Highlights Review of five models to estimate emissions from rail freight transportation. Supports the evaluation of the eco-friendliness of rail freight transportation. Models: MEET (empirical and steady state), ARTEMIS, EcoTransIT World, and Mesoscopic. Experiments demonstrate each model’s results for varying train and trip parameters. Python implementation of the models is available in the supplementary data.
Abstract This study reviews emission estimation models that aim at providing realistic estimates of the emitted greenhouse gases from rail freight transportation. Five models are considered: two models from the MEET project, the ARTEMIS model, the EcoTransIT World model, and the Mesoscopic model. For each of the five models, this paper describes the estimation principles, methodology, and procedure, as well as relevant input parameters. An experimental study demonstrates the impact of train and trip specific parameters on each model’s emission estimate. Results are presented for varying values of a train’s number of wagons, the payload per wagon, the average speed, the trip distance, the number of stops, and the altitude profile along the route. In so doing, given a specific transportation scenario, the paper supports decision makers from industry and researchers to find and apply an appropriate emission estimation model for evaluating the eco-friendliness of rail freight transportation.
Comparing emission estimation models for rail freight transportation
2020-01-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Transborder Rail Freight Transportation
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