In.FLOW.ence was a transnational project co-funded by the European Commission within the MED programme running from June 2010 until May 2013. It was carried out by a partnership of 10 organizations coming from 8 EU members, mainly concentrated in the Mediterranean region, representing key actors of a larger community of institutions, stakeholders and civil society on a local and regional level. The project aimed at strengthening of the competitive potentials of the territories by creating and supporting functional links between centre and sub centres and integration process of different development aspects. It defined the polycentricity as a strategic concept to foster territorially integrated, sustainable regional development and economic restructuring of urban regions. The focus was on how morphological polycentricity, which simply describes a pattern of regional distribution of cities in towns in relatively close proximity, can be transformed into functional polycentricity with multi-scale flows of people, goods, services, and knowledge between the parts of the region. Increasing these various flows was seen as essential to innovation and economic resilience as they generate agglomeration economies. The objective was the efficient management of local economic growth and the improvement of the general quality of life in the urban centres of the MED area and in their surrounding, through the creation of an innovation-based knowledge network for the city economy. The main target was to facilitate the active and sustainable collaboration of local interested parties in order to establish growth, collaboration and networking but also to increase the understanding how the spatial, economic and social conditions should be linked together for sustainable territorial development. For this reason project partners were to map and analyze the potential for functional polycentricity in their case areas and put all the data gathered into the Resource center that was built as a common database with the aim to address and analyse various spatial problems in various scales. As a support for these processes the groundwork for the In.FLOW.ence Model for territorial governance was developed - Model for simulation and valuation of quality of living In.FLOW.ence project has also investigated how inclusive and participative governance can contribute to a balanced spatial and sustainable development within the regions by involving three levels of actors: broader society, local institutions and economic key actors.

- Output capitalised in the Shapes:

In.FLOW.ence Model for territorial governance - Model for simulation and valuation of quality of living

The main issue of the model was to enable a comprehensive approach towards understanding and supporting the effective interdependence between spatial characteristics, economic possibilities, and social values, living and working needs of people and routines and quality of life (living and working environment). The starting point has been that the time matters a lot, not only regarding its quantity available or spent for certain activities to achieve desired results, but also its quality. That means, is it spent in a good or a bad way according to society or personal values. The model takes into consideration that different environments can offer different possibilities to different people (or companies) with different economic possibilities and quality of life (and work) values. The comprehensive structure that is taking into consideration all the aspects of the subject we are dealing with, as well as spatial values for the activities in focus, and offers the possibility to make different scenarios of possible decisions demonstrating different possible development. Model development process represents a set of necessary steps where the first steps are characteristic for their descriptive nature, while further and final steps are characteristic for the decision-making character. There are four basic steps recognised: • Provision of adequate database (e.g. demographic, socio-economic data). • Identification of the profile(s) (e.g. users). • Definition of the scenario for each studied profile (e.g. minimal and optimal scenarios for each selected profile). • Valuation of the location. This step is characteristic for interpretation of the scenario and its effect on spatial development of the area regarding the hypothesis tested with the scenario. There are several levels of results possible that are linked to locations and to profiles. Thus, they enable to compare profiles within different locations of an area or suitability of certain location in the area for various profiles. They show suitability of a certain location for living for a chosen profile in comparison with some other location for the same profile; or show suitability of a location for one profile in comparison to another.

- Results achieved

The model was tested on a case study Posavje in Ljubljana that was analyzed within the Pilot Project 1 of the In.Flow.ence project. To have testing as clear as possible we have chosen to do it with the profile of an elderly person that was defined specially for testing needs in this phase of model development. The idea was to examine, how well can a representative of a defined profile, living in the studied area, fulfil his/her routine to meet satisfactory three basic activities: necessary daily routines, needs for services and leisure and recreation Assessment of quality of living environments via quality of time for an elderly person was modelled. Time and economic balance of the profile was assessed as positive. Time quality assessment for a daily routine of a profile living in three different locations within the area was simulated via model. There are several levels of results. Basic outputs are: • data on time balance, • data on economic balance, • data on time quality balance

- Evaluation

The model developed has proved to be a good and innovative step towards the more comprehensive assessments of quality of living and working environments of certain areas and thus towards recognizing quality of life, innovation and sustainable development potentials of different cities and regions. The model offers a common way in addressing spatial development and territorial issues of polycentricity. For any spatially related problem or territorial development three main characteristics related to the problem are measured: time balance, economic balance and time quality balance. These three characteristics represent the common denominator with which any spatial problem is addressed. Illustration of such model was shown in detail at a local level (including flows which influences life at local level from bigger scales): living of elderly resident in the concrete area. Model description shows also how it can be applied for other scales and/or issues (see attachment). There are also typical routines which are applicable in (almost) every case; e.g. time distance.

- Lessons learnt

Resource centre is a heterogeneous base of various data. They were gathered in order to address and analyse various spatial problems in various scales (as presented in PP1). Being aware of all types of issues and data related to them in each project of partners, it soon became clear that development of unique/single software reflecting the model was not possible. However, the effort was put into a search for a common denominator when addressing territorial development and flows (centre - periphery, city - city). Having set up the model, the resource centre is the base for description of any of the necessary characteristics describing the phenomena analysed with the model, i.e. time balance, economic balance and time quality balance. The variety of spatial problems (addressed by partners as the case study – PP1) was very wide and heterogeneous to be able to address and solve them with a simple automatic process. Therefore the achievement of the model is in defining a common denominator to this heterogeneity. This means that for each single situation (territorial issue or development) variables with which three main characteristics representing the common denominator must be found.