Improving the Urban Accessibility of Older Pedestrians using Multi-objective Optimization
Team URBANAGE are pleased to share original research, published by IEEE, on support for urban planners on how to design more effective public places taking into account the needs of older pedestrians.
Read the paper: Publications | Urbanage
Authors: Iñigo Delgado-Enales, Patricia Molina-Costa. Eneko Osaba, Silvia Urra-Uriarte and Javier Del Ser from TECNALIA, Basque Research and Technology Alliance (BRTA), Bizkaia, Spain
Abstract: Many countries around the world have witnessed the progressive ageing of their population, giving rise to a global concern to respond to the needs that this process will create. Besides the changes in the productive schemes and the evolution of the healthcare resources to new models, the accessibility of pedestrians belonging to this age range is grasping an increasing interest in urban planning processes. This work presents pre-liminary results of a framework that combines graph modelling and meta-heuristic optimization to inform decision makers in urban planning when deciding how to regenerate urban spaces taking into account pedestrian accessibility for the older people in urban areas with difficult orography. The goal of the framework is to decide where to deploy urban elements (mechanical ramps, escalators and lifts), so that an indirect measure of accessibility is improved while also accounting for the economical investment of the installation. We exploit the versatility of multi-objective evolutionary algorithms to tackle the underlying optimization problem. Experimental results of a case study located in the city of Santander (Spain) show that the proposed framework can support urban planners when making decisions regarding the accessibility of the public space.
Published in: 2022 IEEE Congress on Evolutionary Computation (CEC)
Date of Conference: 18-23 July 2022 Date Added to IEEE Xplore: 06 September 2022 ISBN Information: INSPEC Accession Number: 22027230 DOI: 10.1109/CEC55065.2022.9870432 Publisher: IEEE Conference Location: Padua, Italy