Kyle Piira

Tag: transportation

  • What Happens When the Marginal Driver Is a Robot?

    Today, congestion is partly constrained by human tolerance. At some point, a trip becomes slow enough that the marginal driver decides it is not worth making. But what happens when the marginal driver is no longer a person? What if it is an empty robotaxi repositioning itself, or a self-driving car carrying a Chipotle burrito across town?

    Those trips may be willing to tolerate much more delay than a human commuter. Instead of autonomous vehicles making long commutes easier and encouraging more sprawl, they could actually push congestion to a much worse equilibrium. A commute that takes 30 minutes today might take an hour or two simply because so many low-value automated trips are willing to sit in traffic.

    That could eventually force a change.

    My preferred solution would be simple congestion pricing: charge every vehicle the same market-clearing price to use scarce road space, with no special exemptions. Raise the price until traffic flows freely.

    If that makes a private car trip cost $70, so be it. A bus carrying 30 people can spread the same road charge across 30 passengers. A car with four people can split it four ways. The system naturally rewards higher occupancy without needing complicated rules about which vehicles deserve priority.

    Then use the congestion-pricing revenue to improve transit.

    That could become especially powerful in sprawling cities that already have underused rail infrastructure. Take SunRail in Orlando. If I-4 became painfully congested, it might suddenly make sense to take a robotaxi to the nearest station, ride the train for the long-distance portion, and take another robotaxi at the other end.

    At that point, the giant parking lots around suburban rail stations become less necessary and can be replaced with compact pickup and drop-off zones. The parking lots can then be redeveloped into housing, shops, and offices. More development around the stations creates more riders, which supports better frequency, which makes the surrounding development even more attractive.

    There would probably be an ugly transition period. But I can imagine autonomous vehicles pushing the current system hard enough that we finally start treating road space as the scarce resource it actually is.

    And if that ultimately produces faster roads, better transit, more pooling, and denser development around rail, the end state could be substantially better than what we have today.

  • Is Uber or Lyft cheaper?

    I use ride-hailing apps fairly often, so I was curious whether Uber or Lyft is cheaper on average. To find out, I downloaded my complete ride history from both companies and compared what I paid across 477 trips.

    The short answer is that Lyft was cheaper most of the time. Across 340 Uber rides and 137 Lyft rides, Lyft had a lower aggregate cost per mile and per minute, and it was cheaper across every distance band.

    This is not a comparison of simultaneous quotes for identical trips. The rides took place at different times and in different locations, so the results describe my own experience rather than guarantee which app will be cheaper for any particular trip.

    The overall comparison

    To compare rides of very different lengths, I divided total spending by total miles and total travel minutes for each service. On that basis, Uber averaged $1.98 per mile and $1.03 per minute, while Lyft averaged $1.61 per mile and $0.93 per minute. That made Lyft about 19% cheaper per mile and 10% cheaper per minute.

    Bar chart comparing Uber and Lyft aggregate cost per mile and cost per minute

    Aggregate rates are calculated as total cost divided by total miles or minutes, so each mile or minute carries equal weight.

    Short rides are expensive per mile

    Rides under five miles cost roughly $4.20 per mile on Uber and $3.87 on Lyft. Once trips reached 20 miles, those figures fell to about $1.58 and $1.35, respectively. Base fares and fixed fees get spread across more miles on longer trips.

    Bar chart comparing Uber and Lyft cost per mile across four trip-distance bands

    Lyft was cheaper per mile in all four distance groups. Its advantage was modest for rides under five miles and for rides over 20 miles, but wider in the middle: Lyft cost about 21% less per mile for five-to-ten-mile trips and about 30% less for ten-to-twenty-mile trips.

    Scatter plot showing cost per mile for individual Uber and Lyft rides by trip distance

    The individual rides show why an average only tells part of the story. Prices vary widely on short trips, while longer rides cluster into a narrower cost-per-mile range. Surge pricing, fees, location, and ride type can easily overwhelm the average on any single booking.

    The comparison by trip duration

    Cost per minute also generally declined as rides got longer. Lyft was cheaper in the first three duration groups: under 10 minutes, 10–20 minutes, and 20–40 minutes. The largest gap appeared in the 20–40 minute group, where Uber averaged $0.99 per minute versus $0.72 for Lyft.

    Bar chart comparing Uber and Lyft cost per minute across four trip-duration bands

    Uber reversed the result for rides lasting 40 minutes or more, at $0.96 per minute compared with $1.28 for Lyft. That result needs extra caution, however: the group contains only 19 Uber rides and eight Lyft rides, so a handful of unusual fares can move the average substantially.

    Scatter plot showing cost per minute for individual Uber and Lyft rides by trip duration

    As with distance, the scatter plot makes the variation visible. Most rides follow a broad downward trend, but there are outliers in both services. Checking both apps before booking still matters more than the historical average.

    Location changes the picture

    Most rides in the dataset came from Orlando, Charlotte, and Atlanta, so I separated those markets and combined the rest. Lyft was cheaper per mile in Orlando and Charlotte, as well as across the combined “other regions.” Atlanta was the exception: Uber averaged $2.75 per mile compared with Lyft at $2.86.

    Bar chart comparing Uber and Lyft cost per mile in Orlando, Charlotte, Atlanta, and other regions

    On a per-minute basis, Lyft was cheaper in all four regional groups. The difference was largest in Orlando, where Uber averaged $0.96 per minute and Lyft averaged $0.75. The two services were much closer in Atlanta and in the combined group of other regions.

    Bar chart comparing Uber and Lyft cost per minute in Orlando, Charlotte, Atlanta, and other regions

    So, which one is cheaper?

    For my ride history, Lyft wins the overall comparison. It was cheaper per mile, cheaper per minute, and cheaper across every distance band. Uber still performed better in a few slices of the data, most notably rides over 40 minutes and cost per mile in Atlanta, but those groups were relatively small.

    That said, when it comes time to book a ride I always check both services to see which one offers the cheapest fare for where I’m going. If you have an iPhone this can be done relatively easily using the Apple Maps app. For example, in the below screenshot it is actually Uber that is cheaper this time around.

  • Rethinking Suburbs in the Age of Self-Driving Cars

    If you look at how many U.S. suburbs are built today, a clear pattern emerges. There’s the wide arterial road, often called a stroad. It’s usually six to eight lanes, built for speed. Along both sides sit strip malls, big-box stores, and standalone restaurants, each surrounded by large parking lots.

    Branching off these roads are residential subdivisions. These neighborhoods are made up of winding streets and cul-de-sacs. They’re quiet and low-traffic by design, but they’re also difficult to navigate without a car. There are few direct paths, and no real reason to pass through unless you live there.

    This layout reflects a simple assumption: everyone drives everywhere. But that assumption starts to break down once autonomous vehicles enter the picture.

    The reason commercial areas have such large parking lots is straightforward. People drive from home, park, do what they need to do, then drive back. Every destination needs enough space to store all those cars at peak times.

    Autonomous vehicles, especially shared robo-taxis, change that. Instead of parking, a car can drop you off and immediately leave to pick up someone else. The same vehicle can serve many people throughout the day. That makes parking far less necessary.

    Once you don’t need acres of parking, that land becomes available for something else. A small pick-up and drop-off area can handle the same flow of people while taking up a fraction of the space.

    The rest can be redeveloped. More shops, housing, parks, or public space. Instead of walking across a hot, empty parking lot, you step into a place designed for people. Buildings can line the street, provide shade, and create a more comfortable environment.

    This also changes how transit works along these roads. Right now, buses often run infrequently and stop in places that feel hostile. You get off and face a long walk across a parking lot. There’s little shelter, a lot of noise, and constant traffic.

    If those parking lots are replaced with actual development, the experience improves immediately. You step off the bus and you’re already close to where you want to go. There are buildings, shade, and activity right there. More people live and work along the corridor, which makes transit more useful. Higher ridership can support more frequent service and eventually better infrastructure like dedicated lanes or light rail.

    These wide arterial roads already have the space for that shift. Some lanes can be repurposed for transit, wider sidewalks, or protected bike lanes without removing cars entirely.

    Inside the subdivisions, a similar change becomes possible. Today, it’s hard to introduce small businesses into single-family neighborhoods, largely because of parking requirements. A small coffee shop, for example, would need enough parking for customers and staff, which often isn’t feasible.

    If people arrive by autonomous vehicle, bike, or on foot, that requirement shrinks or disappears. A house could be converted into a small café, a barber shop, or a studio without needing a large parking area. These kinds of businesses could serve the immediate neighborhood instead of drawing large crowds from far away.

    The street layout inside these neighborhoods can improve too. Cul-de-sacs are effective at limiting car traffic, which many residents like, but they also make walking inefficient. Two nearby points can require a long, indirect route.

    You don’t have to redesign everything to fix that. Keeping the cul-de-sacs for cars while adding pedestrian and bike paths between them can create direct connections. What used to be a long walk becomes a short one. That makes it practical to walk or bike to nearby destinations within the neighborhood.

    Taken together, these changes point to a different version of suburbia. Parking lots are replaced with housing, shops, and public space. Arterial roads become more balanced, supporting transit, walking, and biking alongside cars. Neighborhoods gain small-scale businesses. Walking and biking become more realistic options because distances shrink and routes improve.

    People can still live in single-family homes. They can still use cars when they need to. But they’re no longer locked into one way of moving through the world, and the places they go feel better when they get there.

    Autonomous vehicles don’t fix everything, but they remove one of the biggest constraints shaping suburban design: the need to store cars everywhere. Once that constraint is gone, a lot of new possibilities open up.

  • Strip Malls Could Be America’s New Main Streets

    A cozy Main Street with people walking around enjoying their day.

    I’ve never liked strip malls, but for a long time I couldn’t quite explain why. The buildings themselves aren’t especially offensive. If you strip away the context, a strip mall is not so different from a row of shops that you might find present on a quaint walkable Main Street in a small town.

    The problem is that unlike a main street, the strip mall is sitting behind an enormous moat of parking that makes it very difficult to get to for anyone not in a car. In order to reach the shops from the street you must cross a wide, hot, unshaded expanse of asphalt which is quite unpleasant.

    They’re also usually separated from housing. Even when homes are physically close, they’re rarely connected in a way that makes walking easy. For example, take a look at this typical American strip mall located in Mint Hill, NC with a residential development less than 50 feet away. However, because there is no pedestrian connection between the two places the official walking route is nearly half a mile and requires walking along a busy road.

    So almost everyone arrives the same way: by car, which then sits in that giant parking lot until they leave.

    The assumption that every visitor must store a private vehicle on site for the duration of their visit is what drives the need for dedicating so much land to car parking.

    But that assumption may begin to change over the coming decade.

    We are seeing rapid improvements in autonomous vehicles from companies like Waymo, such that I think there is a good chance private vehicle ownership may give way to robotaxis if they can be made cheaper per mile.

    If people increasingly rely on on-demand transportation, especially autonomous vehicles, destinations won’t need to dedicate vast areas to parking. A vehicle could drop someone off and leave. The site would only need enough space to stage a limited number of robotaxis so that departures are reasonably quick. That’s very different from storing approximately one vehicle per person in the building.

    And once you stop designing around having space to store one car for every person, a lot of land becomes available for other more productive uses.

    I would suggest that we should build infill housing on disused shopping center parking lots.

    If most of the parking lot were replaced with townhomes, and perhaps a small apartment building, the character of the place would change immediately for the better. The bland soulless strip malls of modern day suburbia would be transformed into the cozy pleasant Main Streets of the past and become a place people actually want to spend time.

    Take the strip mall that I mentioned earlier from Mint Hill, it has a general store, a small hardware store, a pizza place, a nail salon, a hair cutter, a gym, and a specialty shop or two. These are everyday businesses that are actually useful to live near. Being able to walk to get a haircut or pick up a few household items would be convenient.

    Yet the layout makes living near them awkward or impossible.

    Instead of a field of parked cars, imagine a shaded street lined with homes. Doors and windows facing the shops. A small green space tucked between buildings. Paths connecting to adjacent neighborhoods that currently sit cut off by massive six lane stroads (wide, high-speed arterial roads).

    A short, direct link to the existing nearby townhome neighborhood would make the shops part of the neighborhood instead of a separate island. Residents could walk over in a few minutes instead of driving around to the main entrance.

    People coming from farther away could still arrive by car, autonomous or otherwise, or by transit. 

    This kind of infill would make bus service along arterial roads more practical. Strip malls are usually located on major corridors. If housing filled in the parking lots along those corridors, there would be more people within walking distance of each transit stop and more destinations clustered together. For transit riders, the modern-day torturous walk across an expanse of hot asphalt with the sun beaming down on you, would be replaced with a pleasant stroll through tree lined neighborhood streets with shaded sidewalks.

    By adding this infill housing we can also help alleviate the issues that many cities in the U.S. are experiencing with regard to a housing shortage in the parts of the city where people want to live. Many regions are short on homes, yet large portions of urbanized land are devoted to parking that sits partially empty much of the time. Reusing that space for housing adds units without expanding outward. It places residents close to daily needs. Some vehicle trips disappear entirely because they can be done on foot.

    The underlying strip mall structure isn’t inherently flawed. It’s adaptable. What makes it unpleasant is the dominance of parking and the lack of integration with surrounding neighborhoods.

    If the parking requirement shrinks, whether because of changing transportation patterns or different policy choices, the opportunity is straightforward. Build homes where the asphalt is. Connect surrounding neighborhoods to the shops. Let the existing storefronts function as a local town center rather than a drive-to outpost.

    The difference between a hostile shopping center and a livable neighborhood might be less about architecture and more about what we decide to store on the land in front of it.

  • The Toll No One Charges but Everyone Pays

    When you drive on a busy road, you always pay a price. The real question is how you pay it, with money or with time.

    In most of the United States, we have chosen to charge drivers in time. There is no toll for entering a congested road, but during peak hours you might spend an hour commuting when the same trip would take 20 minutes with no traffic. Because there is no monetary cost, the time price people are willing to tolerate rises dramatically, and congestion becomes the norm.

    The problem with using time as the cost is that it creates bad incentives, especially around carpooling.

    Imagine two people traveling from the same neighborhood to the same restaurant across town. They could drive separately or share a car. If traffic makes the trip take an hour either way, there is no time savings from sharing. Each person still loses an hour. Given that, many people will choose separate cars so they can control their own music, podcasts, or comfort. Time-based pricing gives no reward for reducing the number of vehicles on the road.

    Now consider the same trip with congestion pricing. Suppose there is a $10 toll, and as a result traffic flows freely and the trip takes 20 minutes. If the two people drive separately, they pay $20 total. If they share one car, they pay $10 total, or just $5 per person. Suddenly, carpooling has a clear, direct benefit.

    That incentive scales. Larger groups are pushed toward higher-capacity vehicles like buses and trains, where the toll cost per person becomes almost negligible. A $10 toll split among 20 bus riders is just 50 cents each. At that point, the toll barely matters, especially if it is offset by fares.

    Once pooling becomes economically attractive, this also opens the door to entirely new transportation options. Private bus services, pooled taxi services, and on-demand shuttles become much more viable in a congestion-priced world. When the road cost is shared across many riders and travel times are predictable, these services can compete effectively with private cars while offering convenience and flexibility that traditional public transit may not always provide.

    This shift matters because traffic engineers should not be optimizing for the number of cars moved on a road. They should be optimizing for the number of people. Congestion pricing encourages fewer vehicles to carry more people, which reduces traffic and moves everyone faster.

    There are secondary benefits too. Revenue from congestion pricing can fund better public transportation, improving affordability and access. Wealthier drivers can still choose to pay higher tolls to use private cars during rush hour, as long as traffic keeps flowing and high-capacity vehicles are not stuck.

    In fact, if congestion pricing truly eliminates traffic, some dedicated bus lanes may become less necessary. Their primary purpose is to help buses avoid congestion. If congestion disappears for everyone, the system becomes simpler and more flexible, even on roads where bus lanes are not feasible.

    In short, you pay the cost of driving either way. Making that cost monetary instead of temporal creates far better incentives, rewards efficient behavior, and allows cities to move more people in less time.

  • Luxury Overnight Buses as an Alternative to Flying

    I recently came across an intercity bus service starting up in Europe that I haven’t been able to stop thinking about. It’s an overnight bus, but not in the usual sense. Instead of upright seats and cramped legroom, the buses are built around fully lie-flat seats, similar to what you’d find in first class on a long-haul flight.

    Floor plan of a European luxury sleeper bus

    The idea is almost obvious once you hear it. Airlines already know how to make seats people can actually sleep in for eight or ten hours. So what happens if you take that same idea and put it on a bus, where the trip is slower but much cheaper to operate? At that point the comparison is no longer bus versus plane, but time versus comfort.

    If the entire trip happens while you’re asleep, the extra travel time matters a lot less. You board at night, go to sleep, and wake up somewhere else. There’s no early alarm, no airport security, and no sitting upright trying to doze for ninety uncomfortable minutes. In the best case, it barely feels like travel at all.

    Where this really starts to make sense is for trips that are just a bit too long to drive comfortably in one day. I live in Charlotte, North Carolina, and some of my family lives in Orlando. That drive is about eight hours on a good day. It’s long enough that you lose a full day to it, but short enough that flying can feel like overkill once you factor in the airport time.

    An overnight bus fits almost perfectly there. You leave Charlotte around 10 p.m., sleep through the night, and arrive in Orlando early the next morning. You didn’t spend the day driving, and you didn’t spend the night in a hotel. You just… arrived.

    That said, there’s one part of the European implementation that I think really works against the whole idea. Many of these routes include multiple intermediate stops. A single bus might start in one city, stop in several others along the way, and keep going past your destination.

    That sounds efficient on paper, but it creates a real problem for passengers. If you’re getting off at one of those intermediate cities, you may be forced to wake up at two or three in the morning. At that point the magic is gone. You’re tired, it’s dark, and there’s nowhere to go. Now you need a hotel anyway, which defeats one of the biggest advantages of the service.

    I think these routes should be strictly point to point. One bus per corridor. Charlotte to Orlando. Charlotte to Tampa. Charlotte to Miami. Airlines fill planes on these routes every single day. There’s no reason a well-designed overnight bus couldn’t fill up too.

    Going point to point also opens up something I think is crucial: treating the bus more like a hotel than a vehicle. Imagine arriving at your destination at 6 a.m. but not being forced off the bus immediately. Instead, your ticket includes a checkout time, maybe 9 or 10 a.m. If you want to get up and leave right away, you can. If you want to keep sleeping, you can do that too.

    That small change makes a huge difference. It turns the experience into transportation plus lodging, rather than just a long ride.

    Once you think about it that way, other details fall into place. Clean bathrooms are non-negotiable. Food should be available, even if it’s simple. A small breakfast option at the arrival depot would make mornings feel less rushed. Luggage handling could work the same way hotels do, with a claim system so people can leave when they’re ready instead of all at once.

    In theory, you could even plan trips where you string together several of these overnight routes and barely use hotels at all.

    This kind of service feels especially relevant in the United States. We used to have a far more extensive passenger rail network, but much of it is gone now, and recreating it at a national scale would take decades. What we do have is a massive interstate highway network that already connects most major cities.

    Intercity buses can take advantage of that immediately. The infrastructure is already there, and it’s effectively subsidized. For trips in the seven-to-ten-hour range, a comfortable overnight bus could easily compete with flying for a lot of people.

    Looking further ahead, this gets even more interesting when you consider autonomous driving. Long highway stretches are exactly where autonomy performs best. If the bus doesn’t need a human driver, that role could shift toward an onboard attendant instead. Someone whose job is to help passengers, keep things running smoothly, and generally make the experience better.

    That kind of staffing change could actually improve the service rather than cheapen it.

    This isn’t going to replace planes, and it’s not meant to. Nobody is taking an overnight bus from the East Coast to the West Coast. But for the many city pairs that sit in that awkward middle distance, this feels like a genuinely underexplored option.

    I would be surprised if something like this doesn’t eventually appear in the U.S. Once someone gets the execution right, it’s the kind of idea that feels obvious in hindsight.

  • I had to take an Uber to cross the street in Charlotte

    I was recently heading out to dinner with my girlfriend at a restaurant in one of Charlotte’s suburbs. Before I left, I checked the transit options and noticed there was an express bus that went straight from Uptown, near my apartment, to a stop only about half a mile from the restaurant. Perfect.

    The timing lined up almost exactly with our reservation. The bus would get me there about fifteen minutes early, which seemed like plenty of time to walk the short distance to the restaurant. It was only half a mile away, which should take no more than ten minutes on foot.

    At least, that’s what I thought.

    When I got off the bus, I opened the map and had a sudden realization: there was no way to cross the street. The “street,” as it turned out, was an eight-lane arterial road with traffic moving around fifty miles per hour. In other words, a classic American stroad.

    Looking at the map more closely, I saw that the nearest crosswalk was about one and a half miles away. So to reach the restaurant legally, I would have had to walk a mile and a half to that crosswalk, then another mile and a half back on the other side. And as if that weren’t absurd enough, the entire route lacked sidewalks.

    In total, that would have been a three-mile trip to cover what was, in a straight line, about two-hundred feet. Apple Maps estimated it would take an hour and seven minutes.

    This was not what I expected, and I definitely didn’t have an hour to spare. So I had two choices: jaywalk across an eight-lane stroad, or hail a ride.

    Jaywalking wasn’t an option. Between the speed of the cars and the lack of any safe refuge in the median, I would’ve been taking my life into my own hands. So I pulled up the app and ordered a car.

    Ten minutes later, a Lyft picked me up and drove me across the street. The ride cost five dollars.

    What should have been a five-minute walk became a fifteen-minute ordeal that cost money and produced emissions. And by forcing me to summon a car to do something as simple as crossing the street, the design of the area made traffic worse for everyone else too. For the Lyft driver to reach me, he had to drive along the same congested, rush-hour road, adding one more car to an already overloaded system. After picking me up, he drove me across the street, dropped me off, and then merged back into that same stream of traffic, slowing down all the other drivers just a little more because there was no safe way to walk.

    This isn’t just an inconvenience. It’s an example of how poor street design isolates transit riders and pedestrians while making traffic worse for motorists. The city provided a bus that went right to where people might want to go, but the surrounding infrastructure made it functionally useless.

    If Charlotte wants to be a city where people can move around without a car, it needs to do more than run buses. It needs to connect those buses to sidewalks, crosswalks, and safe, human-scaled streets.

    Because no one should ever have to pay five dollars and wait ten minutes just to cross the street.

    My Lyft crossing the street

  • Death by Poor Urban Planning

    Every time we hear about a tragic car crash, the story is usually framed around individual blame. Someone made a mistake, someone wasn’t paying attention, or someone was reckless. But beneath these headlines lies a harder truth. Our urban design itself creates the conditions for these deaths. Poor urban planning is not just an inconvenience or an aesthetic misstep. It is a public health crisis that costs lives every day.

    In too many American cities, Charlotte included, roads are engineered like highways. They are wide, fast, and hostile to anything but cars. Corridors such as Independence Boulevard prioritize vehicle flow over human life, encouraging high speeds and leaving pedestrians and cyclists exposed. In this environment, even a brief lapse of focus, just a few seconds, can turn a mistake into a tragedy.

    Accident on Independence Boulevard, Charlotte NC injuring 6 people

    Just a few hours ago, as I write this post, there was an accident on Independence Boulevard that sent six people to the hospital, one with severe life-threatening injuries. It is tempting to place all of the blame on a driver going too fast. The harder truth is that the driver was simply responding to incentives created by reckless city planning, such as wide lanes, high speed limits, and a lack of safe transit alternatives. If the road had been designed to slow speeds and protect people, it is likely this crash would not have been so devastating or have happened at all.

    And incidents like this are far from rare. The Charlotte-Mecklenburg Police Department website listed seven similar traffic events in just the past three hours alone.

    To err is human. Every driver will make mistakes behind the wheel, such as misjudging a turn, glancing at a phone, or reacting a second too late. A safe transportation system recognizes this reality and builds in forgiveness. Narrower lanes, slower speeds, and protective infrastructure can ensure that a mistake does not automatically mean death. But our current design does the opposite. It demands flawless driving from every user, every second. That is not just unrealistic. It is negligent.

    There is another layer to the problem. Many people simply should not be behind the wheel of heavy machinery. Teenagers, seniors, those with medical conditions, or people who are poor drivers are still forced to drive because cities have left them with no alternatives. By designing systems where car travel is the only viable option, we compel people into dangerous situations that put their lives and the lives of others at risk.

    The spread-out, car-dependent development pattern of low-density housing, long commutes, and seas of parking creates endless demand for driving at higher speeds. Strong Towns and other urbanist voices have long warned that this model is both financially unsustainable and physically dangerous. More driving leads to more crashes, and higher speeds lead to more fatalities. The math is simple, and it is killing us.

    If we want fewer deaths, we must stop pretending this is about individual failure. Real safety comes from systemic change.

    • Slower streets with narrower lanes, traffic calming, and enforced lower speed limits.
    • Safe alternatives such as protected bike lanes, sidewalks, and reliable public transit.
    • Walkable, mixed-use communities where housing and jobs are close together, reducing the need to drive.
    • Equitable design that prioritizes vulnerable road users and invests in underserved communities.

    We call crashes “accidents” as if they were unavoidable acts of fate. They are not. They are predictable outcomes of policy choices, zoning codes, and street designs. Every fatal crash reflects a system that refuses to put people’s lives above the convenience of cars.

    Poor urban planning kills. With better choices and people-first design, we can build cities where human mistakes no longer cost human lives.