PONOPT FIELD NOTES · Overtourism

Measuring Resident Sentiment Before Overtourism Becomes a Crisis

Measure resident sentiment with repeatable surveys, neighbourhood segmentation and capacity indicators before tourism tension turns into a crisis.

Most destinations discover resident anger only after protests or press crises. The fix is a continuous, repeatable measurement programme built on an annual resident survey, neighbourhood-level segmentation, and a small stable set of indicators such as perceived benefit, perceived harm, capacity limits and desired growth. Barcelona's observatory has run citizen perception surveys since 2007; the trend data it produces show how deteriorating sentiment can trigger management action long before discontent hardens into confrontation.

Key takeaways

  • One-off surveys mislead: value comes from an annual, repeatable series with identical wording so year-on-year movement is comparable.
  • Segment by neighbourhood and group: in Barcelona in 2023 the share seeing tourism as harmful reached 28.2% among residents of tourist-heavy areas versus 23% citywide.
  • Track a small stable core set (benefit, harm, capacity, desired growth) plus induced impacts such as housing, noise, prices and crowding.
  • Treat resident sentiment as an early-warning indicator: Barcelona's beneficial-perception figure fell to 59.6%, the lowest since the series began in 2007, before policy action intensified.
  • Fill gaps between surveys with continuous signals: mapped complaints, noise and crowding registries, short-term rental data and social listening.
  • Align monitoring with recognised frameworks such as the INSTO 'local satisfaction' mandatory issue area so results are comparable across destinations.
  • Publish results and tie them to concrete measures, or the survey remains an academic exercise without legitimacy.

Why visitor numbers hide the coming storm

Visitor arrivals, occupancy and spending dominate destination reporting, but they say nothing about how residents experience tourism. Rising flow can run alongside rising resentment for years before it surfaces. Because pressure is distributed unevenly, aggregate statistics conceal the friction building inside specific districts and among specific groups of residents.

Tension accumulates in discrete hotspots — the historic core, transit corridors, short-let clusters — and among people who do not work in the industry or live next to attractions. Measuring only the city-wide average therefore delays detection. Sentiment must be disaggregated geographically and demographically, which is precisely what Barcelona's tourism observatory does with surveys it has run since 2007, reporting separately on residents who work in the sector and on those living in heavily visited neighbourhoods.

Choose a small, stable core of indicators

A set of stable questions should repeat every year so movement is meaningful: the share who see tourism as generally beneficial, the share who see it as harmful, the share who believe the municipality has reached its capacity to absorb visitors, the share who want to keep attracting more tourists, and disruption probes — crowding of public space, price rises, noise and housing pressure.

A stable series becomes a tool in itself. In Barcelona's 2023 survey, 70.9% saw tourism as beneficial, 23% as harmful, and 61.5% believed the city had reached its capacity limit. In the following reporting cycle the beneficial figure dropped to 59.6% — the lowest in the series that began in 2007 — while nearly three residents in four said capacity was being reached.

Keep wording and scales identical from wave to wave: add new modules, but never rephrase the core items, or the comparison collapses. Induced effects — housing, noise, employment, changes in residents' own habits — deserve separate treatment, because they are often the true driver of rejection rather than tourists as such.

Run a survey that is repeatable, not episodic

Cadence: at least one annual representative survey in the same season to isolate seasonality, plus optional modules at peak and off-peak. Barcelona's 2023 edition drew on roughly 1,859 interviews conducted between spring and autumn, enough headroom for district-level cuts.

Sampling: stratify by district, age and a respondent's link to the industry — whether they work in tourism and live among short-term lets. Guarantee minimum cell sizes for tourist-heavy zones so local deterioration is not averaged away.

Platform trade-offs: telephone and face-to-face reach older and less connected residents and support longer instruments; online panels are cheaper and faster but skew young and connected. Barcelona combines approaches in one hybrid design. Focus groups and in-depth interviews add the 'why' behind the numbers and help read neutral shares and refusals.

Fix the owner of the instrument — a municipal data office, tourism observatory or independent researcher. Independence and continuity matter more than convenience: whoever funds destination marketing should not be the sole owner of sentiment measurement.

  • Record the collection method each year (phone, face-to-face, online) to keep comparisons valid.
  • Add questions on the profile of 'less desirable' visitors — they give policy levers.
  • Also measure the silent: a growing neutral share often precedes a swing.

Fill the gaps between surveys with continuous signals

An annual survey leaves long blind windows. Destinations pair it with faster signals: a map of resident complaints to municipal services by topic and district, noise and crowding registries, short-term rental registration data and social listening on neighbourhood forums. These tripwires fire before the next wave is due.

Recognised frameworks help here. The UN Tourism INSTO observatory network treats 'local satisfaction' as one of several mandatory issue areas and recommends contextual indicators such as a Tourism Intensity Index (nights or visitors per resident) to read perceptions against actual pressure; observatories such as South Tyrol's have presented such intensity measures within INSTO.

Composite approaches fold economic, socio-cultural and environmental perception into one index for trend-watching, but the raw items must stay visible to managers so they can see which driver is moving — housing or crowding. Note the caveat: digital signals are biased toward the loudest and most connected, so treat them as prompts for field verification, not as a replacement for a representative survey.

Interpret results and set thresholds

There is no single 'correct' satisfaction level: thresholds must be destination-specific and set from your own baseline. Useful reference points are the share who say capacity has been reached, the gap in perceived harm between tourist-heavy and other neighbourhoods, and the share who want to reduce tourism. Deterioration in several of these at once, or a fall below a previously observed low, should trigger management review.

Read sentiment against tourism intensity and economic dependence: communities that rely heavily on the industry tolerate more, so an identical percentage can mean different risk in different places. Read trends, not single points — Barcelona's own series dipped and recovered as management measures and tax policy were introduced. Also note a 'crowding paradox': some destinations report sustained complaints of overtourism even as sentiment metrics improve or arrivals rise.

Stage models of community response — from euphoria and apathy through irritation to antagonism — help locate which stage a neighbourhood is in and which measures remain possible before conflict escalates.

  • One indicator is noise; three simultaneously deteriorating indicators are grounds to act.
  • A rising neutral share with a falling 'benefit' share often precedes a sharp rise in 'harm'.
  • Watch seasonality: peak waves can worsen the picture without changing the annual trend.

Turn measurement into policy levers

The purpose is not a report but earlier, better-targeted decisions. When indicators cross thresholds, a destination can activate options: redistribute flows (booking windows, permits for peak spots, promotion of off-peak and secondary attractions), regulate pressure points (short-term rental limits, cruise caps, tour-group rules) and address the induced impacts residents name — housing and noise.

Visibly reinvesting tourism revenue in resident-facing services preserves support even under tough measures. Publishing results and stating which measure each threshold triggers converts the survey from an exercise into an accountability tool and blunts accusations of arbitrariness.

Budget and ownership: build monitoring into the standing mandate of a municipal data office or tourism observatory so it survives election cycles and industry downturns. Barcelona's long series proves the point — it outlived both the peak of discontent and the pandemic collapse.

Resident Sentiment Early-Warning Audit: a field checklist

Run through these points before launching or revising a measurement programme. Every 'no' is a place where crisis can build unnoticed up to the protest stage.

  1. Define the reporting unit: city-wide versus district, with dedicated cells for tourist-heavy neighbourhoods.
  2. Fix a stable core set: benefit, harm, capacity limit, desired growth, crowding/price/noise/housing disruption.
  3. Set cadence and season: one annual representative wave plus optional peak and off-peak modules.
  4. Record the data-collection mix (phone, face-to-face, online) and keep it stable year to year.
  5. Stratify sampling by district, age, tourism employment and residence in short-let zones.
  6. Add a qualitative layer (focus groups, interviews) to explain the numbers.
  7. Define continuous signals: complaint mapping, noise and crowding logs, short-let registrations, social listening.
  8. Set thresholds and trigger rules tied to concrete management responses.
  9. Publish results with neighbourhood breakdowns; state which measure each threshold activates.
  10. Review indicators annually; add modules without rephrasing core items.
  11. Maintain the historical series and baseline, noting seasonality effects.
  12. Assign ownership to a stable institution (municipal data office or tourism observatory).

Questions people ask

Which indicator rises first when resident discontent is building?

Rather than any single metric, watch a combination. Early signals are a rising share who see tourism as harmful, a rising share who believe the destination has reached its absorption capacity, and a growing neutral group while the 'benefit' share falls. In Barcelona in 2023, perceived harm reached 28.2% among residents of heavily visited neighbourhoods versus 23% citywide — divergence between districts usually precedes movement in the city average.

How often should we survey residents and how large should the sample be?

Barcelona's practice is an annual wave of roughly 1,800–1,900 interviews in the same season to control for seasonality. Use a representative sample stratified by district, age and industry link, with enough respondents in tourist-heavy quarters. Between annual waves, add compact peak and off-peak modules plus continuous signals such as complaints, noise data and rental registrations.

Why do residents in tourist-heavy neighbourhoods answer differently, and how do we capture that?

Pressure is uneven: people who live beside attractions and short-let clusters face crowding, noise and price rises daily rather than in holiday season. Without dedicated sampling cells, their worsening view is averaged away. Stratify by district and report separately for those working in tourism and those living in heavily visited areas, as Barcelona does.

Can social media replace resident surveys?

No — it can only complement them. Social and complaint channels are fast and cheap but skew toward the loudest and most connected voices, and emotional tone says little about a silent majority. Use them as tripwires to spot emerging topics and districts, then verify with field checks and confirm with a representative survey.

What share of residents being against tourism should trigger action?

There is no universal number: thresholds are set against your own baseline and context. Useful anchors are the share saying capacity has been reached, the harm-perception gap between tourist-heavy and ordinary districts, and the share wanting fewer tourists. In Barcelona, the drop in 'benefit' to 59.6% — the lowest since 2007 — with nearly three in four saying capacity is exhausted already functioned as a signal to intensify management.

Who should own the monitoring programme to keep it impartial and durable?

A stable institution independent of destination-marketing budgets: a municipal data office, tourism observatory or independent research partner. That owner preserves methodological continuity across election cycles and industry downturns and reduces the temptation to polish results. In Barcelona the instrument sits with the opinion-studies department of the municipal data office.

Sources and further reading

Sources were checked when this page was generated. Confirm changing dates, rules and prices with the original publisher.

  1. First INSTO Insights Webinar: Measurement of Local Satisfaction at the Destination LevelUN Tourism (UNWTO INSTO)
  2. Local Satisfaction: Understanding the Induced Impacts of Tourism on Local Society, Economy, Culture and EnvironmentUN Tourism (UNWTO INSTO)
  3. The OTB takes part in the first INSTO Insights webinar, focused on the measurement of local satisfaction at a destination levelObservatori del Turisme a Barcelona (OTB)
  4. Over 70% of Barcelona residents see tourism as beneficial to the cityAjuntament de Barcelona (Barcelona City Council)
  5. Tourism activity grows in employment and businesses throughout Destination BarcelonaObservatori del Turisme a Barcelona (OTB)