Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport
Julie Prud'homme, Didier Josselin, Jagannath Aryal - University of Avignon
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Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport
1. Pollutant Emissions and DRT Systems Towards the Integration of a Spatial Dimension in the Estimations Julie Prud’homme, Didier Josselin, JagannathAryal julie.prud-homme@etd.univ-avignon.fr UMR ESPACE – CNRS 6012 – University of Avignon
14. Emission Models MEET (Methodology of Emission Estimation from Transports) set up at the conclusion of an European collaboration [J.Hickmanet al. (2003)] GREEN-DRT model (Geographical Reasoning on Emission Estimation from transports based on road Network shape) adapted from MEET [J.Prud’homme (2011)] 14
22. Simulations Simulation of a DRT in three different scales (different density of stops) 22 Level 1 : Britany 34 stops ; 0.0013 stop/km² Scale = 1:7500000 Level 2 : Agglomeration of Rennes 33 stops ; 0.054 stop/km² Scale = 1:800000 Level 3 : City of Rennes 79 stops ; 1.58 stop/km² Scale = 1:130000
23. Simulations Scalability(number of client demands) Grouping rate (deviation time allowed) Unlimited number of vehicle in fleet 50% gasoline, 50% diesel 23
24. Results y = 29,47x-1,298
R² = 0,7953 y = 47,559x-1,411
R² = 0,7356 Confirmation of a reduced vehicles number and emissions with the increased grouping rate 24 Grouping average in actual DRT services in Europe 1,3 2 1,3 2
30. Pollutant Emissions and DRT Systems Towards the Integration of a Spatial Dimension in the Estimations Julie Prud’homme, Didier Josselin, JagannathAryal julie.prud-homme@etd.univ-avignon.fr UMR ESPACE – CNRS 6012 – University of Avignon