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Home > Technology > Making best use of resources with geospatial intelligence
Technology Sponsored content1 June 2026

Making best use of resources with geospatial intelligence

Gary Randle1 June 2026No Comments4 Mins Read
Sponsored content
Risk models range from geographical areas to individual addresses. Image credit: NEC Software Solutions

Fire and rescue services across the UK face rising demand, constrained budgets, and increasingly complex statutory obligations. From rapid response through to community protection, inspections and long‑term risk planning, services are being asked to deliver more with less while also meeting standards set by His Majesty’s Inspectorate of Constabulary and Fire & Rescue Services (HMICFRS).

Against this backdrop, fire services are adopting independent, evidence‑based risk and workload modelling. Once seen as a specialist analytical tool, modelling is now central to strategy, giving leaders an objective, geographically grounded view of changing risk and where resources will have the greatest positive impact.

A landscape of rising complexity

Demand has shifted. Traditional fires have declined, while extreme weather and complex rescue operations have increased. The public still needs a fast, reliable response, no matter how stretched services have become.

Inspection findings and local authority finances add pressure, increasing the need for defensible decisions that withstand scrutiny. Data‑driven planning and advanced spatial analysis are moving from ‘nice to have’ to essential.

Why location matters

Location influences outcomes. Travel times, risk distribution, demographics, property types, and emerging vulnerabilities are spatial factors that shape demand and performance.

Combining spatial data with incident logs and demographic indicators on a map is helping fire services understand risk at both macro and micro levels.

The latest GIS applications support every stage of the incident lifecycle:

  • In control rooms: live road speeds, appliance availability, and turnout data support faster mobilisation.
  • On the incident ground: crews use mobile mapping, operational data, and risk layers to support decisions.
  • After the incident: analysts identify hotspots, demand shifts, and emerging patterns over time.

This blend of operational insight and analysis is one reason services are increasingly investing in detailed geospatial analysis.

Modelling the impact of station locations by time of day. Image credit: NEC Software Solutions

Spatial Analysis as a service

NEC Software Solutions (NECSWS) supports fire services with tailored risk modelling using service data and Ordnance Survey mapping. Demand is growing for geographically detailed assessments, from community risk profiles to modelling that shows where interventions will deliver the greatest benefit.

Services typically use these models to:

  • Support strategic planning: review station locations, resource allocation, and boundaries.
  • Test resilience and standards: model degradation scenarios and compare attendance times to local response expectations.
  • Target prevention and protection: focus inspections and community work on the highest‑risk areas.

Many services model in‑house but more use the NECSWS consultancy service when capacity is limited or independent validation is needed. External, auditable modelling strengthens decisions that may face stakeholder or community challenge, especially when considering changes to stations, crewing, or deployment.

Cover, command and workload changes

Operational cover modelling is delivering immediate value. Services can test how changes to appliances, station configuration or staffing affect coverage and identify where resilience is strongest or most vulnerable.

As workloads grow more complex, services use scenario modelling to assess the impact of new duty systems, shift patterns, and relocations before implementation.

Other common applications of location intelligence include:

  • Incident command support: mobile mapping and integrated risk layers improve situational awareness.
  • Evaluating response standards: assess performance using real travel and operational data.
  • Community risk assessment: build holistic profiles using vulnerability, deprivation, and property characteristics.
  • Targeting and prioritisation: focus Safe and Well visits, audits, and campaigns where they will have most impact.
  • On‑call recruitment: understand workforce potential around on‑call stations using demographics and road speeds.
  • Post‑change evaluation: test whether expected improvements have materialised after change.

Location intelligence‑led modelling is now central to fire service decision‑making. With scrutiny from HMICFRS, local leaders and communities, independent, auditable analysis gives fire services the evidence they need as risk changes. Using external providers for modelling and assurance helps services plan with greater certainty.

NECSWS offers a range of consultancy work packages to support fire services. For more information, click here.


To read similar articles, check out our Technology channel.

Fire Geospatial intelligence HMICFRS NEC Software Solutions Ordnance Survey Technology
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Gary Randle

Gary Randle

Gary Randle is Head of Product – Geospatial Solutions at NEC Software Solutions

All articles by Gary >

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