Trend · rank 151 of 250

Urban cooling infrastructure

Rising temperatures and urban density are increasing the need for shade, district cooling and heat refuges, making thermal protection an essential public service in cities rather than a private purchase.

Strategic InfrastructureEnergy, networks & climate resiliencecitiesclimateresilience

Second pass: Added in the second pass. Held by two of the three panel models.

Sensitivity and network position

Rank
151of 250
Sensitivity
3.3rank 228
Breadth
0of 20 scenarios High or above
PageRank
40.2rank 90
Eigenvector
4.9
Betweenness
15.1
Links
17trends at Moderate similarity or above
Composite
18.1

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Now
179
Over a year
+62%Surging
Over three years
+68%
Peak
26828 Jun 2026
Sources
Bothagreement 0.59
Coverage
18languages · 50 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (18 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English63%136+25%
French5%178+55%
Japanese5%111−38%
Chinese4%90−10%
Spanish4%113+8%
German4%258+145%
Portuguese3%77−6%
Persian2%67−28%
Russian2%143+24%
Korean2%83−53%
Dutch1%113+33%
Polish1%106−7%
Italian1%176+88%
Arabic1%152+100%
Malay0%146+107%
Vietnamese0%129+31%
Turkish0%136+49%
Hebrew0%132+24%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

Singapore

South Korea

United Arab Emirates

United States

China

Australia

Malaysia

Netherlands

Canada

India

New Zealand

Pakistan

100

72

49

40

34

26

23

23

19

18

18

18

The 12 highest of 50 nations with a reading.

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English147−15%+48%+89%
EuropeGoogle in 5 countries + Wikipedia in German, French, Italian, Polish, Dutch174−4%+93%+163%
Indo-PacificGoogle in 8 countries + Wikipedia in Japanese, Chinese, Korean, Vietnamese, Malay115−26%−3%+77%
South AsiaGoogle in 1 country97−52%+44%+90%
Gulf and Middle EastGoogle in 2 countries + Wikipedia in Persian, Arabic, Turkish, Hebrew87−30%+55%−22%
Latin America and CaribbeanGoogle in 1 country + Wikipedia in Spanish, Portuguese85−7%−9%−40%
Russia and EurasiaWikipedia in Russian143+25%+24%+105%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
AustraliaGoogle103−55%+24%+56%
BrazilGoogle + Wikipedia in Portuguese76+10%−13%−50%
CanadaGoogle178−27%+127%+404%
FranceGoogle + Wikipedia in French189+6%+102%+176%
GermanyGoogle + Wikipedia in German229−1%+190%+423%
IndiaGoogle97−52%+44%+90%
IndonesiaGoogle139−7%+12%+159%
ItalyWikipedia in Italian176+15%+88%+143%
JapanGoogle + Wikipedia in Japanese107−14%−29%+42%
South KoreaGoogle + Wikipedia in Korean114−53%−8%+167%
RussiaWikipedia in Russian143+25%+24%+105%
TürkiyeGoogle + Wikipedia in Turkish98−22%+116%−7%
United KingdomGoogle196−3%+114%+315%
United StatesGoogle + Wikipedia in English144−13%+42%+78%

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
3 · ModerateA major disaster disables the national economic core S07Energy, climate and resources
1 · Very lowHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
0 · Not relatedCritical trade divides into rival blocs S01Economic and trade
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedA regional war closes a globally important sea route S03Geopolitical and security
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA verified Middle East settlement restores access S14 ↗Geopolitical and security
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health
0 · Not relatedA live outbreak proves rapid distributed pandemic defence S20 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
5 · Very highUrban population concentrationEnergy, networks & climate resilience61
5 · Very highResilient construction & asset adaptationEnergy, networks & climate resilience194
4 · HighInfrastructure ageing & maintenance backlogEnergy, networks & climate resilience39
4 · HighDams, reservoirs & flood defenceEnergy, networks & climate resilience137
4 · HighEarly-warning coverageEnergy, networks & climate resilience204
3 · ModerateLocal & city government capacityState capacity & governance11
3 · ModerateTelecom network resilienceEnergy, networks & climate resilience35
3 · ModerateDistributed powerEnergy, networks & climate resilience81
3 · ModerateWater treatment & desalinationEnergy, networks & climate resilience89
3 · ModerateFirm & black-start capacityEnergy, networks & climate resilience119
3 · ModerateClimate change & physical riskEnergy, networks & climate resilience138
3 · ModerateInsurance retreat & insurabilityEnergy, networks & climate resilience153
3 · ModerateSatellite connectivity expansionEnergy, networks & climate resilience167
3 · ModerateReliable energy access gapsEnergy, networks & climate resilience197
3 · ModerateDisaster risk financeEnergy, networks & climate resilience209
3 · ModerateClimate-related population relocationEnergy, networks & climate resilience221
3 · ModerateRail & mass transit expansionEnergy, networks & climate resilience224