San Roque's mobility map looks conclusive at first glance. On a grey base, the bright points from its sensors trace an avenue, two junctions, and the entrance to a station. The technical team uses them to rank the next section of cycle lane. On screen, the neighbourhood beyond the park sends almost no signal: it appears still, uninterested in cycling, and therefore a weak candidate for investment.
At 8:15 in the morning, that neighbourhood is anything but still. A grandmother pushes a shopping trolley while taking a child to school, then turns towards the health centre. A father takes his daughter in a wheelchair along the street with the only usable dropped kerb. Two care workers change shifts at a residence and walk part of the way together because the park lighting is still out. None of those journeys leaves the same trace as a bicycle carrying a sensor. Some leave no trace at all. The counter is not lying; it counts exactly what it was designed to count. The trouble begins when that partial accuracy is mistaken for a complete picture of who is moving, what difficulty they meet, and which investment might change their day.
A use signal is not a measure of need#
Bicycle sensors answer useful questions. They can show where equipped vehicles travel, when particular flows rise, or where a familiar route breaks. They are especially helpful when they are read alongside field observation, reported incidents, and changes that have already been made. On their own, though, they do not measure the need to travel, the ability to do so, or the cost of giving up a trip. A child who cannot cycle because a junction feels dangerous does not appear as latent demand. Neither does a person who takes twenty extra minutes to avoid a flight of steps, or someone linking pharmacy, school, market, and home with bags, a buggy, or a necessary rest.
Bicycle sensors answer useful questions. They can show where equipped vehicles travel, when particular flows rise, or where a familiar route breaks.
That distinction changes urban policy. If money is allocated only where movement is already visible and countable, the city rewards the conditions that previously made easy movement possible. Streets with cyclists and measuring devices receive more attention; streets where someone stopped cycling, reduced their outings, or walked an uncomfortable route look less urgent. An absence of data can become, without anyone intending it, an argument for preserving an absence of options.
Care routes have a different shape#
The journey that fits most neatly into a spreadsheet usually has one origin, one destination, and a departure time. Care work is seldom organised that way. It may start by leaving someone at school, continue with an appointment, include a shop that allows instalment payments, return home for medication, and end at a job with a fixed shift. This is not a string of mistakes or exceptional behaviour. It is a way of arranging what must be done when different people depend on one another and services are spread across a territory.
An inclusive mobility layer should therefore ask more than how many vehicles pass along a road. It needs to ask which combinations of stops are possible, which routes recur even when they are not direct, and which points force a choice between safety, time, and physical load. In San Roque, walks to school pass a corner with no shade because the alternative has steps. The bicycle counter cannot detect that; a guided walk can reveal that several families have avoided the shorter crossing since the traffic-light sequence changed.
Paying attention to those routes does not mean turning care into another source of surveillance. The purpose is not to track each person or demand an account of private life from residents. It is to understand patterns of obstacles through proportionate methods: voluntary walks with small groups, anonymous journey diaries, workshops around printed maps, and conversations with organisations that already know everyday barriers. Rather than requiring constant location data, a process can invite people to mark a difficult point, describe what happens there, and suggest an improvement that can be checked.
The ethical distinction is as important as the technical one. A record of journeys can disclose schedules, family responsibilities, or situations of vulnerability. Safe listening requires a clear statement of why information will be used, how long it will be kept, who may see it, and how it will be deleted. People must be able to take part without an app, a smartphone, or proof that their difficulty is dramatic enough to deserve attention. If the method excludes those who cannot connect or do not trust an authority with their information, it recreates the blindness it claims to repair.
Accessibility is not a footnote#
In many plans, accessibility appears as a final compliance check: a proposed scheme is tested against a standard and an icon is added to the map. That sequence comes too late. Accessibility has to shape the choice of streets to study, the indicator that defines success, and the alternatives that are set aside. An investment can raise the number of bicycles while making a pedestrian crossing worse if it puts parking, street furniture, or separators where a wheelchair needs turning space. Success for one mode does not justify a barrier for another.
It helps to work with layers that can be read together. One layer may show cycling intensity; another can show pavement continuity, gradient, shade, safe crossings, clear width, and benches. A third can locate care destinations: schools, clinics, essential shops, day centres, stops, and homes. None can summarise urban experience by itself. Together they make better questions possible. Where is a missing connection likely to help both someone cycling and someone pushing a buggy? Which junction creates detours because its signal gives too little time? Which small intervention would unlock several linked journeys?
Change the order of the decision#
The answer is not to abandon sensors or collect data without limit. It is to place an invisibility check between measurement and budget. A short, repeatable protocol can do that.
First, the team defines the exact decision: for instance, selecting two corridors to improve in the following year. It then lists what the sensor set can see and what it cannot. Saying merely that bias exists is not enough. The relevant absences must be named for that decision: walking routes, accompanying trips, use of mobility aids, journeys carrying loads, and people who stopped travelling through an area because of risk. This inventory stops the limitation becoming a decorative warning at the end of a report.
Second, the team selects neighbourhoods or sections where data show little activity but essential destinations or repeated accessibility reports exist. It conducts accompanied walks there with different people at different times. A cane user, a family with a buggy, delivery workers, teenagers, and older residents do not need to represent the whole population. They provide situated evidence about where an assumption fails. The team records observable obstacles: an occupied dropped kerb, a slope without a resting place, a stop with no shelter from rain, an inadequate signal phase. It also records the requested solution and the uncertainty that remains.
Third, it holds a challenge session before publishing the investment list. Maps, annotated routes, and ranking criteria are shown in a format that does not require technical expertise. Participants can correct an interpretation, identify a missed route, or disagree with the proposed remedy. The session should not promise that every request will be built. It should promise traceability: what was heard, what changed, what did not change, and why.
Finally, the completed work is assessed using the question that started it: who can now travel with less effort or risk? Counting more bicycles may form part of the answer, but cannot be the only answer. It also matters whether the pavement remains clear, detours shrink, crossing time is sufficient, and a linked route no longer needs extra help. An indicator that cannot observe those improvements should not decide alone.
An investment that learns to see#
Urban planning always selects part of reality. No map can contain every reason, body, and rhythm in a city. Responsibility does not mean pretending to be neutral. It means making the choices already built into each instrument visible and creating ways to correct them. A bicycle sensor can remain an excellent tool if it stops occupying the role of sole witness.
San Roque does not need residents to prove that they walk more than the counter imagines before their experience counts. It needs a process that recognises a missing signal may mean missing infrastructure, not missing interest. Before approving the corridor, the team can place three maps on the table, walk the route with people who use it, and publish the barriers it found. That modest practice changes the question from “where is visible demand?” to “which conditions stop a need from becoming visible?” It is a less comfortable question, but it produces investments that do not require people to adapt themselves to a city that never counted them.
