The visitor economy is one of the fastest levers a city holds. Events, hotels, and routes turn a good decision into jobs and growth within a season, and Living Lab shows which ones are compounding and where the next growth is, district by district.
One model for the whole place. Every event on the calendar, every hotel market, every route into the city, and every force acting on demand, in the same time index. Signal137 shows what last year returned, district by district, so the city sees what it built. Demand137 shows what next year could return, on the same numbers, so the calendar and the investment are set to grow it.
What last year’s calendar returned to the city, and to which district. Each event traced through accommodation, transport, retail, and food service to where the spending landed. It reports retained value, GVA, tax and jobs per event and per district on one method, so the events and districts that are compounding stand out. Resident sentiment from social listening sits alongside, so growth and liveability are read together.
Where demand will form, and how much more the place can grow into. The access ceiling for every district: how many people the routes, hotels and transport can deliver, and where added capacity raises it most. Candidate events, venues, and developments scored against the calendar, the capacity, and the record of what came before, so the city backs the ones with the most headroom. Rules and licences tested against the system before they are signed. The return on acting now priced alongside the cost of waiting.
| Product | Your question | You get | What it changes |
|---|---|---|---|
| Demand137 | Where to concentrate or spread visitor demand across districts | Place-level demand and capacity, not a citywide average | Events and marketing go where the place can absorb them |
| Demand137 | Whether a new event, venue, or development is worth the disruption | A public value case stating cost, return, and displacement at district level | A funding position the council can hold under scrutiny |
| Demand137 | When capacity pressure will bite, and where | Forward demand and pricing signals for hotels and short-term rentals, by area | Room to act on licensing or capacity ahead of the peak, not after the complaints |
| Demand137 | What a short-term rental rule would do to the district | The yield, displacement, and fiscal effect of each licensing level | Rules are tested before they are signed |
| Demand137 | What happens if we do nothing? | Base, downside, and supported scenarios with a stated counterfactual | Acting now and waiting are compared on the same terms |
| Signal137 | Is growth reaching the local economy, or leaking out of it? | Retained value by district and by sector, with the leakage named | A local benefit case built on the same evidence as the growth target |
| Signal137 | Which neighbourhoods are absorbing the pressure? | Event cadence, accommodation pressure, and resident sentiment, street by street | Growth and pressure weighed where they actually land |
| Signal137 | What did last year's calendar deliver, district by district? | Every event ranked on jobs, tax, GVA, and retained value, on one method | The events that pay back are supported, and the mix is optimised |
| Signal137 | What do I tell the council at year end? | Monthly, seasonal, and annual roll-ups across the whole place | One account of what the visitor economy delivered, not five departments' versions |
| Both | Who holds this, and where? | Model, data, and a trained team inside your jurisdiction | The capability survives the change of officer or consultant |
Each event is ranked on retained revenue, GVA, tax and jobs, per district, so the city sees which events bring the most home and backs more of them.
The model follows the visitor from the event to where they sleep, eat, and spend. Living Lab maps where the revenue lands, district by district, and where a hotel, a transport link, or a package would capture more of it next time, with the counterfactual stated so the gain is real.
Events create demand along specific corridors: routes, hotel zones, transport links. The access ceiling shows where the corridor is already full and where investment adds the most.
Each candidate event is modelled against the city’s capacity profile, the calendar, competitor dates, and the retained-revenue record of comparable events. The binding constraint is named for each. The city goes after the events with the most headroom and frees the budget to win them.
Tax yield, employment and resident quality of life are modelled together, district by district. The city sees where growth and liveability lift each other, and sets the calendar and the rules so both keep rising.
Oman has announced plans for a high-altitude destination at Jabal al Akhdar, combining sports training, wellness, and tourism at 2,400 metres. It is the kind of project a Gulf government can commit to at once, and the kind that lives or dies on a demand case nobody has yet published.
A major event is a rallying point for civic pride, and just as easily a rallying point for protest. The difference is usually whether residents can see what the event does for their street, in terms they recognise, before the road closures start.
The owners of the Bulls and the Blackhawks are putting a reported US$7bn into 55 acres around the United Center: housing, a music hall, a hotel, retail, a park. The arena already hosts more than 200 events a year. The question a developer should ask is what the other 165 nights are worth.
Tourism is close to a tenth of the world’s output and employment, and almost every government still plans it in pieces. A country that governs its visitor economy as one system keeps more of what it pays for. On an illustrative US$20bn economy, five points of retention is US$1bn a year.
We turn messy event and tourism data into decisions that help communities grow. Bring curiosity and rigour. We will hand you questions nobody has answered yet.
