Integrating municipal solid waste management in urban resilience programmes

Municipal solid waste management as an urban subsystem

The concept of urban resilience has evolved from a narrow engineering definition of “bouncing back” to a sophisticated, multi-dimensional framework that encompasses the ability of a city to survive, adapt, and grow amidst the chronic stresses and acute shocks of the twenty-first century. At the core of this evolution lies the recognition that cities are complex adaptive systems, where the failure of one subsystem can precipitate a cascade of vulnerabilities across the entire urban fabric. Municipal Solid Waste (MSW) management is one of these subsystems. Its connections to other urban subsystems — drainage, public health, livelihoods, land use, governance — create interactions that are simultaneously its greatest source of leverage and its most difficult management challenge.

The challenges related to MSW management span multiple dimensions.

• Public health as the foundation of resilience: Unmanaged waste is a direct disease vector — cholera, dengue, leptospirosis, respiratory illness from open burning. Cities that collect and safely dispose of waste reduce endemic health burdens, free up healthcare capacity, and lower vulnerability to epidemic cascades.
• Climate adaptation through drainage protection: Waste-clogged drains are a leading cause of urban flooding in cities across Sub-Saharan Africa and Southeast Asia. Reliable collection prevents blockages, reducing flood risk and the cascading damage to livelihoods, infrastructure, and displacement. Waste management is therefore a frontline climate adaptation tool, not merely an environmental service.
• Resource security via circular economy: Recovering materials — organics for compost, plastics for recycling, metals, glass — reduces dependence on virgin resource imports. This builds economic resilience at city scale: local employment in the informal and formal recovery sectors, reduced import bills, and supply chain diversification.
• Landfill life extension as infrastructure resilience: Every tonne diverted from landfill through composting, recycling, or valorisation extends landfill lifespan. In rapidly growing cities where new landfill siting is politically and technically difficult, this is a strategic infrastructure resilience gain — buying time and reducing the risk of catastrophic landfill saturation.
• Climate mitigation co-benefits: Landfill gas capture and organic waste diversion reduce methane emissions — a potent short-lived climate pollutant. This contributes to the city’s broader climate commitments and increasingly to access to climate finance: carbon credits, green bonds, and multilateral lending conditionalities.
• Social cohesion and governance legitimacy: A functional waste service is among the most visible indicators of state capacity in the eyes of urban residents. Where it fails, trust in local government erodes. Where it works — especially when it integrates informal waste workers rather than displacing them — it builds the social fabric and governance legitimacy that underpin collective resilience.
• Economic resilience of the urban poor: Informal waste pickers are often among the most economically marginal urban residents. Formalising and integrating them into waste recovery systems — as in Bogotá, Cairo, or Pune — converts a precarious survival strategy into a structured livelihood, reducing vulnerability at household and neighbourhood scale.

What makes integration so difficult

Municipal waste authorities and the operators who support them typically possess in-depth knowledge of their own domain: waste generation rates, collection logistics, treatment technologies, cost structures, regulatory compliance, and the political economy of tariff reform. This expertise is real and should not be underestimated. What it cannot provide, however, is visibility into the systems that surround the waste sector and determine whether any given intervention actually delivers urban resilience. This is not ignorance born of negligence. Being part of a system makes you structurally blind to its systemic interactions. Several factors compound this.

• Institutional fragmentation. Each connected system is governed by a different ministry, utility, or agency. MSW typically sits in a municipal department with the weakest budget and lowest status. No single actor holds the mandate, the authority, or the incentive to manage cross-system interactions. Inter-ministerial coordination is the exception, not the rule, and almost nowhere is it institutionalised for waste.
• Temporal mismatches. Waste collection operates on a daily and weekly rhythm. Composting markets shift seasonally. Land-use planning cycles run over years. Budget allocations follow political cycles of four to five years. Regulatory reform takes a decade. Infrastructure investment locks in pathways for twenty to thirty years. These different time horizons mean that actors who theoretically share an interest in better outcomes can never align on timing.
• Spatial mismatches. Waste catchments and drainage basins rarely align with administrative boundaries. The informal quarter that generates most of the uncollected waste may fall under a different jurisdiction than the landfill that receives it. The market for compost may be peri-urban, outside the municipality’s territory. Costs and benefits of good management therefore accrue in different places, creating free-rider dynamics that no actor has an incentive to resolve.
• Non-linear dynamics and feedback loops. Intervening in one system produces unexpected effects in others. Formalising collection can displace informal pickers (livelihoods disruption) while improving drain clearance (flooding reduction), while reducing open burning (air quality gain), while eliminating the informal compost supply that peri-urban farmers depended on (food system disruption). These effects are simultaneous and often invisible to the sector that initiated the intervention. Standard project design — sectoral, linear, with a defined scope — systematically misses them.
• Contested logics among actors. A technical engineer sees the waste stream as a material and energy resource to be optimised. A municipal finance officer sees a cost centre to be minimised. An informal picker sees a livelihood to be protected. A health official sees a disease risk to be eliminated. A climate officer sees a GHG source to be abated. These framings are not just different perspectives — they imply different interventions, different timelines, different metrics of success, and different winners and losers. No technical solution resolves the underlying conflict of logics; only deliberate multi-stakeholder processes can negotiate a workable arrangement among them.
• Data poverty and asymmetric information. Waste systems in most Global South cities operate without reliable data on waste quantities, composition, collection coverage, or cost structures. Even where data exist, they are held by different actors in incompatible formats. The absence of shared information across systems makes it nearly impossible to make the case for cross-sectoral investment — or to detect that a problem in one system is being caused by a failure in another.

The way forward: a diagnostic process for cross-system integration

The consequence for urban resilience programme design is serious. A waste authority — or a development agency relying primarily on sector expertise — will optimise for what it can see and control: collection coverage, treatment capacity, regulatory compliance, cost recovery. These are legitimate objectives. But urban resilience is not produced by optimising a single sector. It emerges from the interactions between sectors. The resilience dividend of improved waste management accrues in systems that the waste authority does not govern and cannot directly influence. Designing for that dividend requires understanding the context in which the waste system operates, not only the waste system itself. And that understanding cannot be assembled from inside any one institution, however expert.

Resolving this asymmetry requires a specific kind of diagnostic capacity — one that is neither technical audit nor policy review. It is a structured process of contextual inquiry, working from the waste system outward into the surrounding urban fabric. It can be usefully organised in five stages.

1. Mapping the knowledge boundary: The first step is to establish, with the waste authority or programme team, what is known and what is not. This means distinguishing between the domain the institution governs directly — collection logistics, treatment capacity, cost structures, regulatory compliance — and the systems that surround it and condition its performance. The goal is not to depreciate sector expertise but to define its limits: where does the institution’s field of vision end, and what lies beyond it?
2. Tracing the context: Once the boundary is mapped, the analysis turns outward. Each node of interaction — drainage, public health, livelihoods, land use, local governance — is examined for the direction, intensity, and conditionality of its relationship with the waste system. This is not a comprehensive urban audit; it is a targeted inquiry into the pathways through which waste management decisions propagate into other systems, and through which shocks originating elsewhere reach the waste sector. The causal chains that matter most are identified, not catalogued exhaustively.
3. Identifying leverage points: From this contextual map, it becomes possible to locate the intervention points where waste sector action produces disproportionate effect in surrounding systems — and, equally, where changes in surrounding systems could be used to advance waste sector objectives. These leverage points are where the resilience dividend is actually located. They are almost never visible from inside the waste authority alone.
4. Building a shared field of vision: The diagnostic findings must be translated into a common understanding held by the actors who will need to act on them: waste managers, urban planners, health officials, informal sector representatives, finance officers. This is not a communication exercise; it is a structured process of sense-making conducted across institutional boundaries, in which each actor brings their own framings and data to bear on the shared picture. The goal is not consensus — the contested logics described above do not dissolve — but a working understanding of the cross-system dynamics that any resilience programme will have to navigate.
5. Embedding adaptive capacity: The final stage is design: structuring the programme so that cross-system interactions are monitored, unexpected consequences are detected early, and the intervention logic can be adjusted as understanding deepens. This means building learning mechanisms into the programme architecture — not as a monitoring and evaluation appendage, but as a core operational function. In complex adaptive systems, no initial design survives intact; what matters is whether the programme can learn faster than the system evolves.

Crucially, this diagnostic must be conducted with the client team, not delivered to them. The goal is not to reinforce the sector knowledge the client already holds — it is to expand their field of vision into the surrounding context, and to do so in a way that builds the capacity to see that context independently over time. That shared understanding is the precondition for everything else: the multi-stakeholder coalition, the blended financing architecture, the adaptive programme design. Without it, the leverage exists but cannot be reached.

Reading lists

• UNDP, “Urban Risk Management and Resilience Strategy” 2021 (link)
• Urban Institute, “Urban Resilience: From Global Vision to Local Practice”, 2022 (link)
• Dr. Asha Mathew, “Integrated Waste Management Strategies For Sustainable Urban Development”, International Journal of Environmental Sciences 11(4):1383-1392 (link)