Dr. Kavita Dehalwar
Introduction
Cities are increasingly becoming the principal arenas in which environmental, social, economic and technological transformations converge. Rapid urbanisation has created opportunities for economic development, improved access to services and innovation, but it has also intensified pressures on land, infrastructure, mobility, housing, water resources, ecosystems and public health. Climate change further compounds these pressures through heatwaves, flooding, water stress, extreme precipitation and other hazards. The challenge for contemporary urban planning is therefore no longer simply to accommodate population growth. It is to create cities that are environmentally sustainable, socially inclusive, economically productive and capable of adapting to changing conditions.
The United Nations Sustainable Development Goal 11 explicitly calls for cities and human settlements to become inclusive, safe, resilient and sustainable. Its targets include adequate housing, accessible and sustainable transport, participatory urban planning, reduced disaster impacts and improved environmental conditions (United Nations, 2024). At the same time, the IPCC identifies cities, settlements and infrastructure as interconnected systems in which climate risks interact with urbanisation, land-use change, poverty, infrastructure deficits and social vulnerability (Dodman et al., 2022).
For Indian cities, these challenges are particularly significant. Urban areas are expanding spatially while infrastructure and institutional capacities do not always expand at the same pace. Unplanned peripheral growth, automobile dependence, inadequate pedestrian infrastructure, environmental degradation and socio-spatial inequalities can undermine the benefits of urbanisation. A sustainable urban future therefore requires integrated planning rather than isolated interventions.
Recent research associated with Indian urban contexts provides important directions in this regard. Studies on urban growth prediction using Cellular Automata–Artificial Neural Network (CA–ANN) models demonstrate how spatial modelling can support planning decisions. Research on life-cycle assessment of recycled and secondary materials highlights the importance of considering environmental impacts throughout infrastructure development. Studies of green buildings, public-space accessibility, transit-oriented development and spatial inequality further demonstrate that sustainability must be addressed simultaneously at the building, neighbourhood, transport and metropolitan scales.
Urban Growth and the Need for Evidence-Based Planning
One of the most fundamental requirements of sustainable urban planning is the ability to understand and anticipate urban growth. Conventional planning approaches often rely on static land-use plans that may not adequately capture the nonlinear and spatially dynamic nature of urban expansion. Urban development is influenced by population growth, transportation infrastructure, land values, employment opportunities, accessibility and neighbourhood effects.
Kumar, Vyas, Sharma, and Dehalwar (2025) demonstrate the potential of a hybrid CA–ANN approach for predicting urban growth in Indore. The study combines the spatial dynamics of Cellular Automata with the computational capabilities of Artificial Neural Networks to identify patterns of urban expansion and potential growth hotspots. The study illustrates how geospatial data, land-use information, population characteristics and infrastructure development can be integrated to support forward-looking planning. The bibliographic record supplied for this work identifies its publication in GeoJournal, 90(3), with DOI 10.1007/s10708-025-11393-7.
Such approaches are valuable because urban planning increasingly requires scenario-based decision-making. Instead of asking only where development has occurred, planners need to examine where development is likely to occur, what infrastructure will be required and what environmental consequences may emerge. Spatial prediction can consequently support decisions concerning urban growth boundaries, infrastructure investment, transport corridors, green-space protection and service provision.
However, predictive technologies should not replace planning judgement. Models represent assumptions and depend upon the quality, scale and availability of input data. Their greatest value lies in supporting planners in comparing scenarios and identifying areas requiring further investigation.
Sustainable Infrastructure and Life-Cycle Thinking
Urban sustainability cannot be achieved without addressing the environmental footprint of infrastructure. Roads, buildings, drainage systems, utilities and transport infrastructure consume substantial quantities of materials and energy. Therefore, the sustainability of a city depends not only on how infrastructure functions after construction but also on how materials are extracted, manufactured, transported, used and eventually reused or disposed of.
Sharma, Lodhi, Dehalwar, and Jaiswal (2024) examined the life-cycle assessment of recycled and secondary materials in road construction. Their work highlights the relevance of life-cycle thinking for infrastructure decisions. Rather than assessing materials solely on initial cost or technical performance, planners can consider resource consumption, environmental impacts and potential benefits of recycling and secondary material use.
This approach is particularly relevant to rapidly urbanising cities, where infrastructure demand is increasing. Circular construction practices can reduce dependence on virgin resources and encourage the reuse of materials. Life-cycle assessment can also help municipalities and infrastructure agencies compare alternative construction strategies on a broader environmental basis.
Sustainable infrastructure should therefore be evaluated through multiple criteria: durability, embodied energy, carbon emissions, resource efficiency, maintenance requirements, recyclability, resilience and social benefits. This represents a shift from conventional infrastructure provision towards life-cycle-oriented infrastructure planning.
Green Buildings and Sustainable Neighbourhoods
Buildings constitute another major component of urban environmental performance. Yet the sustainability of individual buildings cannot be separated from the neighbourhood in which they are located. A highly energy-efficient building may still generate automobile dependence if it is isolated from public transport, walking networks and essential services.
Sharma, Singh, Kumar, Pandey, and Dehalwar (2025) examined the role of green buildings in creating sustainable neighbourhoods. Their research identifies green buildings as contributing not only to reduced environmental impacts but also to occupant well-being, water conservation, improved air quality and broader neighbourhood sustainability. The published study specifically examines the role of green buildings in Indian cities.
This perspective suggests that building sustainability should be integrated with urban design. Building orientation, passive climatic design, renewable energy, rainwater management, vegetation, shaded pedestrian networks and efficient waste systems can collectively improve neighbourhood performance.
The neighbourhood scale is particularly important because many environmental outcomes depend on the relationship between buildings. Tree cover, street geometry, building density, open spaces and mobility patterns influence urban heat, energy demand and pedestrian comfort. Green buildings should therefore be regarded as components of a wider urban ecological system rather than isolated technological objects.
Sustainable Mobility and Accessibility
Transportation is one of the most visible dimensions of urban sustainability. Mobility provides access to employment, education, healthcare, recreation and social opportunities. However, transport systems can also produce congestion, air pollution, greenhouse-gas emissions, road injuries and social exclusion.
Sustainable mobility requires a transition from a narrow emphasis on vehicle movement towards accessibility and human movement. The objective should be to ensure that people can reach essential destinations safely, affordably and conveniently.
Research on bus-user satisfaction in Bhopal demonstrates the importance of understanding the user experience in public transport. Lodhi, Jaiswal, and Sharma (2024) applied discrete choice modelling to assess bus users’ satisfaction, providing an example of how user preferences can inform public-transport planning.
Accessibility is equally important at the pedestrian level. Lalramsangi, Garg, and Sharma (2025) examined route choices for accessing public open spaces in hill cities and showed how topography and spatial configuration influence pedestrian movement. Their work demonstrates the usefulness of space syntax for understanding pedestrian accessibility and route choices in complex urban environments. A related 2026 study further investigates vertical pedestrian movement and the role of steps as connectors in Aizawl, demonstrating that pedestrian infrastructure needs to respond to local topography rather than follow uniform design assumptions.
These findings have broader implications. Sustainable mobility is not simply about introducing electric vehicles. It also involves walking, cycling, public transport, first- and last-mile connectivity, safe street design and accessible public spaces. A city can reduce transport-related environmental impacts more effectively when land-use planning and transport planning are integrated.
The United Nations’ SDG 11.2 specifically calls for safe, affordable, accessible and sustainable transport systems, with particular attention to vulnerable groups, women, children, persons with disabilities and older persons. Thus, accessibility should be treated as both a transport and social-equity issue.
Public Space, Social Inclusion and Spatial Justice
Sustainability has an important social dimension. A city cannot be considered sustainable if environmental improvements are accompanied by exclusion, displacement or unequal access to infrastructure.
Dehalwar and Sharma (2024), in their analysis of social injustice associated with spatial changes in vernacular settings, draw attention to the social consequences of spatial transformation. The work reinforces the importance of considering how changes in the built environment affect communities, identities and patterns of social interaction.
Urban planning decisions frequently redistribute opportunities. New roads, redevelopment projects, transit investments, commercial centres and environmental improvements may increase land values and accessibility in some areas while creating pressures for lower-income communities in others. Consequently, sustainability interventions should include social-impact assessment alongside environmental assessment.
Public spaces provide an important mechanism for strengthening social inclusion. Parks, plazas, streets and community spaces can support recreation, social interaction, health and community identity. Yet their benefits depend upon accessibility. Research on hill cities demonstrates that physical configuration can influence people’s ability to reach public open spaces. Sustainable public-space planning should therefore consider walking distance, route directness, topography, safety, universal accessibility and perceived comfort.
A people-centred approach is also central to contemporary climate-resilient planning. UN-Habitat’s World Cities Report 2024 argues that vulnerable groups need to be placed at the centre of urban climate action and that climate interventions should avoid reinforcing existing inequalities.
Nature-Based Solutions and Climate Resilience
Climate-resilient cities require infrastructure that can manage both gradual environmental change and sudden shocks. Traditional engineered infrastructure remains important, but it can be complemented by nature-based solutions such as urban forests, wetlands, bioswales, permeable surfaces, restored watercourses, green roofs and rain gardens.
Nature-based solutions can provide multiple benefits simultaneously. Vegetation can contribute to cooling and ecological connectivity; permeable surfaces can reduce runoff; wetlands can support water management; and green corridors can provide recreational and biodiversity benefits.
The IPCC emphasises that urban climate risks emerge from interactions between climate hazards and urban systems, including infrastructure, land use, poverty and human mobility. This suggests that resilience should not be approached through isolated infrastructure projects. Instead, risk-sensitive planning should connect drainage, land-use planning, transportation, housing, ecological systems and emergency management.
For Indian cities, this is particularly relevant because rapid construction can increase impervious surfaces and modify natural drainage patterns. Integrating blue-green infrastructure into development plans can help reduce runoff and heat while improving public-space quality.
Artificial Intelligence, Digital Twins and the Smart City
Digital technologies are transforming the way urban systems can be monitored, analysed and managed. Artificial intelligence, machine learning, geographic information systems, remote sensing and digital twins can provide planners with new capabilities for understanding complex urban systems.
The supplied research portfolio includes work on AI applications in solid waste management, machine learning for multimodal accessibility, urban growth prediction, digital twins for sustainable logistics and urban spatial digital twins. These studies collectively indicate a transition from static planning towards data-informed and increasingly dynamic urban management. The uploaded bibliography records research on AI applications in solid waste management and AI in social work for environmental sustainability, alongside studies on digital twins and mobility.
Digital twins are particularly promising because they can integrate spatial, infrastructural, environmental and mobility data into a common digital representation of an urban area. When combined with real-time information, they can support scenario testing—for example, examining how a new transit corridor may affect accessibility, land use or traffic conditions.
Nevertheless, technological sophistication should not be confused with sustainability. Smart-city systems can reproduce existing inequalities when data coverage is uneven or when communities have limited digital access. UN-Habitat’s World Smart Cities Outlook 2024 consequently places people-centred smart-city development, digital inclusion, accessibility and quality of life alongside technological innovation.
An Integrated Framework for Indian Cities
The evidence suggests that sustainable urban development requires integration across five dimensions.
First, spatial planning should anticipate urban growth through GIS, remote sensing and predictive models while protecting environmentally sensitive areas.
Second, sustainable mobility should integrate public transport, walking, cycling and first- and last-mile connectivity with land-use planning.
Third, green infrastructure and buildings should be planned at building, neighbourhood and metropolitan scales to improve environmental performance and resilience.
Fourth, social inclusion should be embedded in infrastructure and redevelopment decisions through participatory planning and accessibility assessment.
Fifth, digital technologies should be used to improve evidence-based decision-making while maintaining transparency, privacy, accessibility and human oversight.
These dimensions should not operate independently. For example, a new transit corridor can influence land-use change; land-use change can influence travel behaviour; travel behaviour affects emissions; emissions influence climate conditions; and climate risks affect infrastructure and vulnerable communities. Urban planning therefore needs to recognise cities as interconnected systems.
Conclusion
The sustainable city of the future cannot be created through a single technology, policy or infrastructure project. It requires an integrated planning philosophy in which environmental performance, accessibility, social justice, climate resilience and technological innovation reinforce one another.
Research on CA–ANN modelling demonstrates how urban growth can be anticipated spatially. Life-cycle assessment provides a framework for improving infrastructure material decisions. Green-building research demonstrates the importance of neighbourhood-scale sustainability. Studies of public-space accessibility and public transport highlight the human dimension of mobility. Research on spatial injustice reminds planners that physical transformation can have unequal social consequences. Finally, AI and digital twins provide emerging tools for understanding and managing complex urban systems.
The central principle should therefore be people-centred, evidence-based and context-sensitive planning. Urban technologies should support—not replace—professional judgement, community knowledge and democratic planning processes. Climate action should similarly improve everyday urban life rather than being treated as a separate environmental agenda.
UN-Habitat’s recent assessment emphasises that cities have a major role in climate action but that solutions must be adapted to local conditions and vulnerabilities. For India, this means combining advanced analytical tools with local knowledge, ecological understanding and inclusive planning practices.
Sustainable urban development ultimately depends on the ability to connect the physical city with the social city and the ecological city. When land-use planning, transport, buildings, public spaces, infrastructure, nature and digital technologies are considered as interconnected systems, cities can become not only more efficient but also more resilient, accessible and equitable. The future of urban planning should therefore be understood not as the pursuit of a technologically perfect city, but as the continuous creation of healthier, more inclusive and climate-resilient places for people.
References
Dehalwar, K., & Sharma, S. N. (2024). Social injustice inflicted by spatial changes in vernacular settings: An analysis of published literature. ISVS e-journal, 11(9), 93–113.
Dodman, D., Hayward, B., Pelling, M., Castán Broto, V., Chow, W., Chu, E., Dawson, R., Khirfan, L., McPhearson, T., Prakash, A., Zheng, Y., & Ziervogel, G. (2022). Cities, settlements and key infrastructure. In Climate change 2022: Impacts, adaptation and vulnerability (pp. 907–1040). Cambridge University Press. doi:10.1017/9781009325844.008
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. doi:10.1007/s10708-025-11393-7
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), 283–299. doi:10.1177/09754253251388721
Lodhi, A. S., Jaiswal, A., & Sharma, S. N. (2024). Assessing bus users’ satisfaction using discrete choice models: A case of Bhopal. Innovative Infrastructure Solutions, 9, 437. doi:10.1007/s41062-024-01652-w
Sharma, S. N., Dehalwar, K., & Pandey, A. K. (2026). Measures to manage the urban water quality for public health. In Environmentalism in healthcare (pp. 339–371).
Sharma, S. N., Dehalwar, K., & Yadav, K. (2026). Advancing travel behaviour modelling: A systematic literature review. Civil Engineering Infrastructures Journal, e108027.
Sharma, S. N., & Dehalwar, K. (2026). Urban spatial digital twin in sustainability spur economic growth in transit-oriented development-based development. In Tenable engineering for a sustainable future (pp. 257–300). Elsevier.
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, 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. doi:10.1088/1755-1315/1519/1/012018
United Nations. (2024). Sustainable Development Goal 11: Sustainable cities and communities. United Nations Department of Economic and Social Affairs.
UN-Habitat. (2024). World Cities Report 2024: Cities and climate action. United Nations Human Settlements Programme.
UN-Habitat. (2024). World Smart Cities Outlook 2024. United Nations Human Settlements Programme.
World Health Organization. (2021). WHO global air quality guidelines: Particulate matter (PM₂.₅ and PM₁₀), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Organization.
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, 204. doi:10.1007/s41062-026-02614-0If you could start a new business right now, what would it be?
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