Start

18/10/2023

End

17/02/2026

Status

In progress

MED4PED - Mobility Experience Decision support system for pre-assessing PEDedestrian walkability through on-site and off-site simulation

Start

18/10/2023

End

17/02/2026

Status

In progress

MED4PED - Mobility Experience Decision support system for pre-assessing PEDedestrian walkability through on-site and off-site simulation

The MED4PED project focuses on walkability evaluation in urban settings, addressing the evolving physical environment and lifestyles. It aims to provide effective management methods for informed decision-making in urban planning and design, considering urban and social dimensions.

The proposal involves developing an integrated system that supports decision-making through data analysis and virtual-reality simulation. This system anticipates outcomes of walking experiences and proposes objective and perceptual solutions, such as policies, plans, and road designs. The interdisciplinary methodology incorporates the expertise of the partners, including POLIMI (transport, urban planning, simulation) and UNIMI (environmental and social psychology).

The MED4PED project includes an app, mobility simulators, and a usage protocol, configured as a Decision Support System for Public Administrations and other stakeholders involved in mobility decisions. It offers functionalities such as addressing design briefs, comparing alternative solutions, and validating choices before implementation. Evaluations encompass both qualitative and quantitative measures.

The project draws on the experiences of the i.Drive Laboratory (POLIMI) and labsimurb (POLIMI-DAStU) in simulation and environmental impact assessment. It integrates aspects of the exp-EIA© methodology, which has been utilized in the City Sense app.

Overall, MED4PED serves as a comprehensive solution for urban mobility design phases and functions as a risk management tool for economic and social aspects.

Publications

S. Lou, G. Stancato, B. E. A. Piga, Assessing In-Motion Urban Visual Perception: Analyzing Urban Features, Design Qualities, and People’s Perception, in (pp. 691–706) A. Giordano, M. Russo, R. Spallone, Advances in Representation, (2024), Springer Nature Switzerland.

L. Mussone, R. Notari, Topological analysis and prediction of pedestrian crash location distribution in an urban district, (2025), IATSS Research, 49(4), 437–447.

L. Mussone, E. Villa Aliberti, R. Notari, A topological analysis of Milan historical surface transport networks from 1856 to the present, (2024), Transportation Research Interdisciplinary Perspectives, 26, 101145