The CIVIC project has a strong focus on collaboration and iteration between work packages. Applied research is carried out following three different approaches, with a focus on developing concepts and methods for 1) participatory decision-making (MAMCA), 2) optimizing logistics processes and 3) smart governance.
These approaches are closely connected to the demonstrations and the assessments carried out in the demonstrations for two reasons: first, as the work related to these approaches provides the concepts that are demonstrated; and second, the assessment of the demonstrations is used for further improvements and adaptations on the concepts (iteration process).
Multi-actor, multi-critera analysis
A conceptual framework for stakeholder involvement will be set up based on the MAMCA (multi-actor, multi-critera analysis) methodology and facilitated through an online decision-making platform using an innovative MAMCA software that provides an interactive method for weighting stakeholder objectives, evaluating options and providing easy-to-understand visualizations of evaluation outcomes. The MAMCA methodology will be enhanced and adapted for CIVIC as follows:
- Stakeholder identification: provide more accurate representation of stakeholders through the identification of specific subgroups by clustering them into relevant groups based on available data (e.g. age (citizens), delivery frequency (companies), etc.) to increase the representativeness of all stakeholders involved.
- Problem identification: develop structured way of identifying the problems involved in increased stakeholder participation (local knowledge of citizens and specific needs of contractors/LSP).
- Co-creation of alternatives: create alternative solutions together with stakeholders (including citizens). This also provides the framework conditions for scenario evaluation and optimization in WP2.
- Identification of stakeholder objectives and criteria: combine interactive workshops and an online participatory platform to assess the importance (weight) of the stakeholders’ criteria.
- Estimation of impacts of alternatives: assess how the impact of alternatives can be estimated with respect to stakeholders’ criteria through stakeholder input concerning indicator selection and data provision.
- Results, visualization and feedback loop: enhance involvement of stakeholders into discussion of results by providing them with visualizations of outcomes and an online and offline (workshop) forum for discussion. Feedback on evaluation outcome to WP2, where detailed logistics solutions are optimized.
The adapted MAMCA framework will be applied to the demonstration projects and will also provide input for the smart governance concept.
Contact: Tom van Lier, Vrije Universiteit Brussel, +32(0)2-219 20 67, email@example.com
Dynamic logistics optimization
The objective of the dynamic logistics optimization approach is to implement a holistic and system-optimal approach for logistics optimization, based on real-time data collected through smart applications and stakeholder consultation. More specifically, dynamic logistics optimization will (i) address the challenges of coordinating workers and the timely delivery of material with the objective of optimizing energy efficiency and reducing traffic, (ii) assess the impacts of alternative measures with regard to sustainability criteria, (iii) support participatory decision-making by providing accurate insight into the consequences for and of construction-related transport.
Contact: Pamela Nolz, AIT Austrian Institute of Technology, +43(0)50550-6689, firstname.lastname@example.org
Smart governance concept
The objective of the smart governance concept approach is to develop smart governance strategies that enable the effective use of energy-efficient logistics processes and participatory decision-making in urban development projects. This approach focuses on the successful implementation of the tools that are developed in the other approaches and integrates the practical experiences gained through the demonstrations.
Contact: Anna Fredriksson, Linköping University, +46(0)11-36 33 08, email@example.com