Living Lab’s first economic model was for the Singapore Grand Prix in 2012. In 2025 we became a software platform: government-grade intelligence for the visitor economy
Climate risk tourism assessment. Living Lab connects the earlier, faster-moving signals a physical-risk survey does not cover, source-market booking patterns, sustainable-fuel cost paths, carbon pricing, insurer repricing, and vectorises them into demand scenarios an investment committee can price against. Reference data is published by the UNFCCC.
Attributes what has already moved: which source markets shifted timing after a hot summer, which routes lost economics as fuel cost rose, where insurance repricing reached financing cost. Signal137 shows the committee what the demand base has done, so the exposure is measured rather than described.
Tests the asset, route, or destination forward: a heat-days path, a sustainable-fuel cost path, an insurance-repricing signal, run through the same economic model used everywhere else. Where peak-season demand erodes and where shoulder-season demand forms. Demand137 brings the scenario range to the table at the point of decision, not after it.
| Product | Your question | You get | What it changes |
|---|---|---|---|
| Demand137 | Whether to finance or develop a heat-exposed or coastal asset | A forward demand scenario under climate and transition assumptions, not only a structural exposure map | The investment priced against demand resilience, not structural exposure alone |
| Demand137 | Does the route or airport investment stay viable under transition cost pressure? | Route-level demand and cost scenarios reflecting sustainable-fuel price and carbon-cost paths | Routes and capacity chosen that hold across more than one cost scenario |
| Demand137 | Where to direct tourism investment as climate patterns shift | A scenario range across base, downside, and opportunity, not a single forecast | Capital directed toward demand that will materialise |
| Demand137 | Where is the opportunity in the same shift? | Shoulder-season and northern-latitude demand capture as travellers move timing | Investment or marketing aimed at the demand the shift is creating |
| Demand137 | Can we substitute our own climate assumptions? | Yes. A lender's, insurer's, or internal climate desk's assumption set dropped in | The scenario runs on the committee's own house view |
| Demand137 | How far forward do the scenarios run? | Matched to the investment or financing horizon: a booking cycle to a multi-year hold | The horizon is the decision's, not a default |
| Signal137 | What has the demand base already done? | Source-market timing, route economics, and financing cost attributed to the climate signal | The exposure measured, not described |
| Both | How is this different from a physical climate-risk assessment? | It models demand and revenue, which usually move first; the physical survey models the structure | Complementary, not competing, and stated as such |
| Both | Does this replace our insurer's or lender's requirement? | No. It produces the demand-side evidence those requirements do not cover | The case put to the insurer or lender is stronger, not substituted |
| Both | What if the scenarios show the asset is exposed? | Reported as found | A comparison only useful when it confirms the answer wanted is reassurance, not evidence |
International visitors to the United States fell 4.2% in 2025, the first annual decline since the pandemic, while worldwide travel grew. The spending did not disappear. It moved. Five economies are absorbing most of it, and the shift now looks structural.
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.
International arrivals to the United States fell 4.2% in 2025 while worldwide travel grew about 4%. Living Lab’s displacement model puts the forgone spending at roughly US$50bn, and about US$10.6bn of it within reach of five economies. Each is limited by a different constraint.
Most destinations run near capacity for part of the year and well below it for the rest. A visitor added in the peak displaces one already there. A visitor added in the shoulder fills an empty room and is served by staff who would otherwise be idle. Almost no destination runs the calculation before fixing a date.
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.
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