Framework Programme 6, Call 1A Thematic Priority 1.6.2, Area 3.1.2, Task 1.10 Instrument: Co-ordination Action + Additional Research
Criteria weights Targeted survey among experts and stakeholders (89 respondents) Base weight profile
Assessment of scenarios REFERENCE SCENARIO
Assessment results by model ASTRA- Oil price effect
Assessment results by model ASTRA- Policy effect
Assessment results by model... ¿selection of models? Too many slides if all are included
Concluding remarks (I) • Energy and environmental criteria improve when fuel price increases and policy measures are implemented, in all the models considered. • Demand regulation measures have shown to be more effective than technology investments in terms of energy and environment criteria,.. • The predicted effect in social criteria is not as straightforward. In general terms, safety indicators improve in all scenarios, whereas the result on spatial equity indicators depends on the model considered • Both fuel price increases and modelled policies result in higher transport costs, mobility constrains and reduced accessibility, which leads to a deterioration of competitiveness criteria.
Concluding remarks (II) • The trade-off between energy, environment and social criteria, on the one side, and competitiveness criteria, on the other, is a key factor in the design of any integrated Energy and Transport Policy: • ... to what extent can economic growth be threatened in order to achieve environmental or social goals? • STEPS provides the decision-maker with consistent and reliable information on the predicted effect of different sets of policy measures. With this information, it is his/her duty to select the more appropriate strategy.