Africa’s urban future will be shaped not only by how quickly its cities grow, but by how effectively they protect the people who live in them. From flooding and extreme heat to traffic accidents, urban insecurity, pollution and overstretched emergency services, African cities face interconnected challenges that demand more than conventional infrastructure. They require a new approach to urban development, one that integrates environmental sustainability, public safety, reliable information and technology with inclusive planning and accountable governance.
For Nigeria, this challenge is particularly urgent. Rapid urbanisation is creating opportunities for trade, innovation, employment and investment, but growth is frequently outpacing the infrastructure and public services needed to sustain liveable communities. Housing, transport, drainage, waste management, public health and emergency response are critical areas requiring urgent attention. These are not isolated concerns; together, they determine whether residents can live safely, move efficiently and recover when disasters occur.
The question, therefore, is not simply whether Africa can build smart cities. It is whether the continent can build cities that are safer, more inclusive and better prepared for an increasingly uncertain future.
Beyond technology: What makes a city smart?
The expression “smart city” often evokes digital screens, surveillance cameras, automated traffic lights, connected devices and artificial intelligence. These technologies can be valuable, but they do not, by themselves, make a city smart.
A city is smart when it uses knowledge, effective institutions and appropriate technology to improve everyday life. Residents should be able to access essential services, receive timely warnings about hazards, report incidents, move safely and obtain emergency assistance without unnecessary delays.
A city with sophisticated sensors but blocked drainage channels is not resilient. A city with extensive surveillance infrastructure but poor emergency coordination is not necessarily safe. Likewise, a city that collects enormous quantities of personal data without protecting residents’ rights is not a model of responsible innovation.
The measure of urban intelligence should be the quality of outcomes: fewer preventable deaths, reduced exposure to environmental hazards, better emergency response, cleaner surroundings, more reliable public services and greater confidence in public institutions.
This perspective matters because Africa has an opportunity to avoid treating technology as a substitute for sound urban planning. Digital innovation must complement functioning drainage systems, accessible roads, reliable electricity, safe housing, effective waste management, public health services and competent emergency responders.
Climate change is a public-safety challenge
Climate resilience must be central to the development of African cities. Flooding, extreme heat, intense rainfall, coastal hazards and water scarcity threaten lives and livelihoods while placing additional pressure on infrastructure and public services.
In Lagos, flooding illustrates how environmental degradation, development patterns, inadequate drainage and climate-related pressures can combine to create serious urban risks. When natural drainage channels are obstructed, wetlands are degraded, waste blocks waterways and buildings occupy flood-prone areas, the consequences extend beyond damaged property. Roads become impassable, businesses close, electricity infrastructure is threatened, sanitation deteriorates and emergency responders struggle to reach affected communities.
The consequences are often most severe for residents with the fewest resources to prepare or recover. People living in poorly serviced settlements may face greater exposure to flooding and heat while having limited access to insurance, healthcare, safe housing or alternative transport.
The United Nations Human Settlements Programme, in its *World Cities Report 2024*, emphasises that climate risks intersect with social and economic inequalities, leaving marginalised communities particularly vulnerable. <https://unhabitat.org/world-cities-report-2024-cities-and-climate-action>
This means climate adaptation cannot be separated from public safety. A flood-resilient city must do more than construct flood barriers. It must preserve wetlands and other natural buffers, maintain drainage infrastructure, improve land-use planning, enforce appropriate building standards and ensure that communities understand the risks they face.
Urban trees, parks, permeable surfaces and green corridors can help manage stormwater and reduce heat, while well-planned transport networks and resilient electricity and communications systems help maintain essential services during emergencies. Nature-based solutions should therefore be treated as part of critical urban infrastructure, not merely as beautification projects.
Technology can strengthen these interventions. Geographic information systems, satellite imagery, weather forecasts, rainfall sensors and responsibly designed predictive models can help authorities identify flood-prone locations, monitor environmental changes and prioritise maintenance. When reliable data indicate that a neighbourhood faces rising flood risk, local authorities can take preventive action before the next heavy rainfall rather than waiting until residents are stranded.
However, technology cannot compensate for the refusal to enforce environmental regulations or maintain basic infrastructure. The strongest resilience strategy combines scientific evidence, ecological protection, sound planning and accountable implementation.
From reacting to emergencies to anticipating risks
Many urban emergencies become more damaging when warnings arrive too late, information is fragmented or responders cannot coordinate effectively. A road crash, building collapse, fire, medical emergency or flood may require several agencies to act together, yet unclear responsibilities and incomplete information can delay assistance.
A smarter city should connect the stages of emergency management: risk identification, prevention, preparedness, response and recovery.
Artificial intelligence and data analytics can contribute by identifying patterns in incident reports, highlighting areas with recurring accidents, supporting traffic management and helping emergency planners assess where resources may be needed. When combined with reliable weather and environmental information, these tools can also support early warning and anticipatory action.
For example, if reports and rainfall forecasts indicate that a particular road corridor regularly becomes impassable during intense rainfall, authorities could alert residents, redirect traffic, position response teams and inspect drainage before conditions deteriorate. If incident records repeatedly identify dangerous road junctions, transport planners could investigate the causes and prioritise corrective measures.
The objective is not to allow algorithms to make every decision. It is to give trained professionals better information, earlier warnings and a clearer picture of what is happening.
Africa already has an important foundation on which to build. The African Union Commission and the United Nations Office for Disaster Risk Reduction are supporting the Africa Multi-Hazard Early Warning System and Early Action Programme. The programme recognises that warnings must be connected to preparedness and action if they are to reduce disaster impacts. <https://www.undrr.org/about-undrr/where-we-work/regional-office-africa/amhewas>
For Nigeria, the next step should include stronger links between meteorological services, environmental agencies, traffic authorities, health facilities, fire services, police, ambulance providers and state emergency management agencies. Clear protocols should specify who receives an alert, who verifies it, who mobilises resources and how the public receives updates.
A warning that does not reach vulnerable residents, or that reaches them without practical instructions, is an incomplete warning system.
Reliable incident intelligence can save lives
One of the most important foundations of an effective smart city is reliable, timely and actionable incident information.
When an emergency occurs, responders need to know what happened, where it happened, how serious it is, who may be at risk and what assistance is required. Inaccurate locations, duplicated reports, rumours and outdated information can waste valuable time and divert resources from people who urgently need help.
A coordinated urban incident-intelligence system could receive information through multiple channels, including emergency telephone lines, verified community reports, public agency systems, sensor networks and digital platforms. Reports would need appropriate verification, prioritisation and secure sharing with authorised responders.
Such a system could help reveal patterns that individual reports may not show. Repeated fire incidents in a particular commercial district might indicate unsafe electrical installations or inadequate enforcement. Recurring road crashes could point to poor junction design, insufficient lighting or dangerous driving conditions. Repeated flooding complaints could help identify drainage infrastructure requiring urgent attention.
However, incident intelligence is only as useful as the quality of the information behind it. Authorities and technology providers must distinguish verified facts from unconfirmed reports, communicate uncertainty and ensure that data are updated. Human review remains essential, particularly when a decision could affect someone’s safety, freedom or access to emergency assistance.
Building trust through responsible artificial intelligence
The growing use of artificial intelligence in urban management creates opportunities, but it also introduces risks. Systems can make mistakes, reproduce biases in their training data or produce misleading conclusions when information is incomplete. Facial recognition and other surveillance technologies may also raise serious concerns about privacy, discrimination and inappropriate monitoring.
The United Nations Human Settlements Programme’s work on responsible AI in cities highlights both the potential benefits of AI and challenges involving privacy, costs, skills and regulatory gaps. It stresses the importance of responsible governance and inclusive participation.
For African cities, responsible deployment must begin before a system is purchased or introduced. Authorities should identify the problem they intend to solve, assess the necessity and proportionality of the technology, establish clear accountability and define how success will be measured.
Personal information should be collected only when necessary, retained only for appropriate periods and protected against unauthorised access. Access controls, security testing, audit trails and clear procedures for investigating errors should be standard practice. Residents should understand, in accessible language, what information is collected, why it is used and how complaints can be made.
AI should support professional judgement, not remove human accountability. An automated system should not be treated as infallible simply because its output appears scientific. Where a model recommends an emergency response or flags a person or location as a risk, there must be a way to review the decision, correct inaccurate information and challenge misuse.
Trust is not an optional feature of smart-city development. Without it, residents may be reluctant to report incidents, share information or cooperate with public authorities.
No resident should be left behind
A city cannot be considered smart if its benefits are available only to people with smartphones, reliable internet access, digital literacy or the money to purchase connected devices.
Older people, persons with disabilities, low-income households, informal workers and residents of underserved communities must be included in urban safety planning. A flood warning delivered exclusively through an application may fail to reach a household without internet access. A digital emergency-reporting platform may be inaccessible to a person who cannot use its interface or communicate in the language it supports.
Cities should therefore adopt a multi-channel approach. Mobile applications and online platforms can operate alongside SMS alerts, radio announcements, accessible public signage, community volunteers, telephone hotlines and trusted local organisations. Emergency messages should use clear language, appropriate local languages and formats that people with disabilities can access.
Communities must also be involved in identifying hazards and designing solutions. Residents often know which streets flood first, which routes become unsafe after dark, where fires repeatedly occur and which groups are likely to be overlooked during an evacuation. Their knowledge can strengthen formal data and expose risks that official records fail to capture.
Community participation is not a substitute for government responsibility. It is a way to improve the quality, legitimacy and effectiveness of public action.
Governance must come before gadgets
One of the greatest obstacles to resilient cities is not necessarily a shortage of technology. It is fragmented governance, inadequate maintenance, weak coordination and insufficient investment in essential services.
A sensor cannot clear a blocked drainage channel. An AI model cannot enforce building regulations by itself. A digital dashboard cannot replace trained ambulance personnel, functioning hospitals or an adequately equipped fire service.
Governments must therefore establish clear priorities before investing in expensive systems. This begins with a city-level assessment of environmental hazards, infrastructure weaknesses, public-safety incidents and gaps in emergency response. The findings should guide investment towards interventions that address the most urgent and preventable risks.
Rather than launching numerous disconnected technology projects, authorities could begin with a defined pilot in a flood-prone district, a high-risk traffic corridor or an area with recurring fire incidents. They should establish baseline data, agree on responsibilities across agencies and measure outcomes such as warning reach, incident verification time, emergency mobilisation time and the reduction of repeat hazards.
Successful interventions can then be expanded, while ineffective ones should be revised or discontinued. Procurement should consider not only the initial cost of technology but also maintenance, training, cybersecurity, long-term funding and the ability to integrate with existing systems.
Public-private partnerships can bring technical expertise and investment, but contracts must protect public interests. Data ownership, access rights, accountability, service standards and continuity arrangements should be clearly defined. Independent evaluation and transparent reporting can help residents determine whether promised benefits are being delivered.
Africa’s opportunity to lead
Africa does not need to reproduce every urban development model adopted elsewhere. Its cities can draw on international evidence while developing approaches suited to local environmental conditions, social realities and economic constraints.
This requires investment in African research, engineering, urban planning, emergency management and technology development. Universities, start-ups, civil society organisations, professional bodies and government agencies should work together to test practical solutions and build local capacity. Regional collaboration can also help cities share lessons about flooding, heat, transport safety, disaster preparedness and responsible AI.
The opportunity is to build resilience into urban development from the outset rather than paying repeatedly for preventable failures. It is to treat environmental protection as essential infrastructure, emergency preparedness as a public service and reliable data as a foundation for sound decisions.
By 2035, progress should be visible in measurable improvements: fewer preventable deaths, faster and more coordinated emergency responses, better protection against flooding and extreme heat, cleaner public spaces, safer mobility and more equitable access to essential services. Residents should be able to see that lessons from incidents lead to corrective action and that public institutions respond transparently when systems fail.
Africa’s urban future will not be secured by technology alone. It will depend on whether governments make informed decisions, protect natural systems, invest in people, coordinate institutions and ensure that innovation serves the public good.
The ultimate ambition should be larger than building smart cities. It should be building cities where people can live, work, travel and raise their families with greater safety, dignity and confidence, and where resilience is measured not by the sophistication of the technology installed, but by how well communities are protected when it matters most.
