Climate change is reshaping the risk environment for utilities faster than most infrastructure planning cycles can keep up with. Flooding, extreme heat, prolonged drought, and severe storms are no longer rare edge cases; they are recurring operational realities that put pressure on water, gas, electricity, and telecommunications networks every year. For infrastructure managers, the question is no longer whether climate-related disruptions will happen, but where they will hit hardest and how to prepare. Routing analysis, powered by spatial analysis, gives you a structured way to answer both questions.

This article walks through the core questions utility professionals are asking about routing analysis and climate risk—from what it actually does to which data sources make it work. Each section gives you a direct, practical answer you can take back to your planning conversations.

What is routing analysis in the context of utility networks? #

Routing analysis in utility networks is a spatial technique that maps and evaluates the paths through which resources, signals, or services flow across an infrastructure network. It models how water, electricity, gas, or data travels from source to endpoint through pipes, cables, or conduits, and identifies how disruptions at any point affect the rest of the network.

Unlike simple asset mapping, routing analysis incorporates network topology, meaning it understands which assets are connected, in what sequence, and what the consequences are if a specific segment fails. It can calculate the shortest or most reliable path between two points, simulate flow under different conditions, and trace which customers or zones depend on a specific piece of infrastructure.

For utilities, this matters because infrastructure networks are rarely simple. A water distribution network serving a mid-sized city might include hundreds of pipe segments, pumping stations, valves, and storage facilities, all interdependent. Routing analysis makes that interdependency visible and queryable, so planners can ask precise questions: If this segment goes offline, which areas lose pressure? Which alternative routes exist? How much capacity do those alternatives carry?

How does routing analysis relate to GIS technology? #

Routing analysis sits at the heart of geographic information system (GIS) technology. It combines network topology with spatial relationships, allowing you to layer geographic context, such as terrain, flood zones, or soil type, on top of your network model. The result is an analysis that reflects not just how your network is connected, but where it runs and what environmental conditions it faces along the way.

How do climate-related risks affect utility infrastructure networks? #

Climate-related risks affect utility infrastructure by increasing the frequency and severity of conditions that damage physical assets, disrupt service delivery, and reduce network reliability. The main threats include flooding, extreme temperatures, drought, coastal erosion, and high winds, each of which interacts differently with water, energy, and telecommunications systems.

Flooding is among the most immediate threats. It can inundate substations, overwhelm drainage systems, and compromise underground cable and pipe infrastructure. For water utilities, heavy rainfall events can overload treatment facilities and contaminate supply networks. For electricity providers, flooding of transformer stations or switchgear can trigger widespread outages that cascade across interconnected grids.

Extreme heat creates a different set of problems. High temperatures increase demand on electricity networks at the same time as they reduce the capacity of overhead cables and transformers to carry load safely. For gas networks, ground movement caused by prolonged drought and soil shrinkage can stress buried pipelines, increasing the risk of joint failures. Telecommunications infrastructure faces heat-related equipment degradation and increased cooling demands in exchange facilities.

What makes climate risk particularly difficult to manage is that these events do not affect all parts of a network equally. Low-lying areas, aging infrastructure, and segments running through geologically unstable ground carry higher exposure. Without a spatial view of where those vulnerabilities cluster, it is very difficult to prioritize investment or prepare effective response plans.

How does routing analysis identify climate-vulnerable network segments? #

Routing analysis identifies climate-vulnerable network segments by overlaying your network topology with spatial datasets that describe environmental hazard zones. It traces each segment of your network through geographic space and flags where routes pass through areas with elevated flood risk, heat exposure, erosion potential, or other climate-related hazards.

The process works in several steps. First, your network data, including pipe locations, cable routes, valve positions, and connection points, is loaded into a spatial model. Second, environmental hazard layers are added, such as flood inundation maps, subsidence risk zones, or storm surge projections. Third, the routing engine evaluates each network segment against those hazard layers and scores or flags segments based on their exposure.

This approach gives you something a traditional asset register cannot: a ranked view of where your network is most exposed, tied directly to the network topology. You can see not just that a segment runs through a flood zone, but also how many customers depend on that segment, whether alternative routes exist, and what the service impact would be if it failed. That combination of exposure and consequence is what makes the analysis actionable for infrastructure planning.

Can routing analysis detect single points of failure under climate stress? #

Yes. One of the most useful outputs of routing analysis is the identification of single points of failure: segments or nodes where there is no alternative path and where failure would isolate a portion of the network. When you combine that topological knowledge with climate hazard data, you can identify segments that are both highly exposed and structurally critical, which is exactly where investment in resilience delivers the most value.

What types of climate risk scenarios can routing analysis model? #

Routing analysis can model a range of climate risk scenarios, including flood inundation events, prolonged drought, extreme heat episodes, storm damage, and sea-level rise. Each scenario is represented as a spatial layer that modifies the conditions under which the network operates, allowing planners to test how the network performs under different future states.

Flood scenarios are the most commonly modeled. You can import flood extent data for different return periods, such as a one-in-ten-year event versus a one-in-a-hundred-year event, and run routing analysis to determine which network segments fall within each inundation zone. This tells you both the probability-weighted risk and the worst-case exposure for your infrastructure.

Drought scenarios work differently. Instead of flooding assets, prolonged dry periods cause ground subsidence, particularly in clay-rich soils, which stresses buried pipelines and cable ducts. Routing analysis can incorporate soil type and subsidence risk maps to flag segments most likely to experience ground movement under extended dry conditions.

Storm and wind damage scenarios are relevant primarily for overhead electricity and telecommunications infrastructure. By combining wind hazard maps with the routing paths of overhead lines, you can identify which transmission corridors face the highest exposure during severe weather events and model the downstream service impact if those lines go down.

Sea-level rise scenarios are particularly relevant for utilities operating in coastal or low-lying areas. Routing analysis can project which network segments will fall within future inundation zones under different sea-level rise projections, supporting long-term infrastructure relocation or hardening decisions.

How does routing analysis support climate adaptation planning for utilities? #

Routing analysis supports climate adaptation planning by giving utilities a spatial evidence base for prioritizing investment, redesigning network topology, and preparing emergency response procedures. Rather than making adaptation decisions based on general risk assessments, you can base them on precise, network-specific analysis of where exposure is highest and where intervention has the greatest impact.

For investment prioritization, routing analysis helps you rank infrastructure upgrades by combining hazard exposure with consequence severity. A segment that runs through a high flood-risk zone and serves a large customer base with no alternative supply route is a higher priority than one with similar flood exposure but multiple bypass options. That ranking gives asset managers a defensible, data-driven basis for capital allocation decisions.

For network redesign, routing analysis can test alternative configurations before any physical work begins. You can model what happens if you add a new interconnection between two parts of the network, or if you reroute a critical segment away from a hazard zone. The analysis shows whether the redesign actually improves resilience or simply shifts the vulnerability elsewhere.

For emergency response planning, routing analysis supports the development of pre-calculated response procedures. If a specific segment fails due to flooding, the system can immediately identify which customers are affected, which alternative routes are available, and what the fastest path is for field crews to reach the affected location. This kind of pre-planned spatial intelligence significantly reduces response time during an actual event.

What geospatial data sources are needed for climate risk routing analysis? #

Effective climate risk routing analysis requires two categories of geospatial data: network data that describes your infrastructure, and environmental data that describes the hazards your infrastructure faces. Both need to be accurate, up to date, and spatially compatible to produce reliable results.

Network data requirements #

Your network data should include the precise geographic location of all assets, including pipes, cables, conduits, valves, pumping stations, substations, and connection points. It should also capture the topology of the network, meaning which assets connect to which, the direction of flow, and the capacity or condition of each segment. Asset condition data is particularly valuable because it allows you to weight vulnerability not just by location but also by the physical state of the infrastructure.

Environmental and hazard data requirements #

On the environmental side, you need spatial datasets that represent the climate hazards relevant to your operating area. Useful sources include flood risk maps from national water authorities, soil type and subsidence risk maps from geological surveys, digital elevation models that show terrain and drainage patterns, and climate projection datasets that describe how hazard zones may shift over time. In the Netherlands, publicly available datasets from institutions such as Rijkswaterstaat and the KNMI provide a strong foundation for this kind of analysis.

Connecting these data sources into a coherent analytical model is where much of the technical work lies. Data often comes in different formats, coordinate systems, and update frequencies. Building integrated data layers that bring network and hazard data together, and keeping those layers current as both your infrastructure and the climate projections evolve, is a core part of making routing analysis operationally useful rather than a one-time exercise.

At Spatial Eye, we help utilities and infrastructure organizations build exactly this kind of integrated spatial intelligence. Our spatial analysis capabilities combine network topology, environmental data, and business intelligence reporting into solutions that support both day-to-day operations and long-term climate adaptation planning. If you want to explore how routing analysis can strengthen your organization’s approach to climate risk, we would be glad to show you what that looks like in practice.