Happy to share that our paper exploring accessibility inequalities in São Paulo using individual-based metrics, by @jxbarros and I, was recently published in Applied Geography. Here is short thread with the main results 🧶 https://t.co/HLIH8hajw1

this got talked about a lot when I worked on google maps. I would personally love this feature, and it’s technically feasible. here’s why I fought it loudly every time it came up 🧵

Hoje a gente fez um seminário no @ipeaonline para divulgar nosso novo estudo sobre serviços de mobilidade por aplicativo e acesso a oportunidades. 📰 Estudo completo https://t.co/FXCoPLmsmv 📺Gravação do seminário https://t.co/PQ7L8qCY82 Resumo nesse fio 🧵

Isso aqui tinha que ser enquadrado como homicídio doloso premeditado.

Super glad to share the English version of our on-line book to teach urban accessibility and data analysis with a hands-on approach in R #rstats. 🔖 https://t.co/OJYTLBIZF7 The book is Another great co-authorship with @dhersz. Short thread 🧵:

Saiu nosso estudo sobre insuficiência de acesso a escolas nas maiores cidades brasileiras, pelo @ipeaonline. Segue o fio do @UrbanDemog para um resumo dos principais resultados!

Belo trabalho do @UrbanDemog e do @dhersz! Excelente guia pra todos interessados em ir da teoria à prática em estudos de acessibilidade urbana. Parabéns!

Hello #Python people, the first version of r5py is out! Give it a try :) 🐍📦

New accessibility measure! 📢 This preprint is for those intrigued in evaluating access to competitive opportunities. It introduces ⭐Spatial Availability⭐, a singly constrained accessibility measure with some interesting discussion. (1/7)

Interested in public transit 🚌🚅⛴️ data and software development? Check out the gtfs_manager project, a prototype desktop application written in #rustlang by @maxunsted, to explore and even edit your GTFS files 🎉 A short thread...

Novo estudo sobre forma urbana e mobilidade sustentável. A gente examina c/ diferentes caracteristicas como densidade, mix de uso do solo, compacidade etc impactam o consumo de energia no transp individual motorizado das 182 maiores​ áreas urbanas do 🇧🇷 https://t.co/s4fQ0kbqzs

Glad to share the preprint 📑 of a new study where we propose "A time interval metric for cumulative opportunity accessibility" https://t.co/rLso8gq3IG. Co-authored with @DBTomasiello @dhersz @ckauebraga @_jaolucs. Quick thread 1/17🧵

Did you know Freddie Mercury was born in Zanzibar and Barack Obama in Honolulu? Who is the most famous person from your home town? I made a map of the most notable people around the world. Built with @Mapbox. Check it out here: https://t.co/NR0J7nqTn1 🧵

Great package that makes accessibility analyses in #rstats a lot easier :) Congrats to @UrbanDemog and @dhersz on the great work!

And so #buildify is now available for everyone! #geometrynodes library that I've made for quick city creation for #blender #b3d This is the first version, so any feedback is more than welcome :) #osm Get it here > https://t.co/3ISt3wGXlB

This is what we called "individual road to equity" in the paper. This is not ideal nor sustainable, but maybe is the only option for many people to access the activities they need. End of 🧶

The most interesting finding, though, is the high number of low income individuals with very high accessibility. Basically, the inefficiency of the public transport system leads people to take matters on their own hands and buy cars and motorcycles to have better mobility

Those inequalities can also be found within places. The maps show that people with low access can be found everywhere and in every group, and the same is true for people with high access.

Overall, results were as expected: people from higher economic classes and users of motorised transport have much higher access than everyone else. But we also found striking inequalities within each population group, as well as some "accessibility hoarding" by the upper classes

We use a somewhat intermediate approach: individual-based metrics with simplified daily schedules. With our method, we can answer questions like: "how many opportunities can one access on their way back home after work?"