EPISODE · Jun 1, 2026 · 11 MIN
Can transit close care gaps? Plus: in-the-moment rider data
from This Week In Public Transit · host Paperboy.fm
Ridesharing access, distance to public transit, in-trip surveys, CCTV crowd analytics, and roof-mounted battery packs all frame transit as infrastructure that must work in real time. Covers 2026-05-25 to 2026-06-01; 5 free papers from 7 selected papers. A review of recent research on public transit. Episode covers 2026-05-25 – 2026-06-01. Top papers The benefits of in situ reporting: Experimental evidence from in-the-moment surveys of public transit riders Sustainable Transportation Systems and Climate Change in Developing Countries with Special Reference to India RAILEYE : AI Driven Real Time Crowd Safety Analytics for Railway Stations Using Cctv Surveillance EXPRESS: Ride-to-Health: The Impact of Ridesharing on Patients’ Emergency Care Access Transportation access as a structural determinant of quality of life and symptom burden among cancer patients. Themes: healthcare disparities, transportation access, quality of life, cancer patients, public health, public transit, in situ reporting, data quality Methods: observational study, ordinal logistic regression, experimental, survey, empirical analysis, data analysis Premium NewsPremium also covers 10 related news stories, including greenpeace.org — Up to 56% of population in European countries report being 'cut off ..., timesofindia.indiatimes.com — Outages hit charging of PMPML's e-buses, depots lack power backup, and newseu.cgtn.com — Should European countries subsidize public transport amid fuel crisis? Upgrade to PremiumThe premium version of this podcast covers all 7 research articles and 10 news stories selected for the episode. Subscribe to the premium podcast. Generated by paperboy.fm.
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What this episode covers
This week links transportation access to emergency care and cancer symptoms, then tests in-trip rider surveys, station crowd analytics, and electric bus safety.
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Can transit close care gaps? Plus: in-the-moment rider data
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