RT Conference Proceedings
T1 Improving the Urban Accessibility of Older Pedestrians using Multi-objective Optimization
A1 Delgado-Enales, Inigo
A1 Molina-Costa, Patricia
A1 Osaba, Eneko
A1 Urra-Uriarte, Silvia
A1 Del Ser, Javier
AB 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 modeling 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.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781665467087
YR 2022
FD 2022
LK https://hdl.handle.net/11556/5100
UL https://hdl.handle.net/11556/5100
LA eng
NO Delgado-Enales , I , Molina-Costa , P , Osaba , E , Urra-Uriarte , S & Del Ser , J 2022 , Improving the Urban Accessibility of Older Pedestrians using Multi-objective Optimization . in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings . 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings , Institute of Electrical and Electronics Engineers Inc. , 2022 IEEE Congress on Evolutionary Computation, CEC 2022 , Padua , Italy , 18/07/22 . https://doi.org/10.1109/CEC55065.2022.9870432
NO conference
NO Publisher Copyright: © 2022 IEEE.
NO This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004590. J. Del Ser also acknowledges support from the Basque Government (Consolidated Research Group MATHMODE, IT1294-19). This work has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement No 101004590. J. Del Ser also acknowledges support from the Basque Government (Consolidated Research Group MATHMODE, IT1294-19).
DS TECNALIA Publications
RD 29 sept 2024