AI-generated summary
Cities will house 70% of the world’s population within 25 years, making sustainable urban planning and climate resilience essential. Flood risk is rising: a NASA study found the share of people living in flood-prone areas rose from 20% to 24% since 2000, largely due to extreme weather and glacier melt, with nearly 90% of the 1.8 billion vulnerable people in low- and middle-income countries. Rising seas, heat waves, heavy rainfall, and growing water scarcity threaten coastal and dense metropolises such as New York, Miami, Mumbai, Shanghai, Barcelona, and Tokyo. Poor land management and deforestation further increase flood risk, as seen in West African cities.
Technology—especially AI—is becoming central to disaster prevention and smart city management. Early warning systems can cut fatalities and economic losses substantially; integrating diverse data sources improves emergency response, while machine learning analyzes satellite imagery and social media to prioritize relief. Cities are deploying a range of adaptive solutions: retractable flood walls in New York, floating offices in Rotterdam, green roofs, CO2-absorbing pavements in Barcelona, and sensor-based traffic and air-quality controls. Examples like Copenhagen’s carbon-neutral plan and Cape Town’s resilience-focused planning show the value of proactive policy. Adapting cities requires coordinated planning, sustainable infrastructure, data-driven technologies, and citizen engagement to build resilient urban futures.
Finding solutions to cope with the changing climate is imperative and urban environments use technology to adapt.
It is estimated that, in less than 25 years, 70% of the world’s population will reside in cities. Commit to sustainable urban planning and resilience of these densely inhabited spaces in the face of the impact of Climate change is a necessity where technological innovation and strategic planning can make a difference.
A NASA study It has revealed that the proportion of people living in flood-risk areas has increased from 20 to 24 percent since 2000, ten times more than previously estimated. This increase is directly related to extreme weather events, such as torrential rains, hurricanes and melting glaciers. In addition, populations in low- and middle-income countries They make up almost 90% of the 1.8 billion people vulnerableto flood risks.
Rising sea levels, heat waves, and heavy rainfall pose significant threats to many metropolises. Coastal cities such as New York, Miami, Mumbai, Shanghai, Barcelona, and Tokyo face increasing risks due to their geographic location and high population density. On the other hand, the Water scarcity is emerging as a crucial challenge that requires efficient infrastructures to manage water resources, something that David Sedlak, author of the concept of the ‘fourth water revolution’, addresses in his webinar for the Bankinter Innovation Foundation.
AI in the face of natural disasters
The Early warning systems have proven to be effective tools for mitigating flood risks, with WHO studies indicate that they can reduce fatalities by 43%. Reports of the UN and the The World Bank estimates that implementing these systems can reduce the economic impact of disasters by 35 to 50 percent. Rio de Janeiro has integrated data from early warning systems, traffic cameras, and weather reports into an emergency operations center, reducing the impact of extreme weather events and improving disaster response.
In fact, the use of artificial intelligence in these systems makes it possible to anticipate extreme events more accurately and facilitate the communication of alerts in real time. In addition, machine learning models analyze satellite imagery to assess post-disaster damage and prioritize assistance. An example is the DAHiTrA model, which classifies damage to buildings after natural disasters, providing critical information for decision-making in emergency situations.
Poor land management exacerbates the risks of natural disasters: uncontrolled urbanization and deforestation reduce the soil’s capacity to absorb water, increasing the risk of flooding. A study entitled Late-stage deforestation enhances storm trends in coastal West Africa showed how deforestation in West Africa has increased the frequency of storms in urban areas such as Freetown and Monrovia, where the risk of flooding has increased significantly.
Artificial intelligence can be key in mitigating these effects, providing tools to identify high-risk areas, develop reforestation strategies, and improve urban planning. The combination of different AI techniques, such as machine learning, makes it possible to analyze social media posts to detect disruptions in basic services and optimize emergency response.
Smart City Planning
Technology can also be an ally in the ordinary management and planning of cities, something that characterises smart cities. In particular, sensorization has become a key trend, since the Real-time data analytics makes it easier to implement measures such as intelligent traffic control and air quality monitoring.
Copenhagen, for example, has developed a plan to reach carbon neutrality this year. With nearly half of its population commuting daily, the city has demonstrated how urban planning and innovative use of technology can improve the quality of life for its citizens.
In South Africa, Cape Town has incorporated resilience as a compass for urban planning, prioritising infrastructure projects based on their ability to respond to climate needs. Similarly, Norfolk in the UK has invested in coastal flood protection, demonstrating that a Proactive planning can prevent disasters and reduce costs in the long run.
Many cities are adopting technological solutions to meet climate challenges. In New York, after Hurricane Sandy, retractable flood walls were installed under the FDR Highway to protect urban infrastructure. Rotterdam has developed floating offices designed to adapt to rising sea levels. Other solutions include green roofs and vertical gardens to reduce the urban heat island effect, carbon capture systems integrated into buildings, and pavements that absorbCO2, such as those implemented in Barcelona.
The Catalan city is also hosting the Smart City Expo World Congress, the leading global event in urban innovation, which in its latest edition has highlightedprecisely the importance of data integration and generative AI to optimise urban services, improve decision-making and manage resources efficiently.
Adapting cities to climate change requires a comprehensive approach that combines urban planning, technology and citizen participation. The cities of the future will have to invest in sustainable infrastructure, promote sustainable infrastructure, and promote sustainable development. efficient use of resources and adopt advanced technologies to anticipate and mitigate the effects of climate change. Collaboration between governments, businesses, researchers, and citizens will be essential to build urban environments prepared for the challenges ahead.
