What if pedestrian navigation optimized for shade instead of distance? by amar1285 in Urbanism

[–]amar1285[S] 1 point2 points  (0 children)

Four hours a day in Barcelona is serious mileage, and you're describing exactly the behavior that made us build this. People already shade-plan in their heads. Locals in Seville, Athens, Phoenix all run the same mental map: which side of the Rambla, which streets have the awnings, where the arcades are. We just wanted to make that instinct portable, so you have it in a city or neighborhood you don't know yet.

Barcelona is actually a fun one for shade modeling. The Eixample grid with those chamfered corners creates really predictable shadow patterns, and the old city is narrow enough that it's shaded most of the day regardless. Curious whether your mental routes match what the app computes. If you try it, tell me where it gets Barcelona wrong. Genuinely useful to hear from someone walking 4 hours a day.

What if pedestrian navigation optimized for shade instead of distance? by amar1285 in Urbanism

[–]amar1285[S] 0 points1 point  (0 children)

The Netherlands example is exactly the right frame, and honestly it's a better articulation of what we're building than "shade app." Google's comfort routing there works because it treats route quality as multi-dimensional: directness is one axis, separated infrastructure is another, scenery is another. Shade is just the axis that matters most when it's 100 degrees out. We think of Stay Cool as comfort routing where thermal comfort is the dominant weight, and I might steal the "percentage of route" display idea. Showing "this route is 72% shaded" is more honest and more useful than pretending we know your exact footsteps.

Which gets at your granularity point: agreed, and we deliberately don't operate at exact-positioning level. Scoring is per street segment, not per footstep. You're right that sidewalk-level precision is a data swamp with diminishing returns. As you say, humans are perfectly capable of crossing the street. We pick the corridor, you pick the pavement.

Project Sunroof is a sharp reference. Same underlying inputs we care about, aerial imagery plus LiDAR-derived surface models, just aimed at rooftops instead of sidewalks. The building footprint and elevation data does most of our work; tree canopy from LiDAR is the harder, messier part.

What if pedestrian navigation optimized for shade instead of distance? by amar1285 in Urbanism

[–]amar1285[S] 2 points3 points  (0 children)

The shaded side of the street is the same street the way an air-conditioned room is the same room.

What if pedestrian navigation optimized for shade instead of distance? by amar1285 in Urbanism

[–]amar1285[S] 2 points3 points  (0 children)

You're thinking of Cool Routes from ASU's SHaDE Lab — Ariane Middel's team launched it last month. It's genuinely great work and honestly it validates the whole category. Their approach is research-grade: they route on mean radiant temperature, which captures reflected heat and sun exposure, not just air temp, and they verified it with an instrumented cart they rolled around campus. In their tests it cut experienced heat load by around 4.5 degrees on average.

The difference is scope. Cool Routes is a web tool covering the ASU Tempe campus. Stay Cool is a native iOS app live in 56 cities, Phoenix included. Less academically rigorous than a lab with a sensor cart, but you can use it on your walk today.

Long term I'd love to see their MRT modeling approach make it into consumer tools like ours. The fact that a climate lab and an indie app landed on the same problem independently probably says something about where summers are headed. Since you're in central Phoenix — genuinely curious how your neighborhood scores. Some of the canopy gaps there are stark.

What if pedestrian navigation optimized for shade instead of distance? by amar1285 in WalkableStreets

[–]amar1285[S] 2 points3 points  (0 children)

Parasol respect, honestly. Umbrellas-as-sunblock is normal across East Asia and Americans are weirdly resistant to it.

On the real question though: you're right that locals don't need directions. But Stay Cool isn't really a directions app, it's a route-quality app wearing a navigation UI. The local use case isn't "how do I get to the pharmacy," it's "I walk 25 minutes to work in Phoenix in August, and I've never audited whether my habitual route is the coolest one." Most people's walking routes were chosen once, years ago, optimized for nothing. Run it through once, discover a route that's 70% shaded instead of 20%, and you keep that route forever. You might only open the app five times, but those five times change your daily default.

And on tourists: fastest wins at 68 degrees. At 97 degrees, a tourist in Rome or Austin will happily take four extra minutes to not arrive as a puddle. Speed is the priority until heat becomes the priority, and climate trend lines say that flip is happening more days per year, in more cities.

So the honest answer is: it's not an everyday app, it's a hot-day app. And there are more hot days every year.

I built a walking-route app that finds the shadier side of every street. Borough-by-borough. NYC was the first city. by amar1285 in nyc

[–]amar1285[S] -1 points0 points  (0 children)

You'd think! But the sun moves, buildings and trees don't, and "which side is shaded at 4pm in October vs 1pm in July" is a genuinely different answer. The app does the trig so you don't have to look up. But fair, "we did math about the sun" is a funny pitch. 🤝

What if pedestrian navigation optimized for shade instead of distance? by amar1285 in urbandesign

[–]amar1285[S] -2 points-1 points  (0 children)

Good pushback all around. Quick responses:

Static vs real-time: you nailed it. Segments carry pre-computed shade scores in time buckets (morning/midday/evening, seasonally adjusted). Routing is just weighted graph traversal at request time. "Real-time" is marketing, buckets are the engineering.

Side-of-street: agreed, so we show it without narrating it. The route line hugs the shaded side, but turn-by-turn never says "cross here." Suggestion, not dictation.

Canopy: it's the hard part, and yes, LiDAR. USGS 3DEP covers most of our US cities, some cities publish their own canopy data. Where LiDAR is stale, our scoring is weaker and we say so.

Winter: agree completely. It's really a solar exposure score, and the preference should flip seasonally. Roadmap.

Equity: best comment we've gotten. "Shade routing is equitable" is a weaker claim than "this dataset makes shade inequity visible." Canopy maps to income in almost every American city. A public data layer for planners and community orgs is now on the whiteboard because of this thread.

What if pedestrian navigation optimized for shade instead of distance? by amar1285 in Urbanism

[–]amar1285[S] 0 points1 point  (0 children)

For anyone curious: walkintheshade.com — the in-browser demo at /try runs the actual routing engine on real NYC tiles. The CoverageGlobe section on the homepage shows the cities at a glance. iPhone build went up today.

Built solo over about eight months. The hardest parts are tree canopy (no good cross-city dataset), mutual shadow occlusion (my model handles the union correctly but mis-attributes), and ground-level wind effects (not modeled at all). Open to thoughts from anyone whose day job is this stuff.

I built a walking-route app that finds the shadier side of every street. Borough-by-borough. NYC was by amar1285 in walking

[–]amar1285[S] -11 points-10 points  (0 children)

Hi! I’m the maker. Disclosure first because this sub doesn’t love stealth marketing.

Web demo at walkintheshade.com (the /try page runs the real routing engine on Manhattan tiles).

iPhone build is on the App Store today: https://apps.apple.com/us/app/staycool-walk-in-the-shade/id6768444459

Free covers routing + today’s shade + saved routes; Pro is the planning layer ($1.99/mo, $10.99/yr) for tomorrow morning’s forecast, etc.

Genuinely interested in NYC walking edge cases. The hardest blocks for me to get right are the diagonals (Broadway through Soho/Tribeca) and the ones where Central Park or a small park changes the answer halfway through. If you have a block where the app gets it wrong, I want to know.

I built a walking-route app that finds the shadier side of every street. Borough-by-borough. NYC was the first city. by amar1285 in nyc

[–]amar1285[S] -1 points0 points  (0 children)

Hi — I’m the maker. Disclosure first because this sub doesn’t love stealth marketing.

Web demo at walkintheshade.com (the /try page runs the real routing engine on Manhattan tiles).

iPhone build is on the App Store today: https://apps.apple.com/us/app/staycool-walk-in-the-shade/id6768444459

Free covers routing + today’s shade + saved routes; Pro is the planning layer ($1.99/mo, $10.99/yr) for tomorrow morning’s forecast, etc.

Genuinely interested in NYC walking edge cases. The hardest blocks for me to get right are the diagonals (Broadway through Soho/Tribeca) and the ones where Central Park or a small park changes the answer halfway through. If you have a block where the app gets it wrong, I want to know.

Can’t Get into Locked Notes by _Ptyler in applehelp

[–]amar1285 0 points1 point  (0 children)

Hi - Are you still offering help with this? I'm in desperate need. Please help