This is what good decisions look like.

It’s the biking fitness 💪

In January-Feb, LinkedIn served me lots of ads for Secret Service jobs. Maybe they need critical pedagogy 😆

These distances are from a 2019 Oregon travel survey (www.oregon.gov/odot/Plannin...). Your mileage may vary.

My modeling friends down the hall at the MPO (not Portland) years ago talked about ‘land use’ and it was just population & employment guesstimates for each traffic analysis zone. Past travel mode choice carried to future with no changes. There was no real feedback between years.

Thanks, I’m happy to share and pleased to hear of requests to libraries for the book!

Looking forward to it!

Not that I know of. But, a cheeky jurisdiction could translate LTS to the infrastructure bike route versus lane codes in Google’s data.

Years ago, I did run LTS for the Austin region, which formed the basis of our regional planning maps and then also for local navigation maps like San Marcos’.

Working in transportation, I’d thought algorithms sent more streetscape Captchas to me. But I think tech companies are using is to train AIs to automate 🚗

Transportation pros know that economics are a small part of travel modeling. How quixotic are our forecasts?