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Rafael H. M. Pereira 🚡 Urban Demographics

@urbandemog.bsky.social

6.9K followers 840 following 140 posts

Researcher Ipea Brazil | Visiting prof @geo_uoft | PhD @TSUOxford | Structured procrastination on Cities, Urban mobility, Accessibility, Equity, Data science, R. About: www.urbandemographics.org/

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Rafael H. M. Pereira 🚡 Urban Demographics @urbandemog.bsky.social · May 19

New preprint where we propose "Rethinking Congestion as Lost Access"
📑 osf.io/fjdbs_v2 Short 🧵!

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

David M Levinson ⁂ @transportist.net · 21h

Access Surplus: Valuing Accessibility by Integrating Opportunity Supply and Willingness to Pay.

Recently published: Abstract: We introduce Access Surplus as a welfare measure that frames accessibility in a market-like form: the inverse cumulative cost to reach the next opportunity is the ‘supply,’ and the willingness to pay for one more choice is the ‘demand.’ The area where demand exceeds supply, up to a natural stop point, is […]

dlvr.it

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Jason Thorne @jasonthorne.bsky.social · 2d

The Venn diagram of urban density and average household GHG emissions is pretty much a circle. Interesting study on “Mapping household GHG emissions in the Greater Golden Horseshoe” from the University of Toronto School of Cities schoolofcities.utoronto.ca/mapping-hous...

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Rafael H. M. Pereira 🚡 Urban Demographics @urbandemog.bsky.social · 7d

I’m grateful to be included in the list again this year. More importantly, I feel humbled to be in the company of so many scholars whose work I deeply admire and who have influenced my own thinking.

Rafael H. M. Pereira 🚡 Urban Demographics @urbandemog.bsky.social · 7d

Academic rankings are all a bit arbitrary, and we all tend to highlight the ones where we look good. With that caveat in mind, Elsevier/Stanford has published the the 2% most cited researchers in 2024
Data: elsevier.digitalcommonsdata.com/datasets/btc...
Quick search tool: topresearcherslist.com

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Dr. U @transport-talk.bsky.social · 10d

{gtfs2emis} - Estimate public transport emissions from GTFS data: ipeagit.github.io/gtfs2emis/

#RStats bookmark from the old twitter

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Bits @bitshammer.bsky.social · 12d

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Ordinary Notes @hystericalblkns.bsky.social · 20d

If you’re on academia dot edu, let me suggest that you strongly consider deleting your account.

The new TOC from academia dot edu.

By creating an Account with Academia.edu, you grant us a worldwide, irrevocable, non-exclusive, transferable license, permission, and consent for Academia.edu to use your Member Content and your personal information (including, but not limited to, your name, voice, signature, photograph, likeness, city, institutional affiliations, citations, mentions, publications, and areas of interest) in any manner, including for the purpose of advertising, selling, or soliciting the use or purchase of Academia.edu's Services.

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Giulio Mattioli @giuliomattioli.bsky.social · 18d

It's that time of the year again and I am chuffed to be included in Elsevier list of the top 2% of most-cited authors for the year 2024 (at rank 51 within the field "Logistics and Transportation") as well for the whole career (rank 326) lnkd.in/e6QprVQh

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

michielstock.bsky.social @michielstock.bsky.social · Jun 28

The Incerto books are written in a provocative style that may not appeal to everyone. Beneath the prose, each book explores a profound concept in probability theory. I tried to strip each to its bare bones. (1/6)

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

r⁵py @r5py.bsky.social · Apr 29

Computing travel time matrices in r⁵py from #geopandas #DataFrame is two lines of code:

(1) create an r5py.TransportNetwork from @openstreetmap.bsky.social and #GTFS data

(2) turn it into an r5py.TravelTimeMatrix()

Try it out in #binder: r5py.readthedocs.io/stable/user-...

A map of central Helsinki. A transparent overlay shows a grid of cells that are coloured according to the time needed to travel to their centre point from the railway station

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Patrick Heuveline @patrickhvl.bsky.social · 22d

"The probability of first birth within marriage has become increasingly similar across social classes, while cohabiting and single parenthood have become more strongly stratified," finds
@aledinal.bsky.social in new DR article

Demographic Research @demresjournal.bsky.social · 28d

When do people become parents—and in what unions? @aledinal.bsky.social studies the risks of first parenthood (15–50) by union status and parental class across cohorts. Read more: www.demographic-research.org/articles/vol...

#FamilyFormation #ReproducibleResearch

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Conrad Hackett @conradhackett.bsky.social · 23d

LINK ROT: 38% webpages that existed in 2013 were no longer available 10 years later.

Even among pages that existed in 2021, 22% no longer accessible just two years later. This is often because individual page was deleted or removed on otherwise functional website.

Many implications for knowledge 🧪

A line chart showing that 38% of webpages from 2013 were no longer accessible one decade later.

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Dave Jones @cleanpowerdave.bsky.social · Aug 26

NEW: The first evidence of a solar take-off in Africa☀️✈️

x33 rise in Algeria solar panel imports in the 12 mths to June 2025, compared to previous 12 mths.
x8 in Zambia
x7 in Botswana
x6 in Sudan
x3 in each of Liberia, DRC, Benin, Angola, Ethiopia

🧵

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

David M. Levinson ⁂ @transportist.mastodon.social.ap.brid.gy · 25d

ICYMI: Safety as Access https://transportist.org/2025/09/12/safety-as-access/?utm_source=dlvr.it&utm_medium=mastodon

Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

The New York Times @nytimes.com · 26d

Jair Bolsonaro was sentenced to more than 27 years in a Brazil prison for attempting a coup after losing the 2022 election.

Bolsonaro Convicted of Attempting a Coup in Brazil, Sentenced to 27 Years in Prison

Brazil’s Supreme Court convicted the former president of trying to cling to power after losing the 2022 election, including a plan to assassinate his opponent.

nyti.ms

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Findings Press @findingspress.org · 26d

Safety as Access

This paper shows how crash risk cuts lifecycle accessibility, integrates safety into access metrics, monetises gains with hedonic prices, and supports access-based appraisal.

dlvr.it

Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Laurent Bergé @lrberge.bsky.social · 27d

#rstats #econsky

fixest v0.13.0 is finally out!

It's still about making OLS and GLM estimations easy.

Some major changes:
- *default* VCOV becomes iid always!
- singletons are removed by default!

See all the changes here:
github.com/lrberge/fixe...

fixest: Fast Fixed-Effects Estimations

Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the p...

cran.r-project.org

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Grant McKenzie @grantdmckenzie.bsky.social · 29d

A quick reminder that the #SDSS2025 deadline for Thematic Session proposals is coming up quickly. We'd love to see a proposal from you on a topic of your choice. The symposium is free, online, and typically has large numbers of engaged attendees.
sdss2025.spatial-data-science.net

Spatial Data Science Symposium 2025

December 4-5 | Distributed & Online. The symposium aims to bring together researchers from both academia and industry to discuss experiences, insights, methodologies, and applications, taking spatial...

sdss2025.spatial-data-science.net

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Rafael H. M. Pereira 🚡 Urban Demographics @urbandemog.bsky.social · Sep 8

- Paper (open access): doi.org/10.1016/j.ci...

- Data (open access): the full data set of the survey results is available here dataverse.harvard.edu/dataset.xhtm...

Redirecting

doi.org

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Rafael H. M. Pereira 🚡 Urban Demographics @urbandemog.bsky.social · Sep 8

2. Despite context and cultural differences across countries, there is also a consensus that the “adequate distance” to activities related to basic needs and caregiving is consistently shorter, even though the “reasonable access time” varies significantly across activities.

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Rafael H. M. Pereira 🚡 Urban Demographics @urbandemog.bsky.social · Sep 8

1. There is a seemingly universal understanding of “proximity” (up to 1600 m), with small variations depending on city size and country.

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Rafael H. M. Pereira 🚡 Urban Demographics @urbandemog.bsky.social · Sep 8

New paper alert! In a massive collaborative effort, we surveyed 1300 transport & planning practitioners from 22 countries to ask their understanding and normative views of proximity-centred accessibility. doi.org/10.1016/j.ci... To me, the most amazing results that emerged from this paper are that:

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Michael Clemens @mclem.org · Sep 4

A generation of researchers will vanish, as intended, due to the US Administration’s illegal politicized attacks on our universities. Our national capacity for innovation and competitiveness, hobbled.

Mark Thornton @markthornton.bsky.social · Sep 3

The psych job market may not be dead... but it is gravely injured 😬 So far it's looking like the Trump administration's attacks on higher ed/research are going to have more than 2x the impact on the job market as the covid-19 pandemic. #psychjobs #neurojobs #academicjobs

Bar plot showing the number of psychology jobs posted each year by area. There are major dips in 2020 due to covid, and in 2025 (now).

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Reposted by Rafael H. M. Pereira 🚡 Urban Demographics

Florian Ederer @florianederer.bsky.social · Sep 3

We usually rely on GDP, trade, or wages to study the past. This amazing paper flips the script.

It analyzes 630,000 paintings (1400-2000) to extract emotions and shows how art tracks living standards, wars, inequality, and even climate shocks.

(How is this economics? Everything is economics!)

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