The overall methodological approach is based on taking a clustered integration approach of global indicators into the context of sustainable cities and communities. This integration follows a similar approach used on other frameworks such as within the 5 pillars of sustainable development or DESTEP method . Nonetheless, the importance of this proposed framework is that it not only considers both the 5 pillars of sustainable development, but also takes into account the importance of combining both health and development of cities & communities. As such, this clustered integration of global indicators will be based following the criteria that constitutes the Sustainable Well-being Index performed in other studies, where three scales (Sustainable, Fair Distribution & Efficient Allocation Scale) have been determined using an Ecological Economics Framework .
Adding to this, a Progress Tracking of each global indicator is to be amended in this methodological approach as part of the proposed framework. These will allow to obtain a regression behavior of the collected data published from sources such as the ones currently used from the Sustainable Development Goals framework , Social Progress Index  and community data, to foresee trends and predict outcomes. A case study, such as the performance of the UK, or any other country as find appropriate, will be selected for the purposes of assessing this methodological approach. By grouping these global indicators into the proposed 3 scales, and by evaluating its progress tracking, synergies between indicators, correlation coefficient, statistical significance of each, co-benefits & trade-offs, and priority index variables will also be considered into the proposed framework. The importance of this methodological approach lies in providing a prioritized set of global indicators that addresses current challenges the community can tackle to support the performance of the city by relying on Digital Twin modeling to define projects and metrics that can allow measurement of sustainability in the built environment and infrastructure planning. Figure 1 presents the proposed methodology workflow for this framework divided into 4 main areas as color coded.