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Consortium meeting 2/3/2006. WORK UNDERWAY IN WP5. Andrés Monzón, Paul Pfaffenbichler, Elena López, Andrés Olmo UPM-TRANSYT www.transyt.upm.es. Structure of the presentation. DRAFT TOCs Foreword/Abstract/Executive summary 10 pages Introduction to the STEPs Project 5 pages
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Consortium meeting 2/3/2006 WORK UNDERWAY IN WP5 Andrés Monzón, Paul Pfaffenbichler, Elena López, Andrés Olmo UPM-TRANSYT www.transyt.upm.es
DRAFT TOCs Foreword/Abstract/Executive summary 10 pages Introduction to the STEPs Project 5 pages Part I: The STEPS framework50 pages 1. State of the art (D1) 2. Trends transport/energy (D2) 3. PEST analysis (D2) Part II: The STEPS assessment approach 40 pages 1. The scenarios (D3) 2. The modelling system (D 4.1) 3. The MCA framework (D 5.1) Part III: Model outputs (D4.2) 70 pages Part IV: Scenario assessment (D5.2) 40 pages Part V: Conclusions and policy recommendations (D6) 20 pages PROPOSAL: STEPS FINAL REPORT Join resources from WP5-6-9 to publish a “book” Final Report
Foreword/Abstract/Ex. summary (UPM-BCI-KUL) Part I: The STEPS framework(KUL-novem) 1. State of the art (D1) 2. Trends transport/energy (D2) 3. PEST analysis (D2) Part II: The STEPS asessment approach (BCI) 1. The scenarios (D3) (KUL) 2. The modelling system (D 4.1) (TRT-S&W) 3. The MCA framework (D 5.1) (UPM) Part III: Model outputs (D4.2) (TRT-S&W) Part IV: Scenario assessment (D5.2) (UPM) Part V: Concl. & recom. (D6) (UPM-KUL-BCI) PROPOSAL: WORK ALLOCATION UPM Co-ordination Ready to distribute in STEPS Final Conference partial deadlines? TRL+ITS English check TTR+BCI Editing+printing
TIMETABLE for Book • 3.III BRATISLAVA • 15.IV part I & II – KUL & BCI (Novem?) • - completing surveys • 20.IV part III + part IV (TRT+ UPM) • 30.IV part V – part 0 (BCI + UPM) • 15.V assembling all parts • 18.V LEUVEN • (1 month printing English checking and transporting) • 15.VI GOTHENBURG
WORK UNDERWAY IN WP5 • Deliverable 5.2 • Chapter 1: Introduction (UPM) • Chapter 2: Analysis of model outputs (TRL) • Status: draft completed. To be checked by TRT/S&W/ITS • Chapter 3: Assessment of scenarios (UPM) • Status: under development • Chapter 4: Sensitivity analysis (BCI-TRL) • Status: starting after Bratislava meeting
WP6: CONCLUSIONS AND POLICY GUIDELINES RELATIONSHIPS WITH OTHER WPs EU POLICY SCENARIOS-POLICY STRATEGIES WP3: DEFINITION OF SCENARIOS WP5: EVALUATION AND ASSESSMENT OF SCENARIOS ACHIEVEMENT OF EU POLICY GOALS? WP4: SCENARIO IMPACTS MODEL OUTPUTS- PERFORMANCE INDICATORS
RESPONSES TO THE QUESTIONNAIRE • Low rate of anwers in some countries • Some missing • Finland Norway • Greece Denmark • Portugal Sweden • Switzertland • France • New acc. countries • Consistency • Further analysis • Regional • Economic level
Each model provides different indicators each model has a different weighting system Difficulty of providing a “common” value function for each indicator each indicator has a different value function in each model. No single model provides all the indicators it is not possible to compute a strict “global” utility value Scenarios are compared: individually for each model both in terms of each of the four criteria groups and “aggregated” Models are compared in broad terms: only the direction of the effect on utility values SOME PREVIOUS CONSIDERATIONS
1 Utility value 0 0,9*Least preferred value 1,1*Most preferred value PERFORMANCE MATRIX SCORES AGGREGATION CRITERIA WEIGHTS VALUE FUNCTIONS
COMPARISON ACROSS SCENARIOS AND/OR MODELS OIL PRICE EFFECT POLICY EFFECT
ASTRA SCENARIO ASSESSMENT RESULTS
SASI SCENARIO ASSESSMENT RESULTS
POLES SCENARIO ASSESSMENT RESULTS
DORTMUND SCENARIO ASSESSMENT RESULTS
EDINBURGH SCENARIO ASSESSMENT RESULTS
S.TYROL SCENARIO ASSESSMENT RESULTS
HELSINKI SCENARIO ASSESSMENT RESULTS
BRUSSELS SCENARIO ASSESSMENT RESULTS
EUROPEAN MODELS FUEL PRICE EFFECT A-1=100 POLICY EFFECT
REGIONAL MODELS (I) FUEL PRICE EFFECT A-1=100
REGIONAL MODELS (II) POLICY EFFECT A-1=100
Some final considerations • Heterogeneity among models difficults their comparison • Fuel price increase & modelled policies generally improves Energy, Environment &Social criteria. • However, they reduce economic growth and constrain mobility in most cases: reduces competitiveness: which is the trade-off?? • Policy effects: demand regulation performs better than tech.investments in energy&environment criteria • Planned sensitivity analysis to criteria weights