The traditional role of buildings as energy consumers is changing amid rising supply disruptions, surging demand, and more volatile pricing.
Retrofitting measures and artificial intelligence-driven building management systems can improve energy efficiency and lead to significant cost savings while supporting longer-term resilience.
Distributed energy technologies, such as on-site solar, battery storage and microgrids, enable buildings to improve resilience, reduce costs and even supply power back to the grid.
Energy security and its implications for business as usual have landed at the feet of executives. The energy distribution model spanning the built environment for more than a century is breaking down.
Traditionally, energy has flowed in one set direction – from power plants through transmission lines to the buildings where we work and live. Within this linear model, commercial and residential buildings are largely passive energy consumers, quietly drawing power and paying bills to keep the lights on.
That era is ending. Cracks are appearing in energy systems worldwide and in some places, the lights are literally starting to flicker. After decades of relative stability, energy demand is now soaring at an unprecedented pace as more power-hungry data centres come online and manufacturing becomes increasingly automated and electricity-intensive.
Energy upheaval is a growing business challenge, as power volatility introduces new risks to operations and budgets.
Growing energy appetite
Electrification is transforming everything from delivery trucks to building operations. Take electric vehicle (EV) charging: as logistics fleets go electric and more EVs charge out-of-home, unmanaged charging infrastructure can more than triple a site’s peak power demand.
Energy infrastructure built for yesterday’s lighter loads is buckling under this pressure. Upgrading transmission lines and expanding utility-scale grid capacity requires significant investment while facing multi-year equipment delays that have become the norm rather than the exception across major markets.
Meanwhile, clean energy is rolling out at a record pace, with lower costs and faster deployment times driving uptake even as political support wavers in some regions. However, this buildout varies geographically, creating fundamental mismatches between where new renewable power comes online and where electricity demand is highest.
The result: a more volatile and expensive energy landscape. Electricity prices across major economies have surged in recent years, ending a long period of relative predictability that many businesses had come to rely on.
JLL research highlights that across six major markets, industrial power prices rose by approximately 18% between 2019 and 2024, compared with just 4% growth in the preceding five-year period.
Real estate feels the strain
This energy upheaval is a growing business challenge, as power volatility introduces new risks to operations and budgets, especially for mission-critical facilities such as research laboratories, manufacturing plants and data centres. According to Prologis’ 2026 Supply Chain Outlook, nearly 90% of companies experienced some form of energy disruption in the past year.
Against this backdrop, many organizations are fundamentally rethinking their energy strategies across their real estate portfolios. As reliable, clean and affordable power becomes a business imperative, they’re asking how they can better manage volatile energy costs in the short-term and improve their energy security in the longer-term.
One key step in any plan is to reduce energy use through measures such as retrofitting. With energy accounting for roughly one-third of operating costs, JLL research estimates that light-to-medium retrofits can achieve 10-40% energy savings, with artificial intelligence solutions offering even greater savings.In a world where energy security can no longer be taken for granted, the coming years will see the emergence of a fundamentally different relationship between real estate and energy
Restoring energy back
However, true energy resilience requires a more fundamental rethinking of how buildings relate to power systems.
The solution involves flipping the traditional energy model on its head. Instead of buildings passively consuming energy from distant sources, they’re actively participating in generating, storing and managing power much closer to where it’s used.
Distributed energy technologies are making this transformation possible. On-site solar panels, sophisticated battery storage systems and building-scale microgrids are addressing reliability and cost volatility at the point of greatest stress.
As technology advances rapidly and costs continue to fall, these decentralized resources can maintain critical operations during grid outages, smooth the intermittency of renewable power and even provide energy back to the broader grid when needed.
The shift is already happening
Recent projects are already demonstrating this shift. The new Terminal One at New York’s John F. Kennedy International Airport is implementing one of the largest airport microgrids in the country, combining solar generation with advanced storage systems.
In California, Valley Children’s Healthcare is deploying one of the most sophisticated hospital microgrids to ensure clean, resilient power for life-critical medical operations.
Furthermore, as buildings get smarter, modern energy management platforms now integrate on-site generation, battery storage, building systems and EV charging infrastructure into a single intelligent control layer.
This allows facility operators to manage peak demand, shift loads to off-peak hours and prioritize lower-cost or lower-carbon power sources by the hour and by location, optimizing the entire energy system rather than managing components in isolation.
Addressing energy anxiety
In a world where energy security can no longer be taken for granted, the coming years will see the emergence of a fundamentally different relationship between real estate and energy.
According to Prologis, nine in 10 of survey respondents indicate they would pay a premium for sites with reliable energy infrastructure. Energy-efficient, electrified buildings powered by clean and reliable energy that offer improved operating performance are increasingly viewed as sources of competitive advantage.
It’s already a reality for the advanced manufacturing industry. In the key Silicon Valley market, our research reveals that buildings with high-power capabilities are commanding 49% higher rents on average compared to other leases signed in the past three years. Even against brand-new buildings i.e. those delivered within the last three years, high-power spaces still pull in 33% more rent.
In comparison, new construction alone has delivered an average rent premium of just 11% over the rest of the market.
The built environment is no longer at the edge of the energy transition but at the very centre. Buildings are one of the most flexible and underused tools we have for fixing energy challenges. Through retrofitting and resilience measures that are implementable today, we can create the energy security that modern businesses need.
The lack of basic tools to track and understand housing has resulted in a patchwork of individual programs and little clarity on whether any of them meet basic access and affordability needs. The promise of AI, which requires structured, standardized inputs, makes addressing this data-infrastructure gap more urgent.
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According to the latest United Nations estimates, 2.8 billion people worldwide lack access to adequate housing, while 318 million are homeless. Despite investing billions of dollars in solutions, governments and philanthropies have been unable to make a dent in the crisis.
An underappreciated reason for this is the lack of basic infrastructure to track and understand baseline questions concerning housing. Major data gaps mean we often don’t know which parcels of public land sit idle, how many units are vacant, and where development proposals stall. And without common definitions for fundamental terms, it becomes difficult to make comparisons across contexts – “affordable housing” means one thing in London, another in Lagos, and something else entirely in Los Angeles. Worse, the data that do exist are rarely accessible to policymakers and researchers.
In most cities, no single authority is responsible for tracking which public entity owns which parcel of land. Transit agencies, school districts, and planning departments each hold fragments of information that never connect. Zoning codes vary widely, not just between countries but also between neighboring municipalities.
This fragmentation produces bad policy. Without a full picture of the available resources and the factors that affect housing supply, policymakers cannot reliably identify effective interventions. As a result, a city might invest heavily in subsidized construction while sitting on publicly owned land that could be developed more cheaply. Governments set ambitious housing targets but are unable to track progress or remove bottlenecks, which effectively shields them from any real accountability. The result is a patchwork of individual programs and little clarity on whether any of them meet basic access and affordability needs.
Many hope that AI will finally crack the housing challenge. Machine-learning models can now reconcile disparate databases, detect underutilized land through satellite imagery, and simulate how policy changes might affect housing supply. But these tools require structured, standardized inputs. Realizing the technology’s potential therefore depends on the unglamorous work of data engineering. That makes building this infrastructure even more urgent.
For example, a pilot by the Urban Institute and the Legal Constructs Lab at Cornell University to automate National Zoning Atlas methodologies found that machine-learning models could not reliably interpret zoning documents, owing to inconsistent formatting, legal nuance, and local exceptions. Cities worldwide have experienced what practitioners call the “dashboard valley of death”: expensive visualization tools that fail because the underlying data infrastructure cannot sustain them.
The contrast with successful scientific infrastructure is instructive. The Human Genome Project helped transform the way scientists diagnose and treat disease in part by establishing the Bermuda Principles, which require participating laboratories to release DNA sequences within 24 hours. This ignited a wave of collaboration that later enabled breakthroughs like CRISPR and AlphaFold. After researchers shared SARS-CoV-2 genomes in early 2020, vaccines were developed at unprecedented speed.
A group of experts across housing policy, data infrastructure, and governance recently gathered as part of the 17 Rooms Initiative to discuss this problem. It was agreed that housing needs a similar mechanism: a “Home Genome Project” for standardizing and sharing housing data and AI models globally.
Such a mechanism will require, first, common taxonomies for parcels, zoning types, vacancy definitions, and development stages, designed for interoperability rather than vendor lock-in. Second, cities should share their models and datasets far and wide, enabling genuine comparison of what works across contexts. Third, standards and tools must be accompanied by a playbook for institutional capacity building, including data governance, cross-agency coordination, and the analytical capabilities needed to translate data into decisions.
To be sure, housing data presents challenges that genomics did not. DNA follows universal biological rules; by contrast, housing varies according to regulatory and political environments. While some variability is necessary to reflect local conditions, much more data can and should be standardized, which will require collaboration, not top-down mandates. Built for Zero has helped more than 150 communities make measurable progress on homelessness through shared data protocols and coordinated action, demonstrating that collective infrastructure can be built to address complex problems.
Philanthropists seeking to strengthen communities, policymakers pursuing housing targets, and technologists developing sector-specific AI models all face the same bottleneck: the data foundation does not exist. Building this infrastructure is not as exciting as funding an app or announcing a new initiative. But without it, allocating resources effectively and learning from experience is impossible. It is as though we were attempting precision medicine with medieval anatomy charts.
The Human Genome Project was a 13-year global undertaking that created an industry worth trillions of dollars. A comparable investment in housing data infrastructure could finally let us see what works, fund what scales, and unlock solutions we cannot yet imagine.
Historians often reinforce evolutionist narratives that rank civilizations and nationalize invention.
US military railroad bridge (Herman Haupt), Bull Run, Virginia, Orange and Alexandria Railroad, ca. 1863. The army rebuilt this tied arch bridge more than seven times during the Civil War. Source: Library of Congress.
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Evolutionist storytellers have for centuries reinforced iron as a gauge of progress. They employed technology as “the measure of men” and portrayed iron as the quintessential material of the Industrial Revolution. Their calculation was rooted in the late 18th-century transition in the British economy’s basis from wood and water to iron and coal. Within this ferric landscape, wood was deemed appropriate for less complex, less civilized societies.
This article is adapted from Gregory Dreicer’s book “American Bridge.”
The words of historian Carl Condit, whose publications on building technology were widely read, ring through the decades: “Wherever wood was plentiful and industrial techniques less advanced than in Western Europe, timber construction was bound to be the natural choice.” He believed that wood framing belonged to a “vernacular tradition,” that is, unscientific, less advanced. Wood’s mythic nature — unlearned, craft-based, inflammable — helps explain why in the early 21st century the use of wooden members, such as beams or columns, in high-rise buildings can still evoke surprise.
Our understanding of materials reflects engineering, evolutionary, economic, and nationalist perspectives. It shapes how we see materials and how designers use them. Consider engineer John Roebling, who in 1860 proclaimed, “Iron has emphatically become the material of the age. Upon its proper use, the future comfort and physical advancement of the human race will principally depend. It will yet be the harbinger of peace, as already it has given us the means of locomotion and of intelligent intercourse.”
His rhetorical fervor aligned with the industrial-evolutionist reasoning of his time and is comparable to the language of today’s promoters of digital technologies. Roebling believed that technology provided evidence of a superior civilization and that technological progress would benefit the world; his metal cable manufacturing company was helping make it happen (“intelligent intercourse” probably refers to the far-reaching impact of telegraph wires, which Roebling’s company manufactured).
Roebling, like Abraham Darby, William Fairbairn, and Robert Stephenson, had a financial stake in iron. (This is not to say they were venal; a belief in a future they would profit from was integral to their entrepreneurial mindset.) Roebling’s design for the Niagara railroad suspension bridge — an American symbol whose image traveled around the world — depended on cables, though its deck initially made substantial use of wood and iron. When the bridge opened in 1855, the “American Railroad Journal” proclaimed: “It must place the name of Roebling high among the greatest and best of those who have accomplished most for the advancement of their species.”
Ernst Haeckel, “Family Tree of Man.” Tree pictograms laid out and justified evolutionary, human-centered hierarchies based on race and nationality. In the English edition, this image was titled “Pedigree of Man.” Source: Ernst Haeckel, “Anthropogenie oder Entwickelungsgeschichte des Menschen” (Engelmann, 1874), Table 12. Deutsches Museum Library.
This Prussian-born technologist remains an American hero to this day, thanks to his Brooklyn Bridge. But historians who adopt material ideologies and biases from innovator-entrepreneurs such as Roebling and integrate them uncritically into storymaking create puzzling scenarios. They write things like “the iron truss came soon after the iron arch.” This affirmation, which links disparate structures and seems to exclude wood, is a celebration of progress rather than an insight into the history of innovation.
Wood and metal structures each required their own design method. With wood, the connection type determined the size of the entire member; with iron and steel, designers established the size of the members first. As an engineer explained in 1933, “If he designs a steel bridge while standing on his feet, he should stand on his head while designing a timber structure. In other words, the processes are reversed.”
In metal structures, a much smaller material area was required for the connections, which were simpler, could withstand a variety of forces from different directions, and could be designed as an independent feature of the structure; in addition, the shape of the member could be more precisely specified and manufactured. Metal enabled designers to create structures that were physically closer to one-dimensional depictions — that is, closer to the diagrams used in structural analysis. Lumber was superimposed and connected at the overlaps, while metal construction approached a single plane, with connection points where members met, usually at their ends.
Designers had to think about wood and metal in different ways. Essential to successful wood design was knowledge of wood types, shared by manufacturer and builder. Because wood fails with forewarning, builders could learn through observation and repair. (A recent study reports that 19th-century wooden railway bridges had a safety advantage; they were not known to collapse while trains crossed them.) As railways rejected wooden bridges, the importance of the type of knowledge and experience required to build with wood diminished.
The evolutionist ascent-of-iron narrative lowered the status of the carpenter while elevating that of the engineer.
Iron, by contrast, could break with little or no warning; this may be due to the type of metal, how it is used, or the quality of manufacture. Metal members were more of a black box, not knowable in the ways that wood was. Bridge designers and builders trusted the metal maker to produce a material that met a testing standard, which in most cases was independent of the designer. The alienation from firsthand knowledge, along with the foregrounding of analytical tools for designing structures, became fundamental to the mass-construction of bridges. The designer could develop a structural idea in the abstract — and then seek materials that fit the design.
The evolutionist ascent-of-iron narrative lowered the status of the carpenter while elevating that of the engineer, who possessed a different kind of knowledge. No matter the material, however, intuition (that is, tacit knowledge and skill based on experience) remained basic to design. As historian Joachim Radkau explained, craftsmanship and a feeling for materials were still important, before iron and industrialized building and after, but “human skill was pushed to the edge of technologists’ consciousness.”
The professionalization of engineering occurred alongside the development of structural metals. Civil and mechanical engineers became closely identified with new types of structures that employed metal; this enabled them to distinguish themselves from contractors, whose participation in iron construction was also essential. Eminent structural engineer Corydon T. Purdy’s assertion in 1895 that “it is only with the advent of steel that the engineer has become a necessity” transmitted heavy metal reverberations about progress: New materials require new people with new knowledge to replace those who came before.
Kistna Viaduct, Great Indian Peninsula Railway (engineer George Berkley, 1870-71). Near Raichur, over the Kistna River. Source: William H. Maw and James Dredge, “Modern Examples of Road and Railway Bridges”; “Illustrating the Most Recent Practice of Leading Engineers in Europe and America” (London: Engineering, 1872), plate 87. University of Michigan.
That year, in the same journal, engineer J. Parker Snow, while describing wooden lattice railway bridges he was maintaining, shared an “impression” that wooden bridges had become “obsolete.” Already 30 years earlier, when an engineer mentioned “the lattice, long since abandoned as a wooden structure,” he seemed to confirm its extinction; yet wooden lattices continued to be built, though in smaller numbers. But metal was the material on which engineers, entrepreneurs, and historians were building professional status, careers, and wealth.
The idea that materials provide an evolutionary track for designers to follow, rather than commodities to be manipulated, is rooted in the belief that each material has a form through which it can best be expressed. This notion endures in the oft-quoted bromide attributed to the architect Louis Sullivan, “Form follows function,” which aligns with his convictions about nature and evolution. As if function dictated a unique form, or each form had only one function! Sullivan’s business partner, engineer Dankmar Adler, more astutely deciphered design: “Form follows historical precedent.” Or, as an engineer in 1844 remarked regarding the succession of bridge types, “There is a fashion which rages for a certain time.”
This is evident in the number of cable-stayed bridges built in recent years. While evolution clarifies the process of change in an animal species, biology cannot account for the myriad decisions that drive the design of individual objects or the development of innovation over time. There is always a menu of possibilities to choose from.
Metal embodied a majestic symbolic potency.
But evolutionism can circumscribe that choice. Anthropological experts traced cultural evolution through the West with the advent of iron as climax. In the late 19th century, John Wesley Powell, a founder of the field of anthropology, explained, “The age of savagery is the age of stone; the age of barbarism the age of clay; the age of civilization the age of iron.” Ethnologist Otis T. Mason confirmed that “the civilized man passes his whole life in the midst of wheels and cranks and engines of iron.”
Metal embodied a majestic symbolic potency: Its mythical strength and permanence provided proof of the durability and civilizational direction of nation and imperial empire. So cultural narrators ignored the role of wood at a pivotal inventive moment — the reinvention of building — and likely remained ignorant of the moment because of wood’s centrality. Lumber and enslaved people were considered primitive or pre-industrial, on the other side of the divide, even if they played a giant role in the making of industrial capitalism and management. Like the racial classifications often employed to define society, “iron bridge” and “wooden bridge” in historical accounts often are factitious labels that reveal evolutionary caste. They refer to imaginary homogeneous types rather than actual mixed heritage and composition.
The evolutionist-progressive narrative also functions as a political power tool. Entrepreneurs and engineers used it to rationalize intentions and minimize mistakes. It enabled industrialists John D. Rockefeller and Andrew Carnegie to justify aggressive corporate tactics and the mistreatment of individuals; Carnegie claimed that inequality and concentration of wealth were “essential to the future progress of the race.” Evolutionism supported the view that efforts to make society equitable were unnecessary and perhaps unnatural. In China, evolutionism would replace traditional values and serve as a tool for massive change.
The Boston and Maine bridge (J. Parker Snow, 1889) over the Contoocook River, Contoocook, New Hampshire. The oldest surviving covered railroad bridge in the United States was built the same year the Eiffel Tower opened. Source: Amy James, artist; Library of Congress, Prints & Photographs Division, HAER No. NH-38.
Just as biologists have applied evolution to all scales of life, from genes to species change over thousands of years, historian-evolutionists have turned their attention to all scales of invention and industry, ranging from “arrow into rocket” fantasias to seemingly small alterations. In defense against a lawsuit accusing them of theft, a group of dismayed engineers asked: “How can you patent something that is in the natural evolution of technology?” Indeed, if designers are evolution’s agents, they would not be responsible for illicit appropriation.
By the beginning of the 20th century, corporations in the United States were less likely to publicly espouse survival of the fittest. The idea went underground and fertilized the evolutionist-progress narrative of technology that nurtures today’s neoliberal thought. In the 21st century, evolutionist narratives can deflect attention from the inequity behind, for example, digital devices — gleaming avatars of progress made of metals whose manufacture and disposal depend on environmental harm and brutal working and living conditions in places Western consumers never see. This is the dark side of the evolution-of-materials tale. While evolutionism’s inextricable ties to the openly nationalist and racist currents of the 19th and 20th centuries are well known, less discussed are its support for contemporary corporate “innovation” and its impacts. The question is: Who is technological evolution and progress for?
“Arguably, no folk theory of human nature has done more harm — or is more mistaken — than the ‘survival of the fittest,’” asserts anthropologist Brian Hare and science writer Vanessa Woods. The catchphrase justified and perhaps inspired a couple of centuries of human and environmental destruction. It’s so deeply ingrained that it’s hard to extract from our understandings of history and society.
Struggle represents only one way of viewing the world, however. For humans and animals, cooperation may be the strongest outcome of evolution. The ever-changing relationships of interdependent individuals create stories, materials, and communities. Were 19th-century bridges known as “American” like processed American cheese, whose development runs through England and Switzerland? Were they like Gruyère, officially made only in Switzerland and France, though the United States, which imports more cheese by that name from the Netherlands and Germany, claims the name is “generic”? Were so-called American bridges like French dressing, whose origins do not lie in France and whose contents the US government controlled for 72 years, until 2022, 24 years after the Association for Dressings & Sauces asked that it cease doing so? Or did they have something in common with chocolate? Eighty percent of cocoa beans come from West Africa, although only 1 percent of chocolate is made there.
For humans and animals, cooperation may be the strongest outcome of evolution.
Exploring how social and political flows define and redefine manufacturing, innovation, and consumption can lead us to shift our understandings of national, local, and global. Today, Kinshasha and Paris have the same number of Francophones; 60 percent of French speakers live in Africa, where they are remaking the language.
Biologist and computer scientist David Krakauer wrote, “Genes, minds and societies are all involved in various forms of construction. A better understanding of life requires that we abandon the view that organisms are account books recording in their behaviour past ages of the Earth and see them rather as builders engaged actively in the planet’s construction.”
Instead of regarding technologists as enactors of biological tropes and national destinies, we might view them as creators working in a multiplicity of places through networks that range across construction sites, businesses, factories, universities, and nations, while building a diversity of futures.
Gregory Dreicer is a historian, curator, and experience designer whose transdisciplinary explorations and public engagement offerings include “Between Fences,” “Me, Myself and Infrastructure,” and “Unbelievable.” He has worked with the Museum of Vancouver, the Chicago Architecture Foundation, and the Museum of the City of New York. He is the author of “American Bridge,” from which this article is adapted.
FIFA and the Board of Peace signed a partnership agreement on Thursday to attract investment from global leaders and institutions for sustainable development in conflict-affected regions through football.
The Board of Peace, established under the U.S. President Donald Trump, held its first meeting focused on Gaza’s reconstruction fund, aimed at rebuilding the territory once Hamas disarms.
The disarmament of Hamas militants and accompanying withdrawal of Israeli troops, the size of the reconstruction fund and the flow of humanitarian aid to the war-torn population are expected to pose significant challenges to the board’s effectiveness in the coming months.
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A Palestinian family living at the Tel al-Hawa neighborhood breaks their first Ramadan fast near the rubble of their home destroyed after the Israeli attacks, on Wednesday, in Gaza City.Ali Jadallah / Anadolu via Getty Images
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The FIFA collaboration plan includes building 50 mini-pitches near schools and residential areas in Gaza, five full-size pitches across multiple districts, a state-of-the-art FIFA academy and a new 20,000-seat national stadium, FIFA said.
Trump said FIFA will raise $75 million for soccer-related projects in Gaza.
“Today, FIFA and the Board of Peace have signed a landmark partnership agreement that will foster investment into football for the purpose of helping the recovery process in post conflict areas,” FIFA President Gianni Infantino said in a statement.
“Together with the support of the Board of Peace, FIFA will drive this partnership which is built to deliver impact at every stage.”
The programme will also emphasize job creation, youth participation, organized leagues for boys and girls, community engagement and the stimulation of local commercial activities, FIFA said.
Urbanization in the Global South is accelerating amid a confluence of ecological, social, and developmental pressures that diverge considerably from those experienced in the Global North. Recent advances in spatial analysis, environmental modeling, and related fields are reshaping scholarly understandings of these multifaceted challenges and the targeted policy responses needed to address them. The Urban Sustainability in the Global South Collection, published in Scientific Reports, compiles interdisciplinary research contributions that elucidate ongoing urban transformations and provide evidence-based insights to inform pathways toward inclusive, safe, resilient, and sustainable urban futures, aligned with Sustainable Development Goal 11 (SDG 11).
The trajectory of global urbanization underscores the pressing need to address urban sustainability, particularly as a substantial proportion of current and future urban growth is predicted to occur in the Global South1. The discourse on urban sustainability has, however, long exhibited an implicit bias toward cities in the Global North, which have frequently been positioned as models for emulation2. This perspective insufficiently acknowledges the distinct and complex conditions that shape urban development in the Global South, including rapid demographic transitions, informality, fiscal and institutional constraints, colonial planning legacies, and heightened vulnerability to climate-related risks3,4. Therefore, achieving sustainable urban development in this context necessitates a decisive shift in perspective.
Instead of framing the discourse on how cities of the Global South can simply “catch up,” we argue for an empirically grounded reframing that starts from local biophysical and socioeconomic conditions and leads to context-specific solutions2. This shift is also consistent with evidence that climate-related urban risks are intensifying and are shaped by local exposure, vulnerability, and governance capacity, particularly in rapidly growing cities.
This Collection, Urban Sustainability in the Global South, was dedicated to supporting and amplifying research aligned with Sustainable Development Goal 11 (SDG 11), Sustainable Cities and Communities. It aimed to bring together a diverse range of contributions that not only document the multifaceted challenges confronting cities of the Global South but also shed light on pathways toward inclusive, safe, resilient, and sustainable urban futures.
Nine papers are included in this Collection. They cover diverse countries, including but not limited to China, Pakistan, Egypt, Iran, India, and South Africa. Methodologically, they employ advanced data-driven approaches, including geographic information systems, remote sensing technologies, and state-of-the-art econometrics and statistical techniques. Together, these papers provide nuanced and empirically grounded insights into various critical areas, such as climate vulnerability and social equity in green infrastructure. They can be broadly categorized into two groups: urban green spaces (3 papers) and urban sustainability and resilience (6 papers).
Urban green spaces not only play a pivotal role in shaping human activity behaviors and promoting healthy lifestyles but also serve as essential infrastructure for urban sustainability5,6,7. Kifayatullah et al.8 employed GIS-based spatial analysis to examine the spatial distribution, typology, and functionality of urban green spaces in Islamabad, Pakistan, revealing pronounced spatial inequities. For example, wealthier areas possessed larger and better-maintained green spaces. The authors argue that these disparities compromise both ecological integrity and social cohesion and thus advocate data-driven planning to advance the equitable provision of green space. Complementing this supply-side perspective, Mohamed and Kronenberg9 analyzed users’ perceptions of park accessibility and attractiveness in Cairo, Egypt, by mining social media data (specifically, online reviews). They revealed that user-generated content provides urban planners and practitioners with nuanced insights that can inform evidence-based planning and management decisions. Maleknia and Svobodova10 investigated the behavioral determinants of Iranian female high-school students’ intentions to conserve urban forests through an extended theory of planned behavior. The authors found that attitudes, perceived behavioral control, environmental awareness, and social responsibility emerged as significant predictors, whereas subjective norms did not. Consequently, they emphasized the pivotal role of cultivating environmental responsibility and practical skills to foster youth engagement in urban forest conservation.
As emphasized in SDG 11, urban sustainability and resilience are of paramount importance to cities worldwide. Hzami et al.11 evaluated the vulnerability of coastal energy infrastructure in Doha, Qatar, under diverse sea-level rise scenarios. Their projections indicated that by 2100, nearly 60% of the city’s land area and 39% of its residential power units will be at risk of inundation. Their analysis underscores the urgent necessity for integrated adaptation strategies aimed at safeguarding coastal infrastructure and enhancing energy resilience. In the context of heat-related risks, Ramachandra et al.12 investigated the linkages between urban heat islands and landscape morphology in Bangalore, India. Their findings revealed that landscapes covered with vegetation and water bodies serve as critical heat sinks, playing a vital role in mitigating urban heat. Shifting the focus from climatic hazards to social development, Avtar et al.13 examined the impact of built-up population density on human well-being in Delhi, India. They found that while moderate density can improve access to services, excessive density exacerbates infrastructure pressure, reduces green space availability, and intensifies resource stress. Consequently, they proposed context-specific (place-varying) urban planning strategies to address these challenges. Zhang et al.14 explored the environmental implications of China’s super urban agglomeration strategy. They demonstrated that industrial aggregation generally has an inverted U-shaped effect on industrial pollution, though this effect varies across urban agglomerations at different stages of development. They argued that context-specific industrial agglomeration policies and cross-regional environmental governance are crucial for balancing economic efficiency with ecological sustainability. Bai and Shen15 analyzed the influence of the digital economy on sustainable urban development across 30 underdeveloped cities in northwest China. Their findings underscore the critical importance of developing differentiated digital strategies to foster inclusive and sustainable urban transformation processes. Du Plessis et al.16 explored the feasibility of integrating co-creation approaches into conventional landscape design practices, while carefully considering the diverse interests of relevant stakeholders.
Collectively, the papers in this Collection underscore the inherent complexity of urban sustainability in the Global South, while demonstrating that localized, data-driven, and context-specific approaches are indispensable. They offer timely and evidence-based guidance for policymakers and practitioners striving to build inclusive, safe, resilient, and sustainable urban futures. Future research and practice can be advanced along several key directions: (1) developing innovative methodologies and data governance systems to enhance the monitoring and holistic understanding of urban transformation processes across the Global South; (2) strengthening data-informed planning frameworks that safeguard equitable access to healthy and livable environments for all residents; (3) exploring urban–rural linkages to strengthen ecological resilience, consolidate food security, and promote regional sustainability; and (4) deepening locally grounded and inclusive approaches that integrate diverse cultural norms, institutional arrangements, and multi-level governance perspectives.
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