Capability Index: Applying a Fuzzy-Based Decision-Making Method to Evaluate Social Inclusion in Urban Areas Using the Capability Approach

There is rising interest in re-evaluating transport policy, moving away from analysing concrete economic indicators and towards examining the number of persons participating in activities as ‘social justice.’ So, using the Capacity Approach, this study presents an aggregated model to calculate the level of capability in two neighbourhoods in Tehran, Iran, involving variables from the ‘Individuals’ and ‘Environment’ dimensions. The computed factors were then weighted by the Fuzzy AHP technique based on the opinion of Iranian and international experts and combined to produce the final Capability Index (CI). CI results show that residents of the central business district, with an average of 0.628, had a 20% higher CI than residents of the city's outskirts, with 0.483. Furthermore, CI values corroborate prior research results that individuals with higher income, education level, and work position, in addition to higher individual capacity, benefit from a better neighbourhood environment. Also, calculations show that the neighbourhoods are not environmentally accessible for people with disabilities, and this group is suffering from low external capability. Additionally, the model estimates different levels of CI to evaluate the current status and prioritize future urban projects, so the model can be helpful for policy-makers to investigate the capability dimensions separately and decide about future plans.