MOVES is the current emission inventory model developed by the Environmental Protection Agency (EPA) for estimating mobile source emissions. This model is very data intensive compared to its predecessors and definitive guidance has not yet been provided for doing regional analyses. There is reliance, in many cases, on using national default data. The impact of the assumptions and pre-processing of input data have not been well studied or if they have, not well documented. New technologies and sensors now in use by many transportation agencies could be a rich source of regional data.
This research has compared the current conformity analysis for a county in Delaware and selected alternatives for five of the more significant inputs to the MOVES model. This work analyzed average speed distributions, vehicle miles travelled by road type distribution, temporal distribution of vehicle miles travelled, vehicle starts estimation, and future vehicle population and age distribution. For each input the current data and pre-processing methods were compared to an alternative based in easily obtainable data and the impact on the emissions inventory. Some of the alternative methods showed small changes on the inventory, while some provided a significant reduction.
This research will be useful to agencies that must utilize the MOVES model. It will be clear which inputs require precise, local data and which inputs where either default or simplified data is sufficient. The findings of this research could be used by EPA as guidelines for implementing the MOVES model.
|Advisor:||Lee, Earl E.|
|Commitee:||Attoh-Okine, Nii O., Byun, Joon H., Corbett, James J., Gao, Frank F.|
|School:||University of Delaware|
|Department:||Civil and Environmental Engineering|
|School Location:||United States -- Delaware|
|Source:||DAI-B 75/06(E), Dissertation Abstracts International|
|Keywords:||Environmental protection agency, Mobile source emission inventory models, Moves|
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