This study develops a personalized accessibility framework that integrates exponential decay functions with user-customizable weighting systems. The framework enables real-time, personalized urban evaluation based on individual priorities and lifestyle requirements. The methodology employs grid-based discretization and a two-stage computational architecture that separates intensive preprocessing from lightweight real-time calculations. The computational architecture demonstrates that accessibility modelling can be made accessible to non-technical users through interactive interfaces, enabling fine-grained spatial analysis and identification of accessibility variations within neighbourhoods. The research contributes to Sustainable Development Goal 11's vision of inclusive, sustainable cities by providing tools for understanding how different populations experience identical urban spaces, supporting evidence-based policy development that addresses accessibility gaps.
@article{arxiv.2512.08941,
title = {One Size Fits None: A Personalized Framework for Urban Accessibility Using Exponential Decay},
author = {Prabhanjana Ghuriki and S. Chanti},
journal= {arXiv preprint arXiv:2512.08941},
year = {2025}
}