The Riverton City Council met on April 7, 2026, in a hybrid format for a work session (4:00 PM to 6:12 PM) and a regular council meeting (7:00 PM to 8:50 PM, followed by a closed session). The work session focused on a Placer AI data analytics presentation, a detailed budget study session on the Capital Improvement Plan (CIP) and long-range plans, and a discussion on culinary water rates. The council meeting included public comment on the city's 287(g) ICE agreement, public hearings on two rezones (Moore Rezone and Quinn Rezone), legislative reports from state representatives, and approval of the consent agenda with one item removed. Key outcomes included adoption of a lower base rate increase for water (Option 1) and unanimous approval of both rezoning ordinances.
Yeah, we're having some issues. I've got the microphone off on Zoom. Yeah, I've got this speaker. Um I turn the speaker on speed, but I don't know if you can't tell. Yeah, okay. And you cannot be starting it right now. Nobody's talking. Andy, can you hear me now? I can hear you perfectly. Uh love it. Chris, can you hear us? I can, loud and clear. Okay. So we just need to get Chris's screen now and we can maybe get going. Yeah, would you like me to start presenting here? He's not on now. All right. Okay, sir. Chris. Yeah, first. Oh, let me let me introduce you a little bit. Chris uh is uh presentation on place for the eye, which is any and a name. All right, well, let me know when I should start my screen and I can begin whenever you all are ready. Okay. Now we're ready. Thanks, Chris. I'll just introduce you briefly. Um the city staff uh saw a presentation from Chris and Cheryl Garn has used his tool a little bit over the past year. Um and he will get into a great deal more detail, but the reason I want the council to really see it is because I believe that there are some um this tool would allow us the ability perhaps to look at some of our parks to see the amount of usage they're getting um and whether we're putting the right amenities into all of our parks. So Chris, Chris, please go ahead with what you have. Yeah, well, nice to meet all you. Thanks for allowing me the time. Um I'm Chris. I own the Utah market here at Placer, specifically in our civic vertical. So I work with around 40 communities across Utah who use Placer today, a lot of which are your neighbors, but my whole goal is to educate you on what Placer is, some of the use cases, and go from there. But I'll share my screen. Let me know when you all can see a map of the United States. That'll just be my cue to get started. We can see it. All right. Well, before I jump into the data and really give you a look at what Placer looks like, let me give you a background on what we do. So the easiest way to think about Placer is we are a location analytics company powered by mobile data. Really, what we do here is we study the locations of millions of cell phones all across the United States, and we use the location data from those phones to understand visits to any place. So right now we study about 30 million phones across the United States. That's about 10% of the US population. And think of it as like any other survey. At that sample size, we can actually estimate visits to a degree of about 93 to 98% accuracy to any place in the United States. So think of Riverton. We can look at any retailer, restaurant, shopping center, neighborhood, road street, highway, park, event, any place, just look it up like you would in Google Maps, and we'll help you start to understand the visits, the visitors, and all that good stuff. Now, the way we get this data is through mobile apps.