Data visualization

Dashboard: evaluation

We will design a dashboard based on the experience developed by LIVE (KiNaMo indicator system by Blond et al., 2024) and by IPR (Nguyen-Luong et al., 2024). The following types of information will be considered: mobility, land use, and pollution indicators, in alignment with the three pillars of sustainable development (economic, environmental, and societal). We will consider both pollution generated by households heating and economic activities, and the effect of pollution on household location choices and welfare. The following dimensions will be represented: descriptive analysis, socio-economic factors, and equity considerations. Three scales will be considered: individual, local (including efficiency and accessibility measures), and global (for the entire study area). By contrast to aggregated pollution and equity indicators provided by the OECD and World Bank, we will compute disaggregated indicators (at the individual level), and then aggregate them. The treatment of inequalities (distribution of compensating variations, Lorenz curve and Gini coefficient) will be based on the theory developed in de Palma et al. (2024) and on empirical methodology investigated in de Palma, et al. (2005). The losers of a policy will also be represented, even if they are often overlooked in aggregated measures. The dashboard (including the list of indicators to visualize and webmaps) will be designed through a collaborative learning-by-doing process mobilizing all the partners, stakeholders and future users. Less technical results will be accessible to a general public, via the websites of IPR and HARMONIC. Our dashboard will evolve over time, and last beyond the end of HARMONIC.