SHOW POLICY SUPPORT TOOL FOR CITIES

The LEVITATE policy support tool (PST) is an open-access, online-based system that provides users with access to the LEVITATE methodologies and results​.

The LEVITATE PST provides decision support on CCAM-related interventions, of City Authorities, transport experts, and interested citizens.​

This freely accessible tool provides the possibility of interactive use by comparing several different parameters & scenarios and reducing uncertainty during the decision-making process. 

Role in SHOW

The LEVITATE PST has been selected because it already contains some key features, such as: 

• It was designed to support decision-makers of cities & regions, as well as public transport authorities and operators.

• It is accessible freely online and can be used by decision-makers and/or any organizations interested in the topic.

• It includes several degrees of complexity and personalization which allows to obtain results with a variable level of precisions, depending on the quality and amount of the input data.

• It was designed to be usable in several European cities.

• It was developed by SHOW partners in the framework of other EU-funded projects, namely NTUA (LEVITATE).

As mentioned in D17.1, the LEVITATE Policy Support Tool appears as a good basis and source of inspiration since it focuses on CCAM policies in urban areas. The PST provides a solid basis to develop a system able to guide policymakers on the relevance of their CCAM-related policy measures – especially when it comes to cities that wish to include CCAM into their respective sustainable urban mobility plans (SUMPs). 

Please find the necessary information for using the tool below

Forecasting

The users can estimate the impact of CCAM on their cities.  

Steps of the Forecasting Analysis​ 

1. Select one or two policy interventions​ 
2. Select the CCAM deployment scenario​ 
3. Define the policy intensity and policy effectiveness through the years 2020-2050​ 
4. Adjust the initial PST values of the parameters and impacts​ 
5. Provide input in terms of temporal implementation of the measure(s) for the system to take into account by adjusting the response curves of the impacts​ 
6. Receive the results, in form of table with analytical results and curves presenting both results for the baseline scenario (no intervention) and for the selected policy intervention(s) 

Forecasting info before using the tool

Based on your local climate objectives/SUMPs, please gather the data needed for the exercise:​ 

Table 1: Parameters for the forecasting tool 

Table 2: Indicators for impact in the forecasting tool 

Backcasting 

The users can find the most appropriate combination of CCAM technologies and measures to provide specific policy objectives – which could be relevant to defining their sustainable urban mobility plans (SUMPs).  

Steps of the Backcasting Analysis​ 

1. Selection of target year between 2020-2050​
2. Selection of CCAM deployment scenario​
3. Definition of the desired policy vision described in terms of desired values in 1 (minimum) to 5 (maximum) impacts as well as the desired values for each of the selected impacts​
4. Adjust the initial PST values of the parameters and impacts​
5. Receive the results, in the form of a table where all policy interventions are presented with the characterization “true” or “false”, based on the potential to reach the desired policy vision

Backcasting info before using the tool

Based on your local climate objectives/SUMPs, please gather the data needed for the exercise:​ 

Table 3: Indicators for target impact in the backcasting tool

Other supporting materials can be found here.