In this paper, they present the strategic transport policy assessment instrument high-tool. Something has developed the model for the European Commission, allowing policy-makers to identify the most helpful transport policies. The main innovation of this policy assessment tool lies in integrating originally independently functioning models. The model is an open source tool; it is freely available and requires none commercial software to run. It can also comparatively easily made responsive to “new” policies are not in the current’s scope model version. Read this article about a strategic assessment tool for testing EU transport policies.
Introduction and policy context
A strategic assessment tool for testing EU transport policies. Transport policy measures can lock up capital for decades and cause manifold external effects and indirect effects in many sectors. This paper summarizes the structure, a modeling approach and application aspects of the HIGH-TOOL model. The tool’s output indicators largely align with assessment indicators of EU policy documents such as the EU’s Impact Assessment Guidelines. Emphasize the increasing importance of impact assessment tools as decision support instruments for policymaking.
The focus is attaché to Europe, and particularly to the Member States of the European Union. They align the HIGH-TOOL baseline or business-as-usual scenario with the EU Reference Scenario 2013. The urban demand sub-module additionally considers urban bus, urban tram/metro, cycling and walking. It programmed the User Interface as a stand-alone online application based on angular is and useless. They realize the HIGH-TOOL Database that stores input, output data and modeling parameters of all modules as a pastor SQL database with Portuguese extension. A strategic assessment tool for testing EU transport policies.
The Demography module calculates the regional population and labor force in the 28 EU Member States and in Norway and Switzerland. They derive the population and labor force from the Euro-pop assumptions on demographic trends. The projected population values from the EU Reference Scenario by country are disaggregated to geographic zones based on historical demographic trends concerning population development. It bases regional disaggregation of the population excluding migration on the 2010 historical regional distribution. It aligns the results of the Demography module with the expected economic development in Europe. A strategic assessment tool for testing EU transport policies.
A strategic assessment tool for testing EU transport policies: Vehicle stock module
Vehicle types include propulsion and fuel technologies, and the module embraces 61 road and 12 non-road vehicle types. It provides fleet stock forecasts at country and region for each of the 28 EU Member States and for each period up to 2050. It calculates taking into account the transport demand and the vehicle stock in the previous period, and the vehicles that survived in the current period. This calculation produces detailed existing vehicle stock in the current period. It aligns the method underlying the Vehicle Stock module with TRACCS.
The key variables in this calculation are fuel consumption or fuel intensity, and emission factors or emission index. Disaggregate to zones based on the share of transport demand in each zone. First, the predicted transport demand segmented by country, mode and fuel type is disaggregated by vehicle type and vehicle technology. Data on fuel consumption and emission factors for all vehicle age cohorts are available for the year 2010. It drives fuel consumption and emission factors of older vehicles from the dataset for the previous period. A strategic assessment tool for testing EU transport policies.