We propose a methodology to assess transportation accessibility inequity in metropolitan areas. The methodology is based on the classic analysis tools of Lorenz curves and Gini indices, but the novelty resides in the fact that it can be easily applied in an automated way to several cities around the World, with no need for customized data treatment. Indeed, our equity metrics can be computed solely relying on open data, publicly available in standardized form. We showcase our method and study transp
@article{arxiv.2206.09037,
title = {Assessing transportation accessibility equity via open data},
author = {Amirhesam Badeanlou and Andrea Araldo and Marco Diana},
journal= {arXiv preprint arXiv:2206.09037},
year = {2022}
}