Digitally melting cities under climate stress

Abstract Urban land-use planning has traditionally assumed that core functions—industry, housing, office, and retail—require expansive, permanent physical footprints. This physicality paradigm, inherited from the beginning of organized urbanism, is now challenged by rapid digitization and intensifyi...

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Main Author: Ünsal Özdilek
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Cities
Subjects:
Online Access:https://doi.org/10.1007/s44327-025-00099-7
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author Ünsal Özdilek
author_facet Ünsal Özdilek
author_sort Ünsal Özdilek
collection DOAJ
description Abstract Urban land-use planning has traditionally assumed that core functions—industry, housing, office, and retail—require expansive, permanent physical footprints. This physicality paradigm, inherited from the beginning of organized urbanism, is now challenged by rapid digitization and intensifying environmental and climate pressures. Increasingly, tasks once anchored to factories, offices, and storefronts migrate to automated, remote, or virtual platforms, undermining the notion that physical expansion must track economic or social progress. Confronted with global urbanization and looming climate emergencies, digitization compels a reevaluation of how cities allocate land, consume resources, and protect vulnerable communities. This paper introduces a dynamic “meltdown” framework for understanding how digitization systematically erodes structural reliance, thereby freeing or repurposing land for adaptive reuse. Drawing on spatio‐temporal big data from sensor networks, remote sensing, geographic information systems, and occupant analytics, we examine how key urban tasks—production, commerce, administration, and residency—can be quantified for “meltability” based on physical anchorage, digital capacity, and environmental constraints. Our model demonstrates that meltdown not only diminishes structural demand but also opens opportunities for greener infrastructure, such as flood buffers or urban forests, thus enhancing climate resilience. By integrating real‐time data and occupant‐centered metrics, planners and policymakers can anticipate where and when digital alternatives render conventional land uses obsolete, proactively converting those areas to more sustainable or socially beneficial functions. In doing so, this research transcends conventional “smart city” optimization, revealing how occupant activities disrupt once‐immutable footprints and forging a data‐driven path to reduce carbon emissions, strengthen ecosystem services, and help equitable, knowledge‐driven urban development under mounting climate challenges.
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spelling doaj-art-e8ccbfb272f14d1f92aa043e028e991c2025-08-20T03:27:10ZengSpringerDiscover Cities3004-83112025-06-012112010.1007/s44327-025-00099-7Digitally melting cities under climate stressÜnsal Özdilek0University of Quebec in Montreal (UQAM)Abstract Urban land-use planning has traditionally assumed that core functions—industry, housing, office, and retail—require expansive, permanent physical footprints. This physicality paradigm, inherited from the beginning of organized urbanism, is now challenged by rapid digitization and intensifying environmental and climate pressures. Increasingly, tasks once anchored to factories, offices, and storefronts migrate to automated, remote, or virtual platforms, undermining the notion that physical expansion must track economic or social progress. Confronted with global urbanization and looming climate emergencies, digitization compels a reevaluation of how cities allocate land, consume resources, and protect vulnerable communities. This paper introduces a dynamic “meltdown” framework for understanding how digitization systematically erodes structural reliance, thereby freeing or repurposing land for adaptive reuse. Drawing on spatio‐temporal big data from sensor networks, remote sensing, geographic information systems, and occupant analytics, we examine how key urban tasks—production, commerce, administration, and residency—can be quantified for “meltability” based on physical anchorage, digital capacity, and environmental constraints. Our model demonstrates that meltdown not only diminishes structural demand but also opens opportunities for greener infrastructure, such as flood buffers or urban forests, thus enhancing climate resilience. By integrating real‐time data and occupant‐centered metrics, planners and policymakers can anticipate where and when digital alternatives render conventional land uses obsolete, proactively converting those areas to more sustainable or socially beneficial functions. In doing so, this research transcends conventional “smart city” optimization, revealing how occupant activities disrupt once‐immutable footprints and forging a data‐driven path to reduce carbon emissions, strengthen ecosystem services, and help equitable, knowledge‐driven urban development under mounting climate challenges.https://doi.org/10.1007/s44327-025-00099-7Urban digital transformationLand use dematerializationSpatio-temporal big dataMeltdown (framework)Climate‐resilient urbanismSustainable urban development
spellingShingle Ünsal Özdilek
Digitally melting cities under climate stress
Discover Cities
Urban digital transformation
Land use dematerialization
Spatio-temporal big data
Meltdown (framework)
Climate‐resilient urbanism
Sustainable urban development
title Digitally melting cities under climate stress
title_full Digitally melting cities under climate stress
title_fullStr Digitally melting cities under climate stress
title_full_unstemmed Digitally melting cities under climate stress
title_short Digitally melting cities under climate stress
title_sort digitally melting cities under climate stress
topic Urban digital transformation
Land use dematerialization
Spatio-temporal big data
Meltdown (framework)
Climate‐resilient urbanism
Sustainable urban development
url https://doi.org/10.1007/s44327-025-00099-7
work_keys_str_mv AT unsalozdilek digitallymeltingcitiesunderclimatestress