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Introduction

Estimating the total mileage at the National Level for France 1990-2005 : KILOM 2 model Zehir Kolli Ariane Dupont.

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Introduction

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  1. Estimating the total mileage at the National Level for France1990-2005 : KILOM 2 model Zehir KolliAriane Dupont

  2. Estimating the total mileage and its evolution by types of vehicles is a corner stone of the understanding of the mobility at the national level ; estimating road demand and its externalitiies in terms of road risk and pollution In France, we can estimate the road demand by two ways using the KILOM model and surveys as the NHS, Panels SECODIP and PARC AUTO, and also surveys on road sites. Introduction

  3. 1. Presenting the Kilom model: its aims, its conceptual architecture 2. Presenting the 5 modulus computing the monthly mileage at the National level: Fleet, Kilommoy, Conso, Fuel leak, Final modulus 3. The results for 1990-2005 Contents of the presentation

  4. What is estimated ? A monthly estimation of the road demand i.e. the total mileage on any find of road networks and for all kind of road engines For the whole French territory (excluding Corsica and the overseas territory An estimation putting in balance fuel deliveries and actual consumption of fuel Two estimations: An estimation for 1957 to 1994 by Laurence Jaeger as road risk exposure measurement for the TAG Model An estimation for 1990 to 2005 (being updated to 2006) with a simplified architecture 1. The KILOM model

  5. For 5 categories of vehicles 1/ cars for personal and professional uses 2/ pick up weighted under 5 tones 3/ trucks weighted over 5 tones (a distinction being set up between the 5t to 10t lorries and the lorries over 10t) 4/ bus and coaches 5/ motorized two-wheels 1. The KILOM model

  6. 1. The KILOM model • The conceptual architecture of the KILOM 1model :

  7. 1. The KILOM model KILOM 2 conceptual architecture

  8. Two steps of computation 1/ to collect and compute the input series (annual and monthly) 2/ to compute the monthly estimation by 5 modulus (output series) 1. The KILOM model

  9. Fleet : CCFA for annual fleet + monthly registration Kilommoy: CCTN for annual mileage, AFSA for monthly trucks mileage on higways, SECODIP for monthly mileage for light vehicles Leak: CPDP, Oil bulletin, CCTN Conso: SECODIP, Beauvais, CCTN, Ademe 1.The KILOM model : the DATA

  10. 1/ the FLEET modulus 2/ the KILOMMOY modulus which gives a seasonal index of mileage for each category of vehicles 3/ the leak modulus which computes the monthly correction of the fuel deliveries by the leak at the borders based on the monthly variation of prices 4/ the CONSO modulus 5/ the COMPUTATION modulus which gives a monthly mileage for each category of vehicles in France after calibration on fuel deliveries 1. The KILOM model

  11. 2a.The KILOM 2 modulus: the Fleet

  12. Annual DATA for the 5 categories: CCTN Monthly breakdown by computing seasonal coefficients with monthly data : SECODIP for cars and AFSA for trucks 2b.The KILOM 2 modulus: the Average mileage

  13. Laurence’s method with y being the mileage of month t

  14. Our method : moving average centered and reduced with

  15. A better understanding of the seasonal variation

  16. Monthly breakdown of cars: Due to the fact that the Secodip data are not monthly but quaterly since 1995 we have computed infra-quaterly coefficient based on available data for before 1995 and assuming a stability of seasonal behaviour over time such as COEFSAIt,m=CoefTRIMt,m *CoeffMens93-94 and then KIMMENSVPt,m=KVPt*COEFSAIt,m 2b.The KILOM 2 modulus: the Average mileage

  17. Monthly breakdown of trucks: Due to the fact that the data are annual from 1990 to 1991 Monthly from 1992 to 2002 Quaterly from 2003 to 2005 We have computed monthly coefficients for 1992-2002 and apply them to break down the series for the other years, according to the observed stability of the seasonal behavior of the series COEFSAIt,m=CoefTRIMt,m *CoeffMens92-02 and then KIMMENSPLt,m=KPLt*COEFSAIt,m Assumption : same seasonality for trucks and coaches 2b.The KILOM 2 modulus: the Average mileage

  18. 2c.The KILOM 2 modulus: the fuel leak, Laurence’s method

  19. Fuel consumption at the National level =Livraisons - (Quantités sortantes – Quantités entrantes) 2 kinds of fuel: gasoline (price is weigthed according to the fleet size between super and super 95) and diesel Variable to estimate : monthly fuel deliveries (CPDP data) Explicative variables : Prices (Oil Bulletin data), Difference between French prices and fuel prices (oil bulletin data) in contant euros,temperature (CPDP-Météo France), evolution of the fleet, 2c.The KILOM 2 modulus: the fuel leak

  20. Fuel deliveries

  21. Gasoline price stationarity

  22. Diesel price stationnarity

  23. 2c.The KILOM 2 modulus: the fuel leaks d=diess=signe(pf-pj )*√|pf-pj| Ѵ Ѵ12Logess=Ѵ Ѵ12 [μIpares + ξTemp + λd+ ρLog(Pxfess)]+ [Θ/Φ]*εt With:

  24. Gasoline leaksIt represent in average 0,53% of all gasoline deliveries for the period 2000 to 2005. Elasticity price of deliveries 8,35% for gazoline.

  25. 2c.The KILOM 2 modulus: the fuel escapes Ѵ Ѵ12Logdies=Ѵ Ѵ12 [μIparc + ξTemp + λd+ ρLog(Pxfdies)]+ [Θ/Φ]*εt With:

  26. Diesel escapesIt represents in average 0,37% of all diesel deliveries for the period 2000 to 2005. Elasticity price of deliveries 4,70% .

  27. 2c.The KILOM 2 modulus: the fleet fuel consumption

  28. 3. The Kilom results: 1990-2005

  29. 3.The Kilom results: 1990-2005

  30. 3.The Kilom results: 1990-2005

  31. 3.The Kilom results: 1990-2005

  32. 3. The Kilom results: 1990-2005

  33. 3. The Kilom results: 1956-1995

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