Capturing the dynamics of a mobility system under transition:


A System Dynamics Tool

Cost Based approach

Introduction
The main aim of this step is to provide concrete estimations on the dynamic effect of a specific policy action or measure on the urban mobility environment. Towards this aim, a cost-based approach was followed through which the variables of the system are expressed in costs by using the functions identified in the context of SPROUT.

The main outcome of this analysis is the calculation of the costs generated to a city's sustainability area (economy, environment, community and the mobility) by the tested measure and a chosen set of policy responses and cross-compare those with the future mobility states estimated in do-nothing scenarios.

In order to assess the future cost of the tested measure, two different future scenarios are implemented together with the current situation. Specifically:
1) The current situation of the city (CS: Current Situation),
2) Scenario that city doesn't take any action (DN: Do Nothing),
3) Scenario that city implements a measure and supports it with a set of policies (PR: Policy Response).

Hereby you can read an introduction of SPROUT pilot cities and check the animated city profiles here (and detailed here).

What is the purpose of the module?
Assuming that a city wants to test a policy measure with an expected impact on modal split and kilometres driven. The scope of this module is to assess the policy package that the city has selected to support the effectiveness of the measure and enhance its potential scale-up.

Research Question: What will be the final impact of the city's mobility state after applying the selected policy package?

🔗And you can also check the deliverable "D5.2 Urban policy system dynamics model" here.



Instructions

How to calculate the future cost of a measure and the estimated savings?
(approx. 15-20 mins)

In the following model fill:
- General information about the city (Population, commuting distance, etc.)
- The variables needed (e.g. modal split, etc.) at CS, in DN and in PR scenarios.

View video

General information

City information

years
%
km
people/km²
km²

Scenario: Current Situation (CS)

If you select a city, specific values will be filled based on the analysis that was done in SPROUT

0%

-% Car

-% PT

-% Freight

-% Scooter

Scenario: Do Nothing (DN)

Selected city: -

0%

-% Car

-% PT

-% Freight

-% Scooter

Scenario: Policy Response (PR)

If you select a use case, specific values will be filled based on the analysis that was done in SPROUT

0%

-% Car

-% PT

-% Freight

-% Scooter