Imagine a city where the city does our thinking for us. Networks of sensors, artificial intelligence and the ‘internet of things’ manage energy, water and waste. Roads hum with self-driving vehicles. Smart traffic systems with AI-based adaptive traffic lights, predictive algorithms, smart intersections, cameras and sensors optimize traffic flow. Congestion and crashes are distant memories. Buildings, streetlights and other infrastructure adapt dynamically to our needs. Networks of cameras, sensors, and facial recognition technologies surveil and monitor public spaces, providing real-time data for security and policing….
In the rush to make our cities “smart”, certain very obvious questions too often seem to get glossed over, or at the very least not answered in any satisfactory way - including the fundamental question of whether these visions will ever be able to deliver on their grand promises of sustainability.
It is difficult, for example, to see how a city reliant on AI and the ‘internet of things’ could ever be an energy-efficient or climate-friendly one. According to the Global Carbon Project, the internet itself, if it were a country, would be the third largest consumer of electricity and the fourth largest emitter of CO2 in the world. Data centers alone already consume around 2% of electricity produced worldwide and emit roughly the same amount of CO2 as the airline industry. The PJM electric grid is projecting a 40% increase in annual electricity use across its coverage area by 2039, and the expansion of the data center industry is a key driver of this increase.
Even if the massive amounts of energy required to power the smart city of the future could come from renewable sources, the correspondingly massive growth in energy demand from the ubiquity of advanced computing will drastically slow our progress toward this renewable energy system and almost certainly require an increase in fossil fuel use to make up the shortfall in the meantime – and again, this is already happening. Duke Energy, for example, points to data centers as a key reason to add 8.9 GW of new gas-fired power plant capacity — more than the entire U.S. added in 2023.
These kinds of considerations should give us pause. And they should also perhaps encourage us to take a look at an alternative school of thought that is emerging in counterpoint to the movement toward high tech urbanism. The “low-tech city” is not so much a single, unified manifesto for the city of the future as a general way of thinking that brings together a range of concepts, some of which have been around for years, that prioritize decentralized, non-complex systems over high-tech, resource-intensive ones. Broadly speaking, it can be boiled down to a number of key, interlinked principles:
Decentralization: Moving away from large-scale, centralized systems to smaller, decentralized, local solutions, such as local-level renewable energy generation (rooftop solar, community-based microgrids etc.) and water management systems. These solutions tend to be relatively easy and cheap to maintain and are adaptable to local conditions, in the case of energy generation increasing resilience to power disruptions and decreasing reliance on fossil fuels.
Resource efficiency: Low-tech cities focus on reducing resource consumption through conservation, recycling and reuse, as well as building designs that minimize energy use through natural ventilation, insulation and locally sourced, sustainable building materials. Decentralized water management systems, similarly, such as rainwater harvesting, enable water to be used more efficiently and can improve water security.
Human-centered design: Urban infrastructure should be designed at a human scale, for example to promote non-motorized modes of transportation (walking and biking infrastructure etc.) and public spaces that encourage social interaction and reduce dependency on cars. Expanding bike-sharing programs, pedestrianizing streets and creating green corridors are all cost-effective, low-tech solutions that can reduce reliance on private vehicles and reduce the environmental and public health impacts of a car-based transportation system.
Local innovation and materials: Materials, knowledge and labor that go into constructing and maintaining the buildings and infrastructure of a given area should, to the greatest extent possible, come from that area – a way of supporting local economies and reducing transportation emissions.
Urban agriculture: Similarly, low-tech advocates place a big emphasis on the idea that as much of our food as possible should be grown locally, for example by integrating urban farms, community gardens and green roofs into city planning. This reduces the environmental impact of transporting food the kinds of distances entailed in our current food systems, as well as fostering community engagement in sustainable practices.
No-/low waste circular economies: Policies regarding waste management, low-tech advocates argue, should be rooted in the idea of a circular economy, supporting waste reduction, recycling programs and composting initiatives.
Part of the problem with many visions of the smart city of the future is that they often tend to accept the logic of the systems of the past. For instance, there seems to be a general assumption that cars (self-driving, flying or otherwise) will remain a dominant mode of transport, and that the problems of current transport systems can be solved by maintaining existing auto-centric infrastructure but simply making it “smarter”: smart traffic systems, with AI-based traffic lights, smart intersections, cameras, sensors and so on to optimize traffic flow (not to mention the bizarre insistence that self-driving cars will make the roads safer).
The low-tech alternative to this expensive and otherwise highly questionable vision of transportation rejects the notion that we should remain stuck in the autocentric mindset of the mid-20th century, and instead promotes public transport, cycling, walking and other active modes of transport and argues that transportation policy and urban planning should be directed toward these commonsense, cost-effective and actually sustainable solutions.
Another example: instead of pouring billions of dollars into development of expensive carbon capture technologies, why not start making proper use of the carbon capture technologies we already have? They’re called “trees”, and integrating them into our cities can absorb huge amounts of carbon and bring numerous other benefits, including cleaner air, flood mitigation and wildlife habitat. Nature-based systems employed for dealing with stormwater runoff, similarly, have proven that they can do the job just as well as, and often better than, artificial infrastructure, and in much more cost-effective ways.
These types of solutions typically require much less energy and fewer resources and create fewer emissions than their high-tech counterparts. Their simplicity and local adaptability make them more resilient to external shocks than high-tech systems, which are vulnerable to cyberattacks, supply chain disruptions, energy shortages and so on. And by prioritizing human-scale infrastructure they create healthier, more livable environments.
Thus, the low-tech paradigm offers an outline of a more sustainable, more cost effective, and arguably simply more desirable alternative to many so-called thought leaders’ knee-jerk deification of technological novelty. It’s not about rejecting technology, but rather about finding the right balance in its use and using it only to the extent that it is the best possible solution to a given problem. Often, it isn’t – and recognizing that fact is vital if we are to create resilient, sustainable and livable cities.