2009Unpublished venueRequires access

Freight Emission Modeling Framework Phase One: Generating County-Level Freight Data Using Public Sources

Minyan Ruan, Jie Lin

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Abstract

This is phase one of a multi-year research project funded by the National Center for Freight and Infrastructure Research and Education (CFIRE). The overall objective is to develop a regional freight planning model which can be applied to regional freight emission modeling. Analogous to passenger travel models, a regional freight planning model will require good quality regional freight survey data, the availability of which has been one of the biggest obstacles in freight modeling. As the NCHRP Synthesis 298 puts it, "the state of the practice in truck trip generation data is fairly primitive compared with trip generation data practices used in analyzing passenger vehicle movements".

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What this paper is about

This is phase one of a multi-year research project funded by the National Center for Freight and Infrastructure Research and Education (CFIRE). The overall objective is to develop a regional freight planning model which can be applied to regional freight emission modeling. Analogous to passenger travel models, a regional freight planning model will require good quality regional freight survey data, the availability of which has been one of the biggest obstacles in freight modeling. As the NCHRP Synthesis 298 puts it, "the state of the practice in truck trip generation data is fairly primitive compared with trip generation data practices used in analyzing passenger vehicle movements".

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Available abstract

This is phase one of a multi-year research project funded by the National Center for Freight and Infrastructure Research and Education (CFIRE). The overall objective is to develop a regional freight planning model which can be applied to regional freight emission modeling. Analogous to passenger travel models, a regional freight planning model will require good quality regional freight survey data, the availability of which has been one of the biggest obstacles in freight modeling. As the NCHRP Synthesis 298 puts it, "the state of the practice in truck trip generation data is fairly primitive compared with trip generation data practices used in analyzing passenger vehicle movements".

Key concepts: Truck, Transport engineering, Traffic management, Traffic planning, Business, Computer science, Engineering, Automotive engineering

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