Dr. Kavita Dehalwar
Abstract
Indian cities are undergoing rapid spatial, demographic, economic, and infrastructural transformation. This transformation is creating opportunities for economic development while simultaneously increasing exposure to heat, flooding, water scarcity, air pollution, mobility stress, infrastructure failure, and social inequality. Climate change intensifies these challenges because urban development frequently occurs through fragmented land-use decisions, increasing impervious surfaces, loss of natural drainage systems, inadequate public transport, encroachment on environmentally sensitive areas, and uneven access to services. Climate resilience therefore cannot be addressed through isolated engineering projects. It requires an integrated planning framework in which land use, housing, mobility, water management, green infrastructure, environmental quality, digital technologies, and social inclusion are considered as interconnected components of the urban system.
This article develops an integrated framework for climate-resilient and water-sensitive urban development in India. It examines the relationship between urban form and climate risk; the role of land-use planning in controlling exposure; water-sensitive urban design; urban green and blue infrastructure; climate-responsive housing; transit-oriented development; first- and last-mile accessibility; sustainable construction; artificial intelligence and spatial modelling; digital twins; participatory planning; and institutional and financial mechanisms for implementation. The discussion draws on research concerning transit-oriented development, land-use transportation interaction, urban growth modelling, green buildings, recycled construction materials, mobility behaviour, accessibility, urban water quality, artificial intelligence, digital twins, and social justice, together with international evidence from the IPCC, UN-Habitat, United Nations and World Bank.
The article argues that resilient urban development should move from a reactive disaster-management model toward a proactive spatial-development model. Rather than treating climate adaptation as an additional layer applied to conventional planning, resilience should become a fundamental criterion for decisions concerning where cities grow, how neighbourhoods are structured, how people move, how water is retained and reused, how buildings are designed, and how infrastructure investments are prioritized. Such an approach can help Indian cities pursue development while simultaneously reducing climate vulnerability, improving accessibility, strengthening ecological systems, and advancing social equity.
Keywords: climate resilience; water-sensitive urban design; Indian cities; urban planning; transit-oriented development; green infrastructure; digital twins; artificial intelligence; land-use transportation interaction; inclusive planning
1. Introduction
Urbanisation is one of the defining spatial processes of the twenty-first century. Cities concentrate employment, education, health services, infrastructure, innovation, markets, and cultural activity, but they also concentrate environmental pressures and social vulnerabilities. The challenge facing contemporary urban planning is therefore not simply to accommodate population growth but to determine how growth can occur without increasing exposure to climate hazards and environmental degradation.
The United Nations identifies inclusive, safe, resilient and sustainable cities as a central component of the Sustainable Development Goals. SDG 11 specifically links adequate housing, sustainable transport, participatory planning, disaster-risk reduction, environmental protection and access to public space. ๎
The scale of the challenge is substantial. Recent United Nations reporting indicates that more than half of the world’s population lives in urban areas, while approximately 1.1 billion people live in slums or slum-like conditions. The same evidence highlights persistent challenges concerning public transport accessibility, urban sprawl, air pollution and inadequate public spaces. ๎
Climate change makes these existing urban challenges more complex. The IPCC identifies increasing climate-related risks in cities and settlements and emphasizes that urbanisation, exposure and vulnerability interact with climate hazards. Rapid growth in vulnerability and exposure is particularly important in unplanned and informal settlements, low- and middle-income countries, and smaller and medium-sized urban centres. ๎
The problem is particularly relevant for India. Indian cities are expanding horizontally and vertically, while infrastructure systems often struggle to keep pace with population growth. The World Bank’s recent assessment of Indian cities argues that the country has an important opportunity to shape future urban growth in a climate-resilient manner because a large proportion of the infrastructure required for future urbanisation has yet to be built. ๎
This creates a critical planning opportunity. Climate resilience should not be understood only as the ability of an existing city to recover after floods, heatwaves or other disasters. It should also mean the ability to prevent the creation of future risk through better spatial planning. The location of new housing, the conversion of agricultural land, the preservation of wetlands, the alignment of transport corridors, the density of development, the design of streets and the management of stormwater can all influence future vulnerability.
Research on urban growth prediction demonstrates the importance of understanding the spatial consequences of development. Kumar et al. (2025), for example, examined urban growth prediction using a CA-ANN model and spatial analysis for planning policy in Indore. Such approaches demonstrate how spatial modelling can assist planners in anticipating patterns of urban expansion rather than responding only after development has occurred.
Similarly, Sharma and Dehalwar (2025) examined the role of land-use transportation interaction models in smart urban growth management. Land use and mobility are not independent systems: transport infrastructure influences development patterns, while development density and spatial distribution influence travel demand. This interaction is particularly important when planning climate-resilient cities because poorly coordinated development can increase automobile dependence, infrastructure costs, energy consumption and exposure to environmental hazards.
The central argument of this article is therefore that climate-resilient urban development requires integrated spatial planning. It must connect five major systems:
- land and urban form;
- water and ecological systems;
- mobility and transport;
- buildings and infrastructure; and
- people, institutions and digital technologies.
The objective is not to prescribe a single model for all Indian cities. Rather, it is to develop a planning framework that can be adapted to different geographical and socio-economic contexts.
2. From Conventional Urban Planning to Climate-Resilient Development
Traditional urban planning has often separated land use, transportation, housing, infrastructure, environment and disaster management into different sectors. This administrative separation can produce technically competent projects that nevertheless create problems elsewhere in the urban system.
For example, widening a road may improve vehicular capacity in the short term but encourage development along the corridor, increase impervious surfaces and generate additional traffic. Constructing a flood wall may protect one locality while transferring water-related risk to another. Replacing natural drainage channels with underground stormwater infrastructure may increase development capacity in the short term while reducing ecological storage. Expanding low-density housing into peripheral areas may provide additional housing but increase commuting distances and infrastructure costs.
The IPCC emphasizes precisely this interconnectedness. Urban morphology, infrastructure, land use, building design, transport, water systems and ecosystem services interact in determining climate risk. Urban expansion and the loss of green infrastructure can reduce adaptive capacity and increase exposure. ๎
UN-Habitat similarly describes urban resilience as an interconnected condition involving communities, markets, ecosystems, infrastructure and technology rather than a narrowly defined engineering characteristic. ๎
This suggests a shift from project-based resilience to system-based resilience.
2.1 Project-based resilience
A project-based approach generally asks:
- How can flooding be controlled?
- How can roads be widened?
- How can buildings be cooled?
- How can drainage capacity be increased?
- How can emergency response be improved?
These questions remain important, but they are often addressed independently.
2.2 System-based resilience
A system-based approach instead asks:
- Why is development occurring in flood-prone areas?
- Why is runoff increasing?
- How does road construction change land use?
- How does density affect water demand?
- How does transport accessibility affect housing location?
- Which groups are most exposed?
- How can green infrastructure provide several benefits simultaneously?
- How can digital systems support integrated decision-making?
This approach recognizes that resilience is produced through the cumulative interaction of planning decisions.
3. Urban Growth and the Spatial Production of Climate Risk
Urban climate risk is not simply a natural phenomenon. A rainfall event becomes a disaster partly because of how land has been developed, where people live, how drainage systems have been designed and how emergency access is organized.
The IPCC reports that urbanisation can generate vulnerability and exposure that combine with climate hazards to create risk. It further identifies unplanned expansion, including peri-urban development, as an important driver of risk. ๎
This perspective is highly relevant to Indian cities, where peripheral development frequently occurs faster than infrastructure provision.
3.1 Urban sprawl
Urban sprawl can create several climate-related problems:
- conversion of agricultural and ecological land;
- increasing travel distances;
- dependence on private vehicles;
- higher infrastructure costs;
- fragmentation of natural drainage;
- greater stormwater runoff;
- loss of vegetation;
- increased energy consumption; and
- uneven access to employment and services.
The problem is not simply that cities become larger. Rather, the spatial structure of growth determines whether expansion produces efficient and resilient urban systems.
3.2 Urban growth modelling
Spatial models can assist planning authorities in evaluating alternative growth scenarios. Cellular automata, artificial neural networks, remote sensing and GIS can identify patterns of development and simulate potential future expansion.
Kumar et al. (2025) demonstrated the relevance of CA-ANN modelling and spatial analysis for predicting urban growth and supporting planning policy in Indore. Such approaches can be expanded to include climate variables.
For example, a future urban-growth model could incorporate:
- elevation;
- slope;
- flood susceptibility;
- proximity to water bodies;
- drainage networks;
- vegetation;
- road accessibility;
- public transport;
- employment centres;
- population density;
- land value; and
- infrastructure capacity.
The resulting model would not merely predict where development is likely to occur. It could evaluate whether those locations are desirable from a climate-resilience perspective.
3.3 Land-use transportation interaction
The relationship between land use and transportation is equally important. Sharma and Dehalwar (2025) reviewed land-use transportation interaction models in the context of smart urban growth management. The key planning implication is that transport investments and land development should be coordinated.
A new high-capacity transport corridor can influence land values, density and development intensity. If planned appropriately, this can support compact, mixed-use and transit-oriented development. If poorly planned, it can encourage speculative development, congestion and uncontrolled peripheral expansion.
4. Water-Sensitive Urban Development
Water is one of the most important dimensions of climate-resilient urban planning. Indian cities face both extremes: intense rainfall and flooding in some periods and water scarcity in others.
A conventional urban drainage approach generally seeks to remove rainfall as rapidly as possible. A water-sensitive approach instead seeks to retain, infiltrate, treat, reuse and safely convey water within the urban system.
This represents a conceptual shift:
From โdrain water awayโ to โmanage water as an urban resource.โ
4.1 Components of water-sensitive planning
A water-sensitive urban system can include:
- rainwater harvesting;
- permeable pavements;
- bioswales;
- rain gardens;
- detention ponds;
- retention ponds;
- constructed wetlands;
- urban forests;
- restored streams;
- green roofs;
- wastewater reuse;
- decentralized treatment;
- groundwater recharge;
- floodable public spaces; and
- integrated stormwater management.
These measures should not be considered decorative environmental additions. They can become part of the city’s basic infrastructure.
4.2 Permeable surfaces
The replacement of conventional impermeable surfaces with permeable materials can reduce surface runoff and support groundwater recharge where soil and groundwater conditions permit.
Sharma et al. (2026) examined advanced materials for permeable paving, biocrete and piezoelectric materials in walkways to transit stations. Such research illustrates how infrastructure materials can be considered simultaneously in terms of environmental performance, mobility and technological innovation.
Similarly, Sharma et al. (2024) examined the life-cycle assessment of recycled and secondary materials in road construction. Life-cycle thinking is important because climate-resilient infrastructure should not be evaluated solely according to initial construction cost. Embodied energy, material extraction, durability, maintenance and end-of-life impacts also matter.
4.3 Urban wetlands and blue infrastructure
Urban water bodies, wetlands, streams and floodplains should be considered infrastructure.
Their functions can include:
- flood storage;
- groundwater recharge;
- biodiversity conservation;
- temperature regulation;
- recreation;
- landscape enhancement;
- pollution reduction; and
- ecological connectivity.
The destruction of these systems often creates long-term infrastructure liabilities. Once wetlands are filled or drainage channels are encroached upon, cities must compensate through increasingly expensive engineered systems.
4.4 Water quality and public health
Water resilience must also address water quality. Sharma, Dehalwar and Pandey (2026) examined measures for managing urban water quality for public health. This relationship is important because climate change can increase the risk of contamination during flooding and place additional pressure on water-treatment systems.
A water-sensitive city should therefore manage the complete water cycle:
rainfall โ capture โ storage โ treatment โ distribution โ consumption โ wastewater treatment โ reuse/recharge.
5. Green and Blue Infrastructure as Urban Climate Infrastructure
Urban green infrastructure includes trees, parks, green corridors, wetlands, urban forests, green roofs and other vegetated systems. Blue infrastructure includes rivers, lakes, ponds, wetlands, canals and other water systems.
Together, these systems can form an ecological network.
The IPCC notes that urban expansion and degradation of green infrastructure can increase climate risk, while urban form can influence local temperatures and runoff. ๎
5.1 Urban heat mitigation
Vegetation can provide shade and evapotranspiration, while appropriately designed green spaces can improve outdoor thermal conditions.
However, simply increasing the number of parks is insufficient. The location, accessibility, species selection, canopy structure, water availability and maintenance regime all influence performance.
A climate-resilient green infrastructure strategy should prioritize:
- high heat-exposure areas;
- pedestrian routes;
- schools;
- hospitals;
- public transport stops;
- informal settlements;
- dense residential areas; and
- areas with limited private open space.
5.2 Public open spaces and mobility
Lalramsangi et al. (2025) examined route choices for accessing public open spaces in hill cities. Their work reinforces the importance of accessibility in evaluating public spaces.
A park cannot provide equitable climate benefits if vulnerable populations cannot reach it safely.
Thus, green infrastructure planning should be integrated with pedestrian and public transport networks.
5.3 Green corridors
Green corridors can connect:
- parks;
- water bodies;
- neighbourhoods;
- transit stations;
- institutional areas;
- ecological habitats; and
- pedestrian and cycling networks.
Such corridors can simultaneously support biodiversity, recreation, active mobility and climate adaptation.
6. Climate-Resilient Housing and Neighbourhood Design
Housing is a central component of climate resilience because exposure is determined partly by where and how people live.
The United Nations identifies adequate, safe and affordable housing as a fundamental component of SDG 11. ๎
Climate-resilient housing should address:
- heat;
- flooding;
- ventilation;
- water availability;
- sanitation;
- energy demand;
- structural safety;
- accessibility;
- affordability; and
- social connectivity.
6.1 Passive design
Passive design can reduce dependence on mechanical cooling.
Important principles include:
- orientation;
- shading;
- cross-ventilation;
- appropriate window-to-wall ratios;
- thermal insulation;
- roof treatment;
- courtyards;
- vegetation;
- daylighting; and
- locally appropriate materials.
The most appropriate combination differs by climate zone.
6.2 Neighbourhood-scale resilience
Buildings should not be evaluated independently from their surroundings.
A climate-resilient neighbourhood requires:
- shaded streets;
- accessible public spaces;
- drainage;
- safe pedestrian routes;
- emergency access;
- nearby services;
- public transport;
- water infrastructure; and
- community facilities.
This makes neighbourhood planning as important as building design.
6.3 Informal settlements
Informal settlements frequently face overlapping vulnerabilities: insecure tenure, inadequate drainage, poor-quality housing, limited water supply and limited access to emergency services.
The IPCC identifies informal and unplanned settlements as important locations of increasing climate vulnerability, particularly where adaptive capacity is limited. ๎
Consequently, climate adaptation should not rely exclusively on relocation. Depending on local conditions, upgrading may include:
- drainage improvement;
- water and sanitation;
- street paving;
- tree planting;
- heat reduction;
- housing improvement;
- emergency access;
- tenure security; and
- improved public transport.
Dehalwar and Sharma (2023), in their analysis of slums in Bhopal, highlight the importance of understanding informal settlements through the combined dimensions of struggle, vulnerability and resilience rather than viewing them solely as spatial problems.
7. Transit-Oriented Development as a Climate Strategy
Transportation is simultaneously a mobility system, a land-use system and an environmental system.
Transit-oriented development (TOD) can contribute to climate-resilient urban development when it combines:
- compact development;
- mixed land uses;
- public transport;
- walking;
- cycling;
- reduced automobile dependence;
- accessible public spaces; and
- efficient infrastructure.
Sharma, Kumar and Dehalwar (2024) discussed the precursors of transit-oriented development, while Sharma and Dehalwar (2025) reviewed the relationship between TOD and economic development.
The climate significance of TOD is not limited to emissions reduction. Compact development can also reduce infrastructure duplication and shorten travel distances.
7.1 Density and accessibility
Density by itself is not a sufficient planning objective. High density without infrastructure can increase heat, congestion and environmental pressure.
The relevant concept is accessible density: density supported by transport, public space, water, sanitation, energy and social infrastructure.
7.2 Mixed land use
Mixed-use neighbourhoods can reduce the need for long-distance travel by bringing employment, retail, education and services closer to residents.
This can support:
- walking;
- cycling;
- public transport;
- shorter trips; and
- more efficient use of infrastructure.
7.3 Transit stations as climate-resilient nodes
Transit stations can become multifunctional resilience nodes.
A station area may integrate:
- public transport;
- shaded pedestrian infrastructure;
- bicycle facilities;
- green space;
- rainwater management;
- public services;
- emergency communication; and
- commercial activity.
This creates a more integrated relationship between transport infrastructure and climate adaptation.
8. First- and Last-Mile Connectivity
A major weakness of many transit systems is the gap between the station and the traveller’s actual origin or destination.
Yadav, Dehalwar and Sharma (2025) reviewed factors affecting first- and last-mile accessibility in TOD. Their research highlights that transit accessibility depends on more than the presence of a station.
Relevant factors include:
- walking distance;
- street connectivity;
- safety;
- weather;
- land use;
- pedestrian infrastructure;
- cycling;
- feeder services;
- affordability;
- accessibility for older persons and persons with disabilities; and
- perceived comfort.
Yadav et al. (2025) further examined user satisfaction with last-mile connectivity in Tier-2 Indian cities from a climate-sensitive perspective.
This is especially important in Indian cities because extreme heat, intense rainfall and poor pedestrian infrastructure can discourage walking even when distances are theoretically short.
8.1 Climate-sensitive accessibility
Accessibility planning should therefore incorporate environmental exposure.
A 700-metre walking route is not equivalent under:
- shaded and tree-lined conditions;
- exposed concrete pavement;
- intense summer heat;
- heavy rainfall;
- poor drainage; or
- unsafe pedestrian conditions.
Accessibility metrics should consequently move beyond distance and include thermal comfort, shade, drainage, safety and route quality.
9. Public Transport User Satisfaction and Inclusive Mobility
Transport resilience is also social resilience.
Lodhi, Jaiswal and Sharma (2024) examined bus-user satisfaction using discrete choice models in Bhopal. Such research demonstrates the importance of understanding mobility from the user’s perspective rather than evaluating transport systems solely through infrastructure indicators.
A resilient transport system should be:
- affordable;
- reliable;
- safe;
- accessible;
- comfortable;
- legible;
- connected; and
- adaptable to extreme weather.
Sharma and Dehalwar (2025) also examined the inclusivity of India’s National Urban Transport Policy for senior citizens. This highlights the need to recognize different user groups in transport planning.
Women, children, older persons, persons with disabilities, low-income workers and informal-sector workers may experience the same transport network differently.
Consequently, resilience indicators should be disaggregated by social group wherever appropriate.
10. Road Safety and Climate Resilience
Road safety is sometimes treated separately from climate adaptation, but the two systems interact.
Extreme rainfall can reduce visibility and traction. Flooding can obstruct roads. Heat can affect pavement conditions. Poorly planned emergency routes can delay evacuation.
Sharma, Singh and Dehalwar (2024) examined surrogate safety analysis and the use of advanced technologies for safer roads. Such approaches can complement traditional crash-based safety analysis by identifying potentially hazardous interactions.
Climate-resilient mobility planning should therefore integrate:
- road safety;
- flood susceptibility;
- emergency accessibility;
- pedestrian safety;
- public transport;
- traffic management; and
- real-time information.
Automatic traffic counters, speed radar systems, GPS devices and traffic simulation platforms can support this process. PTV VISSIM and VISUM, for example, can be used to examine traffic and network scenarios where appropriate.
11. Green Buildings and Sustainable Neighbourhoods
Buildings represent a major component of urban energy demand and material consumption.
Sharma et al. (2025) examined the role of green buildings in creating sustainable neighbourhoods. The neighbourhood perspective is particularly important because building performance is influenced by surrounding urban form.
A green building surrounded by poorly designed streets and infrastructure may still produce significant environmental impacts.
11.1 Building-level strategies
Climate-responsive buildings can incorporate:
- passive cooling;
- natural ventilation;
- solar energy;
- energy-efficient appliances;
- rainwater harvesting;
- wastewater reuse;
- low-carbon materials;
- thermal insulation;
- green roofs; and
- efficient lighting.
11.2 Neighbourhood-level strategies
At the neighbourhood scale, planning can coordinate:
- building orientation;
- street geometry;
- tree canopy;
- open spaces;
- water infrastructure;
- renewable energy;
- public transport; and
- waste management.
This can generate cumulative benefits that individual building certification cannot achieve alone.
12. Circular Construction and Low-Carbon Infrastructure
Climate-resilient urban development must consider not only operational emissions but also construction materials.
The construction sector consumes substantial quantities of raw materials. Roads, buildings, drainage systems and public spaces therefore create long-term material footprints.
Sharma et al. (2024) examined life-cycle assessment of recycled and secondary materials in road construction. Life-cycle assessment can help planners compare alternatives according to environmental impacts over the entire material cycle.
A circular urban infrastructure strategy can prioritize:
- recycled aggregates;
- secondary construction materials;
- material reuse;
- design for disassembly;
- local materials;
- low-carbon concrete alternatives;
- construction waste recovery; and
- long-life infrastructure.
The principle should be:
build less wastefully, maintain better, reuse more, and replace only when necessary.
13. Artificial Intelligence for Climate-Resilient Urban Planning
Artificial intelligence can enhance urban planning by processing large and complex datasets.
Potential applications include:
- urban growth prediction;
- flood-risk mapping;
- traffic forecasting;
- travel-demand modelling;
- infrastructure monitoring;
- land-use classification;
- heat-risk mapping;
- water-demand prediction;
- energy forecasting;
- waste management; and
- emergency response.
Sharma, Dehalwar, Jain and Pandey (2025) examined applications and prospects of AI tools in solid waste management. Ogbanga et al. (2025) explored artificial intelligence in social work and environmental sustainability. These studies demonstrate that AI applications increasingly extend beyond conventional engineering into social and environmental systems.
13.1 AI and urban growth
CA-ANN models can combine spatial relationships and machine-learning techniques to predict urban expansion. Such models could be extended by integrating climate-risk layers.
For example:
Urban growth suitability = f(accessibility, land value, existing development, infrastructure, elevation, flood risk, ecological sensitivity, climate exposure).
This can help planners identify locations where development is both economically feasible and environmentally appropriate.
13.2 AI and mobility
Yadav, Dehalwar and Sharma (2025/2026) proposed a user-centric machine-learning framework for predicting multimodal accessibility in TOD zones in Tier-2 Indian cities.
Such approaches can help shift mobility planning from infrastructure supply toward user-centred accessibility.
Sharma, Dehalwar and Yadav (2026) also examined advances in AI-based mobility modelling, demonstrating the growing potential for intelligent transport infrastructure.
14. Digital Twins and Urban Resilience
Digital twins represent another emerging opportunity.
A digital twin can integrate spatial, infrastructure, environmental and operational data to create a dynamic digital representation of an urban system.
Potential applications include:
- flood simulation;
- traffic management;
- infrastructure monitoring;
- energy modelling;
- land-use scenario analysis;
- emergency planning;
- asset management; and
- climate adaptation.
Sharma, Dehalwar and Yadav (2026) examined urban spatial digital twins in relation to sustainability and economic growth in TOD-based development.
The importance of digital twins lies not merely in creating a sophisticated visual model. Their value comes from connecting data to decisions.
14.1 From static GIS to dynamic urban intelligence
Traditional GIS may answer:
Where is the drainage network?
A digital twin could support a more complex question:
What happens to traffic, drainage, pedestrian movement and emergency accessibility if a particular rainfall event occurs while a major transport corridor is disrupted?
This represents a transition from descriptive mapping to scenario-based planning.
14.2 Digital twins and participatory planning
Digital twins should not be restricted to technical experts. Simplified visual interfaces can help communities understand proposed changes.
For example, residents could compare:
- current development;
- high-density development;
- green infrastructure scenarios;
- flood-risk scenarios; and
- alternative transport networks.
This could make technical planning information more accessible.
15. People-Centred Smart Cities
Smart-city development should not equate technological sophistication with urban quality.
UN-Habitat’s World Smart Cities Outlook 2024 explicitly approaches smart-city development through a people-centred framework, examining technology in relation to sustainability, resilience, equity, social inclusion, accessibility and quality of life. ๎
This is important because digital technologies can also create exclusion.
Potential problems include:
- digital divides;
- unequal access to smartphones and internet services;
- algorithmic bias;
- lack of digital skills;
- privacy concerns;
- exclusion of digitally marginalized groups; and
- dependence on proprietary systems.
A resilient smart city therefore needs both technological infrastructure and social capacity.
16. Participatory Planning and Local Knowledge
Climate resilience cannot be designed exclusively through top-down technical planning.
Residents possess knowledge about:
- recurring flooding;
- water shortages;
- unsafe streets;
- inaccessible transport;
- local drainage;
- heat exposure;
- vulnerable households; and
- informal coping systems.
Sharma (2012) examined participatory planning in plan preparation, highlighting the role of participation in planning processes.
Jain, Dehalwar and Sharma (2024) discussed Delphi research and expert-opinion surveys, demonstrating another mechanism through which expert knowledge can contribute to planning decisions.
A robust planning process can combine:
scientific data + professional expertise + local knowledge + community participation.
16.1 Participatory climate mapping
Community members can contribute to mapping:
- flood locations;
- waterlogging;
- heat exposure;
- unsafe routes;
- inaccessible facilities;
- damaged infrastructure; and
- areas lacking shade.
This information can complement satellite imagery and municipal datasets.
16.2 Social justice
Climate resilience must also consider who receives protection and who bears costs.
Dehalwar and Sharma (2024) examined social injustice associated with spatial changes in vernacular settings. Their work reinforces the broader point that spatial transformation can produce uneven social consequences.
A resilience project should therefore ask:
- Who benefits?
- Who pays?
- Who is displaced?
- Who gains access?
- Who loses access?
- Which neighbourhoods receive investment?
- Which groups participate in decision-making?
These are planning questions, not merely social-policy questions.
17. Gender, Social Inclusion and Resilience
Climate risks are socially differentiated.
Women, older persons, children, persons with disabilities, low-income residents, migrants and residents of informal settlements may experience climate hazards differently.
The World Cities Report 2024 emphasizes that climate change can exacerbate existing inequalities and that marginalized groups often have fewer resources with which to respond to impacts. ๎
This suggests that climate-resilient planning should incorporate social vulnerability mapping.
Possible indicators include:
- age;
- income;
- disability;
- housing quality;
- access to transport;
- access to healthcare;
- access to water;
- distance to emergency facilities; and
- tenure conditions.
The objective should not be to label communities as vulnerable but to identify where public investment can reduce structural exposure.
18. RuralโUrban and Peri-Urban Resilience
Urban resilience cannot stop at municipal boundaries.
Peri-urban areas often contain:
- agricultural land;
- wetlands;
- forests;
- water bodies;
- villages;
- new housing;
- industrial development; and
- transport infrastructure.
Urban expansion can therefore create conflicts between development and ecological functions.
Chatterjee and Sharma (2020), in their review of Pradhan Mantri Gram Sadak Yojana, and Sharma et al. (2023), in their discussion of MGNREGA, illustrate the importance of infrastructure and development interventions beyond the conventional urban core.
An integrated resilience framework should connect:
village โ peri-urban zone โ urban core โ metropolitan region.
This is especially important for water because watersheds do not follow administrative boundaries.
19. Climate-Resilient Infrastructure Financing
Even the most sophisticated plan cannot be implemented without finance.
UN-Habitat notes that cities frequently struggle to access adequate resources for climate action because of institutional, legal and financial constraints. It emphasizes the importance of long-term integrated planning and collaboration between local, regional and national governments and financial institutions. ๎
The urban climate-finance challenge is also visible at the national level. UN-Habitat’s analysis of 194 NDCs found that while many countries identified the need for finance for climate implementation, only a much smaller number specified urban-level financing requests. ๎
19.1 Financing mechanisms
Indian cities can potentially combine:
- municipal revenues;
- state government programmes;
- national urban schemes;
- climate funds;
- development finance;
- public-private partnerships;
- land-value capture;
- green bonds;
- infrastructure funds; and
- user charges.
However, financing mechanisms must be connected to measurable resilience outcomes.
19.2 Resilience budgeting
A resilience budget could classify investments according to outcomes such as:
| Investment | Primary resilience outcome |
|---|---|
| Urban trees | Heat reduction |
| Wetland restoration | Flood storage |
| Public transport | Mobility resilience |
| Drainage improvement | Flood-risk reduction |
| Rainwater harvesting | Water security |
| Cool roofs | Heat reduction |
| Pedestrian infrastructure | Accessible mobility |
| Digital early-warning systems | Disaster preparedness |
| Green buildings | Energy and thermal resilience |
| Informal-settlement upgrading | Social resilience |
Such a framework could help municipalities demonstrate the multiple benefits of investments.
20. Integrating Climate Action into Urban Plans
UN-Habitat’s analysis of Nationally Determined Contributions demonstrates the importance of connecting national climate commitments with local urban action. The 2024 assessment found that 44 percent of the reviewed NDCs emphasized both adaptation and mitigation in urban contexts, with transport, mobility and waste prominent in mitigation discussions and infrastructure and water prominent in adaptation. ๎
The planning implication is that climate objectives should not exist only within separate climate action plans.
They should be integrated into:
- master plans;
- development plans;
- mobility plans;
- local area plans;
- housing strategies;
- infrastructure plans;
- water plans;
- disaster-management plans; and
- capital investment programmes.
20.1 Climate-sensitive land-use zoning
Land-use plans can identify:
- no-development ecological zones;
- flood-sensitive areas;
- areas suitable for densification;
- transit-oriented development zones;
- green corridors;
- water-recharge zones;
- urban agriculture areas; and
- locations for critical infrastructure.
20.2 Scenario planning
Instead of preparing a single future land-use plan, planners can develop scenarios:
Scenario A: business-as-usual expansion.
Scenario B: compact TOD-oriented development.
Scenario C: green-blue infrastructure development.
Scenario D: climate-constrained growth.
These scenarios can then be compared using indicators such as:
- land consumption;
- travel distance;
- emissions;
- flood exposure;
- water demand;
- infrastructure cost;
- accessibility; and
- social inclusion.
21. A Proposed Integrated Framework for Indian Cities
Based on the preceding discussion, an integrated framework can be organized into eight interconnected layers.
Layer 1: Climate and hazard assessment
Map:
- heat;
- floods;
- drought;
- landslides;
- extreme rainfall;
- water stress;
- air pollution; and
- other relevant hazards.
Layer 2: Ecological structure
Identify:
- rivers;
- wetlands;
- lakes;
- forests;
- green corridors;
- agricultural land;
- recharge zones; and
- biodiversity areas.
Layer 3: Urban growth
Analyse:
- existing density;
- growth trends;
- vacant land;
- development pressure;
- land values;
- informal growth; and
- peri-urban expansion.
Layer 4: Mobility
Map:
- public transport;
- walking;
- cycling;
- road networks;
- first- and last-mile connectivity;
- traffic congestion; and
- accessibility to employment and services.
Layer 5: Built environment
Evaluate:
- building density;
- building age;
- roof characteristics;
- thermal performance;
- construction materials;
- energy use; and
- housing vulnerability.
Layer 6: Social vulnerability
Identify:
- low-income communities;
- informal settlements;
- elderly populations;
- children;
- persons with disabilities;
- socially marginalized groups; and
- communities with limited access to services.
Layer 7: Digital intelligence
Integrate:
- GIS;
- remote sensing;
- IoT;
- AI;
- machine learning;
- digital twins;
- sensor networks; and
- real-time dashboards.
Layer 8: Governance and finance
Connect:
- municipal agencies;
- state departments;
- national programmes;
- communities;
- private sector;
- academic institutions;
- civil society; and
- financing institutions.
The key principle is that none of these layers should be planned independently.
22. Indicators for Measuring Climate-Resilient Urban Development
A practical framework requires measurable indicators.
Environmental indicators
- percentage of green cover;
- tree-canopy coverage;
- wetland area;
- impervious-surface ratio;
- stormwater retention capacity;
- groundwater recharge potential;
- water reuse percentage;
- urban heat exposure; and
- air-quality indicators.
Mobility indicators
- public transport accessibility;
- average first-mile distance;
- average last-mile distance;
- pedestrian-network coverage;
- cycling-network coverage;
- travel time;
- transport affordability; and
- road-safety indicators.
Housing indicators
- percentage of housing with adequate ventilation;
- heat exposure;
- flood exposure;
- water access;
- sanitation;
- housing affordability; and
- structural safety.
Social indicators
- accessibility of vulnerable populations;
- participation in planning;
- access to public spaces;
- access to emergency facilities;
- service inequality; and
- displacement risk.
Governance indicators
- climate-sensitive capital expenditure;
- inter-agency coordination;
- public participation;
- data availability;
- monitoring frequency; and
- implementation progress.
23. Role of Universities and Research Institutions
Universities can play an important role in developing evidence-based urban resilience.
Research institutions can support municipalities through:
- spatial analysis;
- urban growth modelling;
- transport modelling;
- climate modelling;
- material life-cycle assessment;
- community surveys;
- participatory planning;
- AI applications;
- digital twins; and
- policy evaluation.
The combination of academic expertise and municipal datasets can produce locally relevant solutions rather than generic planning templates.
For example, a universityโmunicipality partnership could establish a City Resilience Observatory that annually monitors:
- land-use change;
- tree cover;
- flood locations;
- urban heat;
- public transport;
- housing;
- water demand;
- infrastructure conditions; and
- social vulnerability.
Such an observatory could support evidence-based plan revision.
24. Implementation Roadmap
A realistic implementation strategy can be organized into five phases.
Phase I: Baseline assessment
Prepare a citywide spatial database containing:
- land use;
- population;
- infrastructure;
- mobility;
- water;
- ecological assets;
- climate hazards; and
- social vulnerability.
Phase II: Risk and opportunity mapping
Identify:
- high-risk areas;
- climate refuges;
- ecological assets;
- redevelopment areas;
- transit corridors;
- potential green corridors; and
- priority neighbourhoods.
Phase III: Integrated scenarios
Develop alternative spatial scenarios using GIS, urban-growth models, transport models and climate-risk analysis.
Phase IV: Investment prioritization
Rank projects according to transparent criteria such as:
- population benefiting;
- vulnerability reduction;
- environmental benefits;
- cost;
- feasibility;
- implementation period; and
- co-benefits.
Importantly, such prioritization should remain transparent and context-specific rather than assuming that a single technical indicator can determine planning outcomes.
Phase V: Monitoring and adaptive management
Urban resilience is not a one-time project. Plans should be periodically updated using new:
- satellite data;
- climate data;
- mobility data;
- infrastructure information;
- community feedback; and
- performance indicators.
This creates an adaptive planning cycle:
Assess โ Plan โ Implement โ Monitor โ Learn โ Adjust.
25. Key Challenges
Several challenges may limit implementation.
25.1 Institutional fragmentation
Different agencies may control:
- roads;
- water;
- drainage;
- land;
- transport;
- housing;
- environment; and
- disaster management.
Without coordination, integrated planning becomes difficult.
25.2 Data fragmentation
Data may exist in incompatible formats or at different spatial and temporal scales.
A city digital platform therefore requires:
- common standards;
- interoperable datasets;
- metadata;
- data governance; and
- institutional ownership.
25.3 Financial limitations
Resilience projects often generate long-term benefits while requiring immediate investment.
Municipalities therefore need financial instruments that recognize long-term avoided losses and co-benefits.
25.4 Technical capacity
AI, digital twins and advanced modelling require skilled personnel. Technology without institutional capacity can produce systems that are difficult to maintain.
25.5 Social acceptance
Projects involving land-use regulation, redevelopment or infrastructure relocation may generate opposition. Participatory processes should therefore occur before major decisions become irreversible.
26. Discussion: From Resilient Projects to Resilient Urban Systems
The central lesson from the literature is that resilience is fundamentally spatial.
Where people live determines their exposure.
How neighbourhoods are connected determines accessibility.
How land is paved determines runoff.
How streets are shaded determines thermal comfort.
How wetlands are protected determines flood storage.
How transport and land use interact determines travel demand.
How buildings are designed determines energy demand.
How institutions share data determines the quality of decision-making.
The World Bank’s recent work on Indian cities reinforces this opportunity. It emphasizes that a substantial share of future urban infrastructure is yet to be constructed, meaning that current planning decisions can influence long-term resilience rather than merely retrofitting existing systems later. ๎
Similarly, the IPCC emphasizes that building for resilience and lower emissions is generally easier than retrofitting later because urban development can lock in vulnerabilities and emissions. ๎
This makes the next decades especially important for Indian planning.
The objective should not be to create cities that are completely protected from every hazard. Such a goal is unrealistic. Instead, cities should reduce avoidable exposure, strengthen adaptive capacity, improve ecological systems and ensure that vulnerable communities have greater access to protection and opportunity.
27. Conclusion
Climate-resilient and water-sensitive urban development requires a fundamental reconsideration of how Indian cities are planned. Climate change should not be treated as an environmental issue added to an otherwise conventional development framework. It should become a central criterion for decisions about land, infrastructure, transport, housing, water, public space and investment.
The evidence from the IPCC demonstrates that urban form, infrastructure and social vulnerability interact with climate hazards. ๎ UN-Habitat similarly emphasizes that urban resilience depends on interconnected relationships among communities, ecosystems, infrastructure, markets and technologies. ๎
For India, the challenge is also an opportunity. Rapid urban expansion means that many future buildings, roads, neighbourhoods and infrastructure systems have not yet been constructed. The World Bank therefore identifies a significant opportunity to shape future urban growth through resilient infrastructure, housing, transport and municipal services. ๎
A resilient city should consequently be planned as an integrated system.
Its land-use system should reduce exposure.
Its water system should retain, reuse and safely manage water.
Its green infrastructure should reduce heat, manage runoff and improve ecological quality.
Its transport system should provide safe, affordable and climate-sensitive accessibility.
Its buildings should reduce energy demand and improve thermal comfort.
Its construction sector should increasingly adopt life-cycle and circular principles.
Its digital infrastructure should support evidence-based decisions without creating new forms of exclusion.
Its governance system should connect institutions, communities, researchers and financial actors.
Most importantly, resilience should be understood as a matter of people and place, not merely infrastructure. A technically sophisticated city is not necessarily a resilient city if vulnerable residents remain exposed to heat, flooding, inadequate housing, inaccessible transport or unsafe environments.
The future of Indian urban planning therefore lies in moving from fragmented sectoral interventions toward integrated, spatially informed and socially inclusive climate-resilient development. The combination of land-use planning, water-sensitive design, transit-oriented development, green infrastructure, life-cycle assessment, AI, digital twins, participatory planning and inclusive governance provides a pathway through which Indian cities can accommodate growth while reducing future environmental and social risks.
The ultimate objective is not simply to make cities capable of surviving climate shocks. It is to create urban systems that are adaptive, accessible, ecologically functional, economically productive and socially inclusive before the next shock occurs.
References
Chatterjee, S., & Sharma, S. N. (2020). Review of Pradhan Mantri Gram Sadak Yojana. Think India Journal, 23(1), 33โ42.
Dehalwar, K., & Sharma, S. N. (2023). Fate of slums of Bhopalโa tale of struggle and resilience. Think India Journal, 26(4), 4.
Dehalwar, K., & Sharma, S. N. (2024a). Exploring the distinctions between quantitative and qualitative research methods. Think India Journal, 27(1), 7โ15.
Dehalwar, K., & Sharma, S. N. (2024b). Social injustice inflicted by spatial changes in vernacular settings: An analysis of published literature. ISVS e-journal, 11(9), 93โ113.
Intergovernmental Panel on Climate Change. (2022). Climate change 2022: Impacts, adaptation and vulnerability. Chapter 6: Cities, settlements and key infrastructure. IPCC. ๎
Jain, S., Dehalwar, K., & Sharma, S. N. (2024). Explanation of Delphi research method and expert opinion surveys. Think India, 27(4), 37โ48.
Kumar, G., Vyas, S., Sharma, S. N., & Dehalwar, K. (2023). Planning and development of housing in urban fringe area: Case of Bhopal (MP). GIS Business, 18(1), 1โ14.
Kumar, G., Vyas, S., Sharma, S. N., & Dehalwar, K. (2025). Urban growth prediction using CA-ANN model and spatial analysis for planning policy in Indore city, India. GeoJournal, 90(3), 139.
Lalramsangi, V., Garg, Y. K., & Sharma, S. N. (2025). Route choices to access public open spaces in hill cities. Environment and Urbanization ASIA, 16(2), 283โ299. https://doi.org/10.1177/09754253251388721
Lodhi, A. S., Jaiswal, A., & Sharma, S. N. (2024). Assessing bus usersโ satisfaction using discrete choice models: A case of Bhopal. Innovative Infrastructure Solutions, 9(11), 437. https://doi.org/10.1007/s41062-024-01652-w
Ogbanga, M. M., Sharma, S. N., Pandey, A. K., & Singh, P. (2025). Artificial intelligence in social work to ensure environmental sustainability. In M. Nasr, A. Negm, & L. Peng (Eds.), Artificial intelligence applications for a sustainable environment. Springer. https://doi.org/10.1007/978-3-031-91199-6
Sharma, S. N. (2012). Participatory planning in plan preparation: A case of Delhi. EduPedia Publications (P) Ltd.
Sharma, S. N. (2019). Review of most used urban growth models. International Journal of Advanced Research in Engineering and Technology, 10.
Sharma, S. N., & Dehalwar, K. (2025a). A systematic literature review of transit-oriented development to assess its role in economic development of city. Transportation in Developing Economies, 11(2), 23. https://doi.org/10.1007/s40890-025-00245-1
Sharma, S. N., & Dehalwar, K. (2025b). Examining the inclusivity of India’s National Urban Transport Policy for senior citizens. In D. S.-K. Ting & J. A. Stagner (Eds.), Transforming healthcare infrastructure (pp. 115โ134). CRC Press. https://doi.org/10.1201/9781003513834-5
Sharma, S. N., & Dehalwar, K. (2025c). Review of landuse transportation interaction model in smart urban growth management. European Transport, (103), 1โ15.
Sharma, S. N., Chatterjee, S., & Dehalwar, K. (2023). Mahatma Gandhi National Rural Employment Guarantee Scheme: Challenges and opportunities. Think India Journal, 26(1), 7โ15.
Sharma, S. N., Dehalwar, K., Jain, S., & Pandey, A. K. (2025). An assessment of the applications and prospects of AI tools in solid waste management. In Artificial intelligence applications for a sustainable environment (pp. 97โ118). Springer.
Sharma, S. N., Dehalwar, K., & Pandey, A. K. (2026). Measures to manage the urban water quality for public health. In Environmentalism in healthcare (pp. 339โ371).
Sharma, S. N., Dehalwar, K., & Yadav, K. (2026a). Advances in AI-based mobility modelling: Toward intelligent transport infrastructure in smart cities. In AI-Based data mobility and intelligent modeling for smart cities (pp. 67โ106).
Sharma, S. N., Dehalwar, K., & Yadav, K. (2026b). Advancing travel behaviour modelling: A systematic literature review. Civil Engineering Infrastructures Journal, e108027.
Sharma, S. N., Dehalwar, K., & Yadav, K. (2026c). Urban spatial digital twin in sustainability to spur economic growth in transit-oriented development-based development. In Tenable engineering for a sustainable future (pp. 257โ300).
Sharma, S. N., Kumar, A., & Dehalwar, K. (2024). The precursors of transit-oriented development. Economic and Political Weekly, 59(14), 16โ20. https://doi.org/10.5281/zenodo.10939448
Sharma, S. N., Lodhi, A. S., Dehalwar, K., & Jaiswal, A. (2024). Life cycle assessment (LCA) of recycled & secondary materials in the construction of roads. IOP Conference Series: Earth and Environmental Science, 1326(1), 012102.
Sharma, S. N., Singh, D., & Dehalwar, K. (2024). Surrogate safety analysis: Leveraging advanced technologies for safer roads. Suranaree Journal of Science and Technology, 31(4), 010320, 1โ14. https://doi.org/10.55766/sujst-2024-04-e03837
Sharma, S. N., Singh, S., Kumar, G., Pandey, A. K., & Dehalwar, K. (2025). Role of green buildings in creating sustainable neighbourhoods. IOP Conference Series: Earth and Environmental Science, 1519(1), 012018.
Sharma, S. N., Dehalwar, K., Kumar, G., Yadav, K., & Verma, D. (2026). Utilization of advanced materials for permeable paving, biocrete, and piezoelectric materials in walkways to transit stations. In Engineering sustainability goals: UNSDG 12 (p. 209).
United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. United Nations. ๎
United Nations Department of Economic and Social Affairs. (2023). Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable. United Nations. ๎
UN-Habitat. (2024a). World Cities Report 2024: Cities and climate action. United Nations Human Settlements Programme. ๎
UN-Habitat. (2024b). Urban content of NDCs: Local climate action explored through in-depth country analyses. United Nations Human Settlements Programme. ๎
UN-Habitat. (2024c). World Smart Cities Outlook 2024. United Nations Human Settlements Programme. ๎
UN-Habitat. (2024d). World Cities Report 2024: Financing interventions for climate change in cities. United Nations Human Settlements Programme. ๎
World Bank. (2025a). Towards resilient and prosperous cities in India. World Bank. ๎
World Bank. (2025b). India has a critical opportunity to drive resilient urban development. World Bank. ๎
Yadav, K., Dehalwar, K., & Sharma, S. N. (2025a). Assessing the factors affecting first and last mile accessibility in transit-oriented development: A literature review. GeoJournal, 90, 298. https://doi.org/10.1007/s10708-025-11546-8
Yadav, K., Dehalwar, K., Sharma, S. N., & Yadav, S. (2025b). Understanding user satisfaction in last-mile connectivity under transit-oriented development in Tier 2 Indian cities: A climate-sensitive perspective. IOP Conference Series: Earth and Environmental Science, 1579(1), 012006. https://doi.org/10.1088/1755-1315/1579/1/012006
Yadav, K., Dehalwar, K., & Sharma, S. N. (2025c). A user-centric machine learning framework for predicting multi-modal accessibility in transit-oriented development zones for sustainable urban construction in Tier-2 Indian cities. Asian Journal of Civil Engineering. https://doi.org/10.1007/s42107-025-01625-z
Yadav, K., Dehalwar, K., & Sharma, S. N. (2026). Exploring the environmental determinants of mode choice in first and last mile connectivity: Evidence from a systematic review. Innovative Infrastructure Solutions, 11(4), 204.
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