Understanding the demographic composition of a specific area is critical for strategic planning across sectors. With the Miranda tool, developed by the Centre for Tourism and Leisure Research (CETLER), users can estimate population counts by five-year age groups using official data from Statistics Sweden. This functionality is available for any point in Sweden, whether defined by walking, biking, or driving distance, or even a custom‑selected area.
Example Application: 15‑Minute Biking Catchment from Stockholm Central Station
The video below demonstrates how quickly and easily the Miranda tool calculates the population living within a 15‑minute bike ride of Stockholm Central Station, broken down by five age classes.
Strategic Benefits of Age‑Segmented Catchment Analysis
Knowing the number of residents by age group within a given travel time (e.g., 15–30 minutes by bike or on foot) offers actionable insights for:
- Targeted Urban Planning
- Design age‑appropriate infrastructure (playgrounds, senior‑friendly walkways, bike lanes for commuters).
- Place schools, daycare centres, or retirement communities based on local demographics.
- Public Health Optimization
- Develop tailored health initiatives (youth sports, senior walking clubs) and locate gyms or clinics strategically.
- Promote active lifestyles by ensuring safe, age‑suitable routes to parks and recreation areas.
- Transportation Efficiency
- Prioritise bike lane or pedestrian path expansions for high‑traffic age groups (e.g., commuters aged 20–40).
- Improve access to transit hubs for non‑drivers (teens, elderly), reducing car dependency.
- Emergency Preparedness
- Place emergency services near vulnerable populations (hospitals close to elderly residents, fire stations near schools).
- Create age‑sensitive evacuation plans (e.g., routes for mobility‑limited seniors).
- Economic Development
- Drive demand‑based commercial zoning (cafés near young adults, pharmacies near seniors).
- Attract businesses by highlighting demographic spending patterns in accessible areas.
- Environmental Sustainability
- Reduce carbon footprints by optimising walk/bike networks for the largest age cohorts, lowering vehicle use.
- Disaster Resilience
- Ensure evacuation routes and shelters accommodate age‑specific needs (stroller/wheelchair access).
- Policy & Funding Allocation
- Provide data‑driven evidence for prioritising projects (senior housing grants, school funding) based on local needs.
By segmenting populations into five‑year age groups and mapping their proximity to services, planners and policymakers can build more liveable, efficient, and equitable communities tailored to the needs of all residents.