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1 | Group Number | Primary urban and risk context | Problem statement (Can we call this the "Urban & Climate Risk Challenge" - generic) | City 1 | City 2 | City 3 | City 4 | City 5 | Member 1 | Member 2 | Member 3 | Member 4 | Member Fellow | Member GFDRR | ||||||||||||
2 | 1 | Heat + Air-Quality | Rapid urbanisation, dense built environments, and rising temperatures are amplifying urban heat island effects and worsening air pollution, leading to increased public health risks, productivity losses, and infrastructure strain. City governments must decide how to balance short-term pollution control (e.g. traffic restrictions, emissions regulation) with long-term investments in urban design (green space, ventilation corridors, building standards) and energy transitions that reduce heat and pollutant exposure. | Doha | Abu Dhabi | Mexico city | Santiago | Riyadh | ? | tbc | ||||||||||||||||
3 | 2 | Coastal cities | Cities in low-lying coastal contexts face compounding climate risks—including flooding, sea-level rise, storm surges, coastal erosion —threatening infrastructure, housing, livelihoods, and economic activity, often with little room for expansion or retreat. Governments must make difficult, long-term decisions about whether to protect, accommodate, or relocate exposed populations, balancing investments in engineered defences (such as sea walls), nature-based solutions, and climate-resilient planning, while managing trade-offs between cost, equity, economic diversification, and long-term sustainability. | Tangier | Beira | Dakar | Dar es Salaam | Phu Quoc | ? | tbc | ||||||||||||||||
4 | 3 | Mountain / Landslide + Flood Risk | Cities in mountainous terrain face intertwined risks from landslides, flash flooding, and unstable slopes, exacerbated by urban expansion into hazard-prone areas. Governments must decide how to regulate development in high-risk zones, invest in slope stabilisation and drainage systems, and balance housing demand with risk reduction, often in contexts where informal settlements are most exposed. | Almaty | Astana | Bogota | Quito | Bishkek | ? | tbc | ||||||||||||||||
5 | 4 | Delta cities | Delta cities sit at the convergence of rivers and the sea, facing compounding risks from riverine and coastal flooding, land subsidence, salinisation of water and soils, and exposure to cyclones and storm surges, often in densely populated and economically vital areas. Governments must balance investments in flood defences, drainage and water management with longer-term decisions about land use, subsidence control, and protection of livelihoods dependent on deltaic ecosystems, while navigating trade-offs between continued urban growth, ecological sustainability, and the potential need for managed retreat. | Cox's Bazar | Dhaka | Cairo | Abidjan | Kolkata | ? | tbc | ||||||||||||||||
6 | 5 | Flood and Drought, Rapidly Urbanising | Rapidly growing cities in climate-variable regions face alternating risks of flooding and water scarcity, often alongside infrastructure deficits and informal urban expansion. Governments must make critical decisions on water management—balancing flood control, drainage, and water storage—while scaling up resilient infrastructure and ensuring equitable service delivery in fast-expanding urban areas. | Abuja | Lilongwe | Bobo Dioulasso | Kinshasa | Lumbumbashi | Jerome | french speaking | french speaking | french speaking | Bakole | Pierre? | ||||||||||||
7 | 6 | Agro-Urban Cities | Cities whose workforce is still mainly rural and/or relies heavily on agricultural activities, where climate and disaster risks affect both urban livelihoods and surrounding rural production systems, and where decisions need to integrate urban planning with food systems, land use and rural–urban linkages. | Addis Ababa | Kigali | Surabaya | Medellin | Hanoi | Tigist | tbc | ||||||||||||||||
8 | 7 | Fragmented Metropolitan Megacities | Megacities where governance and administrative boundaries do not match the real urban extent, making it difficult to address exposure to natural hazards and design solutions from a truly systemic, metropolitan perspective (e.g. fragmented jurisdictions, peri-urban growth, cross-boundary infrastructure and services). | Kathmandu | São Paulo Metropolitan Region | Istanbul | Johannesburg | Lagos | ? | tbc | ||||||||||||||||
9 | 8 | Cities with large informal settlements | Cities with a large share of informal settlements, where exposure and vulnerability are concentrated in areas with insecure tenure, limited services and weak enforcement, requiring tailored approaches to upgrading, risk reduction and inclusive governance. | Nairobi | Rio de janeiro | Mumbai | Manila | Jakarta | ? | tbc | ||||||||||||||||
10 | 9 | Displacement-Affected Cities | Camps and/or cities of displaced populations, where governance arrangements, service delivery, and data availability differ significantly from “standard” municipal contexts, and where risk management must be coordinated with humanitarian actors and often short planning horizons. | Juba | Beirut | Kampala | Goma | Amman | Taban | tbc | ||||||||||||||||
11 | 10 | Small island cities | Small island cities face acute exposure to tropical cyclones, storm surges, sea-level rise, and coastal erosion, compounded by limited land area, constrained natural resources, and heavy dependence on external supply chains for food, energy, and reconstruction. Governments must make difficult decisions about how to strengthen critical infrastructure, safeguard freshwater and coastal ecosystems, and diversify narrow economic bases, while balancing short-term disaster recovery with long-term investments in climate resilience and the risk of permanent population displacement. | Kingston | Suva | Apia | Port-au-Prince | Castries | ? | tbc | ||||||||||||||||
12 | 11 | Heat + Flood + Seismic | Cities in this region face overlapping risks from heatwaves, episodic flooding, and seismic activity, placing pressure on ageing infrastructure and dense urban cores. Governments must prioritise investments that enhance multi-hazard resilience—retrofitting buildings, upgrading drainage systems, and improving emergency preparedness—while navigating trade-offs between preserving historic urban fabric and ensuring safety and climate resilience. | Belgrade | Chișinău | Izmir | Tirana | Ankara | IN RESERVE | IN RESERVE | IN RESERVE | IN RESERVE | IN RESERVE | IN RESERVE | ||||||||||||
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14 | Jakarta, İzmir, Chattogram, Cox's Bazar, Dar es Salaam, Dakar, Phu Quoc, Addis Ababa, Cairo transport, Surat monitoring, and several Serbia/Türkiye/Kazakhstan/Moldova government portals show strong or good source availability. | |||||||||||||||||||||||||
15 | Abuja, Quito, Durrës, Tirana, Ankara, Johannesburg, Phu Quoc, Mombasa, and Nakuru should receive a final manual download/licensing check before sprint assignment because some sources are not fully open, are mostly national rather than city-specific, or are strong only for hazard/risk rather than all urban categories. | |||||||||||||||||||||||||
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17 | city duplicate check | duplicate? | Strength of data? | |||||||||||||||||||||||
18 | Abidjan | FALSE | Good | |||||||||||||||||||||||
19 | Abu Dhabi | FALSE | #N/A | |||||||||||||||||||||||
20 | Abuja | FALSE | #N/A | URBAN CLIMATE RISK LAB | ||||||||||||||||||||||
21 | Addis Ababa | FALSE | Good | |||||||||||||||||||||||
22 | Almaty | FALSE | #N/A | SPRINT 1 | ||||||||||||||||||||||
23 | Amman | FALSE | #N/A | |||||||||||||||||||||||
24 | Ankara | FALSE | #N/A | GROUP 1 | ||||||||||||||||||||||
25 | Apia | FALSE | #N/A | |||||||||||||||||||||||
26 | Astana | FALSE | #N/A | CITY TYPE: | ||||||||||||||||||||||
27 | Beira | FALSE | #N/A | PROBLEM STATEMENT: | ||||||||||||||||||||||
28 | Beirut | FALSE | #N/A | … | ||||||||||||||||||||||
29 | Belgrade | FALSE | #N/A | |||||||||||||||||||||||
30 | Bishkek | FALSE | #N/A | CHALLENGES DISCUSSED (bullet points): | ||||||||||||||||||||||
31 | Bobo dioulasso | FALSE | #N/A | |||||||||||||||||||||||
32 | Bogota | FALSE | #N/A | Note: Consider direct and indirect, and physical, social, economic, environmental impacts | ||||||||||||||||||||||
33 | Cairo | FALSE | Good | |||||||||||||||||||||||
34 | Castries | FALSE | #N/A | 1 … | ||||||||||||||||||||||
35 | Chișinău | FALSE | #N/A | |||||||||||||||||||||||
36 | Cox's Bazar | FALSE | Strong | 2 … | ||||||||||||||||||||||
37 | Dakar | FALSE | #N/A | |||||||||||||||||||||||
38 | Dar es Salaam | FALSE | #N/A | 3 … | ||||||||||||||||||||||
39 | Dhaka | FALSE | Strong | |||||||||||||||||||||||
40 | Doha | FALSE | #N/A | 4 … | ||||||||||||||||||||||
41 | Goma | FALSE | Good | |||||||||||||||||||||||
42 | Hanoi | FALSE | #N/A | 5 … | ||||||||||||||||||||||
43 | Istanbul | FALSE | #N/A | |||||||||||||||||||||||
44 | Jakarta or Cape Town | FALSE | #N/A | 6 | ||||||||||||||||||||||
45 | Johannesburg | FALSE | #N/A | |||||||||||||||||||||||
46 | Juba | FALSE | #N/A | |||||||||||||||||||||||
47 | Kampala | FALSE | #N/A | DATA TYPES valuable for that context | ||||||||||||||||||||||
48 | Kathmandu | FALSE | #N/A | |||||||||||||||||||||||
49 | Kigali | FALSE | #N/A | |||||||||||||||||||||||
50 | Kingston | FALSE | #N/A | |||||||||||||||||||||||
51 | Kinshasa | FALSE | Good | |||||||||||||||||||||||
52 | Kolkata | FALSE | Good | DATA inventory: | ||||||||||||||||||||||
53 | Lagos | FALSE | #N/A | |||||||||||||||||||||||
54 | Lilongwe | FALSE | #N/A | |||||||||||||||||||||||
55 | Lumbumbashi | FALSE | #N/A | |||||||||||||||||||||||
56 | Manila | FALSE | #N/A | |||||||||||||||||||||||
57 | Medellin | FALSE | #N/A | |||||||||||||||||||||||
58 | Mexico city | FALSE | #N/A | |||||||||||||||||||||||
59 | Mumbai | FALSE | Good | |||||||||||||||||||||||
60 | Nairobi | FALSE | #N/A | |||||||||||||||||||||||
61 | Phu Quoc | FALSE | #N/A | |||||||||||||||||||||||
62 | Port-au-Prince | FALSE | Moderate | |||||||||||||||||||||||
63 | Quito | FALSE | Good | |||||||||||||||||||||||
64 | Rio de janeiro | FALSE | Strong | |||||||||||||||||||||||
65 | Riyadh | FALSE | #N/A | |||||||||||||||||||||||
66 | Santiago | FALSE | Strong | |||||||||||||||||||||||
67 | São Paulo Metropolitan Region | FALSE | Strong | |||||||||||||||||||||||
68 | Surabaya | FALSE | #N/A | |||||||||||||||||||||||
69 | Suva | FALSE | Good | |||||||||||||||||||||||
70 | Tangier | FALSE | #N/A | |||||||||||||||||||||||
71 | Tirana | FALSE | Good | |||||||||||||||||||||||
72 | Izmir | FALSE | #N/A | |||||||||||||||||||||||
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93 | Abidjan | |||||||||||||||||||||||||
94 | Abu Dhabi | |||||||||||||||||||||||||
95 | Abuja | |||||||||||||||||||||||||
96 | Addis Ababa | |||||||||||||||||||||||||
97 | Almaty | |||||||||||||||||||||||||
98 | Amman | |||||||||||||||||||||||||
99 | Ankara | |||||||||||||||||||||||||
100 | Apia |