EMC2
Company

EMC2

Community Development And Urban Planning Nice, Alpes-maritimes, Fr 31 employees
Employees
31

EMC2 Overview

Headquarters
Nice, Alpes-maritimes, Fr
Website
emc2-dut.org
Industry
Community Development And Urban Planning
Employees
31
NAICS
Administration of Urban Planning and Community and Rural Development

About EMC2

The emc2 project is carried out by a consortium of four academic research units and four local authorities in four different European countries : UMR ESPACE (CNRS – Université Côte d’Azur – Aix-Marseille Université – Avignon Université), Agence d’Urbanisme Azuréenne (AUA) and Agence de Développement et d’Urbanisme de Lille Métropole (ADULM), in France, SMoG (Chalmers University of Technology) and City of Gothenburg, in Sweden, DESTeC (University of Pisa) and City of Viareggio, in Italy, as well as the Department of Urban Design (Vienna University of Technology), in Austria. The 15-minute city (15mC) has strong prerequisites in terms of urban form and spatial organisation of the physical city, which should be integrated in any transition strategy for suburbs and car-dependent outskirts. With these demands in consideration, the project proposes a new model of the 15mC for the loose structural networks of peripheral locations: the Evolutive Meshed Compact City (emc2). The emc2 model envisages compact urban forms as corridor developments based on existing main roads, forming a meshed structure across the metropolitan area. Redesigned for pedestrians, these interconnected roads will be turned into vibrant and inclusive main streets, living spaces that offer a high quality of stay, a wide variety of high-frequency mixed uses and connections to wider-range mobility options. They interact with metropolitan ecosystem corridors and require only marginal improvements to the existing suburban forms. The project will assess the emc2 model at different scales in six geographically very different European case studies, through a triangulated research methodology including: innovative geospatial and network modelling; observational usage analyses; comparative morpho-functional analyses.

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