchment” areas) for facility vehicle tracking demonstrates application with case study involving diverse port terminals. Observed truck Global Positioning System maritime Automatic Identification are subjected pre-processing algorithms handle noise, cluster stops, assign points network (map-matching), address spatial temporal conflation. The method applied 43 terminals on Arkansas River miles hours travelled, origin, destination, pass-through zones, modal overlap within catchment areas. Case studies show that 100-mile diameter include between 15 34% freight-shed mined data, demonstrating adoption an arbitrary radial different ports would lead inaccurate estimates benefits.
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ژورنال
عنوان ژورنال: Transportation
سال: 2021
ISSN: ['0049-4488', '1572-9435']
DOI: https://doi.org/10.1007/s11116-020-10155-3