Who counts us? Mobile phone data, cruise tourists and the question of transparency

Who counts us? Mobile phone data, cruise tourists and the question of transparency

The tourism agency wants to use anonymized mobile phone data to find out where cruise passengers flow on Mallorca. A sober technology — with open questions about accuracy, oversight and the political decisions tied to it.

Who counts us? Mobile phone data, cruise tourists and the question of transparency

Key question: Can anonymized mobile signals really provide reliable answers — and who later decides what happens with those findings?

Critical assessment

The Balearic tourism agency plans to analyse movements of cruise guests using anonymized mobile phone data. It concerns three months in 2025 — February, July and October — and the roughly 1.4 million cruise passengers who used the Port of Palma in 2025. In Palma, data will be evaluated by about 290 counting zones, while for the rest of Mallorca it will be done at municipal level. The measurement points: signals that phones send to masts, handovers between cells, sampled at intervals of up to 15 minutes. On paper this sounds like clean science. In reality, such procedures are fine craftsmanship and full of pitfalls.

What pure technology does not show

Mobile network data say something about signals, not about intentions. A device registered in a historic town house can belong to a day visitor or to a resident. The tender conditions demand that each person be counted only once and that different visitor groups be separated — day arrivals, cruise passengers returning to the ship, guests with accommodation on the island. Much of this depends on criteria, thresholds and assumptions that will later be embedded in the report. Small differences in network coverage, mobile operators, certain phone models or behaviour (turning off roaming, airplane mode) can noticeably change the results.

What is missing from the public debate so far

Public discussion often focuses only on the headline: more data, better planning. But three important points are rarely negotiated: First, how transparent is the methodology? When authorities present figures, local municipalities, shop owners and residents should understand how those figures were produced. Second, who has access to raw data and analyses? An anonymized delivery sounds reassuring, but without independent review trust remains fragile. Third, what consequences will be drawn from the numbers? Will timetable changes, visitor management or new fees be prepared — and on what democratic basis?

A day-to-day view of Mallorca

On the Passeig Marítim there is the smell of oil from small snack stands, street sweepers brush cigarette butts into the gutters and tour groups mix with school classes. When four cruise ships are in port on a morning, La Rambla and the alleys around Mercat Olivar fill within an hour. Voices, the clicking of camera shutters, the rumble of suitcase wheels — all of that is visible, but not always measurable. This is exactly where the practical difficulty begins: crowds follow social patterns, not just radio masts.

Concrete approaches

Those who want reliable, accountable findings should do more than buy data. Proposals that could prove effective in our practice on Mallorca:

1. Disclosure of methodology: The agency should publish the computational model, the assumptions about counting rules and the margins of error before results are used as a basis for decisions.

2. Independent review: An independent body of technicians, data protection experts and representatives of the municipalities must be given access to the processes and be allowed to carry out plausibility checks.

3. Hybrid approach: Combine mobile data with classical methods: on-site samples, traffic counts at key points, anonymous Wi‑Fi and Bluetooth measurements as well as surveys of local businesses.

4. Data minimisation and deletion deadlines: Store only the necessary aggregation levels, limit time windows and set clear deletion deadlines.

5. Local involvement: Results should be available to municipalities in interactive dashboards. Small places like Port de Sóller or Cala Millor need different measures than Palma city centre.

Concise conclusion

Technology can finally show us better where tourist pressure arises — but only if figures are produced with care, oversight and transparency. Without these ingredients a useful measurement method quickly becomes an instrument that justifies decisions instead of questioning them. On Mallorca, where a street, a market and a park are immediately tangible, it is not enough to present numbers. We need a public debate about the methods, comprehensible results and clearly named measures that should follow from the data.

In the end, the people on the island must decide how they want to be counted — and under what conditions.

Frequently asked questions

Can anonymized mobile signals reliably count visitors in Mallorca?

Mobile network data show where signals come from, not why a person is there. They can indicate crowd presence, but distinguishing visitors from residents or day-trippers depends on counting rules, thresholds, and assumptions that can change with network conditions or phone settings. Reliability, therefore, hinges on transparent methods and independent checks.

Why is transparency in data collection important for Mallorca’s tourism statistics?

Transparency ensures that methodology is disclosed, raw data or analyses are accessible for review, and potential consequences of the numbers are clear. Without this openness, figures risk being used to justify decisions rather than inform them. Public trust hinges on accountability and verifiable processes.

What would a hybrid approach to measuring Mallorca tourism look like?

A hybrid approach would combine anonymized mobile data with on-site samples, traffic counts at key points, anonymous Wi‑Fi and Bluetooth measurements, and surveys of local businesses. This helps verify signals with other sources and provides a more complete picture. It also requires clear data-minimization and review processes.

Who decides what happens with tourism data in Mallorca and who can access it?

Data governance should involve the Balearic tourism agency and local municipalities, with an independent body able to review processes. Access to methods and analyses should be available for scrutiny by relevant authorities and representatives. This balance helps ensure decisions are well-founded and democratically accountable.

How will data reporting differ between small places like Port de Sóller and Cala Millor and the Palma city centre?

Palma is divided into about 290 counting zones for analysis, while smaller places are expected to use reporting that fits their size and needs. This means tailored measures for smaller towns rather than a one-size-fits-all approach for the city centre. Local relevance is a key goal.

How are cruise passengers counted at the Port of Palma and what challenges does that involve?

The plan involves analyzing movements of cruise guests using anonymized signals, focusing on February, July, and October 2025, with Palma divided into about 290 counting zones. A key challenge is distinguishing cruise passengers from other visitors and ensuring counts reflect unique individuals rather than repeated signals. How thresholds and assumptions are applied will shape the results.

Why is it difficult to measure crowds on Passeig Marítim when multiple ships are in port?

Crowd dynamics can be hard to quantify with signals alone; groups mix with locals and students, and dense conditions can blur measurement. Visible activity doesn’t always map neatly to a single metric, illustrating the practical limits of data-based counting in real-world settings. This is a reminder that numbers need context.

What should a public debate about Mallorca's tourism data include, and how would it affect local decisions?

It should include clear methodology disclosure, independent review access, data minimization, and local dashboards that residents can understand. Such a debate helps ensure that decisions about visitor management or new measures are based on verifiable numbers and a transparent process. The goal is democratic governance that reflects local conditions.

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