Is Sevilla a 15-Minute City?
An independent 250-metre spatial analysis evaluating neighbourhood access to daily services, public transit and walkable streets across Sevilla.
The Sevilla 250-Metre Score Map
BarrioRadar evaluated 1,288 discrete 250 m × 250 m grid cells across Sevilla (80.5 km² nominal area across evaluated grid cells). Every cell is scored on a calibrated 0–100 scale based on spatial proximity to groceries, healthcare, education, transit services, and leisure amenities.
One City, Very Different Neighbourhoods
Evaluating Sevilla across uniform 250m cells illustrates the spatial contrast between higher-scoring central cells and lower-scoring outer cells across the evaluated municipal area.
Master Score Distribution (10-Point Intervals)
Sample: 1,288 CellsSevilla's score distribution highlights a clear divergence between municipal land footprint and address concentration:
- Higher-Scoring Central Cells: 65 cells (5.0% of evaluated cells) achieve Grade A or A+ (score ≥ 80), containing 15,361 address portals (13.2% of municipal portals), concentrated in postal codes 41001, 41002, 41003, 41004, and 41010. When expanded to Grade B+ and above (≥ 65), 277 cells (21.5% of evaluated cells) encompass 54,277 address portals (46.5% of all address portals).
- Lower-Scoring Outer Cells: 695 cells (54.0% of evaluated cells) fall into Grade D (scores 5–44), holding 30,534 address portals (26.1% of municipal portals). In these outer sectors, portal density averages 43.9 portals per cell, with greater measured spatial distances to daily amenities and transit platforms across the municipality.
Empirical Infrastructure & Livability Benchmark Table
| Evaluated Spatial Metric | Empirical Value | Coverage / Context | Data Source |
|---|---|---|---|
| Evaluated 250m × 250m Grid Cells | 1,288 cells | 80.5 km² nominal grid area across municipality | analytics.location_grid |
| Address Portals Represented | 116,807 portals | Average 90.7 portals per cell across evaluated envelope | IGN CartoCiudad |
| Weekday Scheduled Stop Departures | 143,435 departures | 8,975 scheduled vehicle trips on representative weekday | MITMA NAP GTFS |
| Active Public Transit Platforms | 1,199 platforms | 174 bus routes, 1 tram line, 1 subway line | MITMA NAP GTFS |
| Peak Hour Transit Volume | 2,799 departures | 08:00–08:59 peak (2,714 bus, 85 rail/tram) | MITMA NAP GTFS |
| Total Mapped Street & Pathway Network | 2529.4 km | 24,434 individual mapped network segments | OpenStreetMap |
| Dedicated Pedestrian Footways | 476.1 km | 18.8% of total mapped street network | OpenStreetMap |
| Total Cycling-Accessible Infrastructure | 330.5 km | Including 185.7 km segregated cycle tracks (7.3%) | OpenStreetMap |
| Mapped Building Footprints | 57,035 buildings | 21,240 with explicit level tags (37.2% coverage) | OpenStreetMap |
| Average Building Height | 3.63 floors | Median 3.0 floors across tagged building stock | OpenStreetMap |
| Dominant Building Level Band | 3–5 floors (10,595) | 49.9% of recorded building level data (mid-rise band) | OpenStreetMap |
| Address-Weighted BarrioRadar Score | 58.3 / 100 (Grade C) | Rank #8 out of 100 evaluated Spanish cities | analytics.mv_spain_top100_ranking |
| Geographic Grid Mean | 40.4 / 100 | Unweighted territorial average across 1,288 cells | analytics.mv_municipality_summary |
| Geographic Grid Median | 41.0 / 100 | Unweighted territorial 50th percentile across 1,288 cells | analytics.mv_municipality_summary |
| Grade A Master Score Cells (Score ≥ 80) | 65 cells (5.0%) | 15,361 portals (13.2%); CP 41001, 41002, 41003, 41004, 41010 | analytics.location_grid |
| Address Portals in Grade B+ or Higher (≥ 65) | 54,277 portals (46.5%) | Concentrated across 277 grid cells (21.5% of cells) | analytics.location_grid |
What Sevilla Has Around You
OpenStreetMap records thousands of commercial amenities and civic facilities across Sevilla's evaluated area. Commercial venues and community services are analyzed directly from verified geometry layers.
Top Mapped Everyday Amenities by Category
Mapped Sports Infrastructure
OSM Pitch & Court Features by Tagged Sport* OpenStreetMap may map individual pitches or courts separately within a larger sports complex, so these counts represent mapped features rather than unique sports facilities.
* Data source: OpenStreetMap (Andalucía regional extract, August 2026). Values reflect mapped features and do not constitute an exhaustive municipal commercial tax register.
How Sevilla Moves
Analysis of official General Transit Feed Specification (GTFS) schedules on a representative weekday (Wednesday, 19 August 2026), capturing scheduled departure volumes across Sevilla's transit network.
Scheduled Stop Departures by Hour of Day
Sevilla's public transit network operates with a total volume of 143,435 scheduled stop departures on a typical weekday, distributed across 1,199 active platform boarding points and 8,975 unique vehicle trips:
- TUSSAM Urban Buses: Account for 141,905 scheduled stop departures across 174 GTFS route variants on the representative weekday.
- MetroCentro Tram & Metro: MetroCentro tram provides 1,500 tram departures across 1 line, complemented by Metro de Sevilla Line 1 providing scheduled subway boarding departures.
- Peak Hour Transit Volume: The morning peak hour (08:00–08:59) concentrates 2,799 scheduled departures (2,714 bus departures and 85 rail/tram departures).
- Intermodal Rail Hub: Estación de Sevilla-Santa Justa and San Bernardo function as major multi-modal transit platform clusters connecting municipal urban transit with Cercanías commuter rail and high-speed rail lines.
The Streets Beneath the Scores
Geodesic length calculation across mapped street, path, and cycleway segments within Sevilla's evaluated cells.
Mapped Road and Pathway Composition
Geodesic Distance (km)How Sevilla Builds Up
Analysis of mapped building levels across Sevilla's built environment, illustrating the distribution of low, mid-rise, and high-density structures.
Building Levels Distribution
Sample: 21,240 buildings with explicit level tags (37.2% coverage)Among buildings with explicit level tags in OpenStreetMap (37.2% coverage), mid-rise structures represent the single largest vertical category: buildings with 3–5 floors (10,595 structures, 49.9%) form the dominant band across urban neighbourhoods. Low-rise structures comprise 1 floor (3,849 buildings, 18.1%) and 2 floors (3,620 structures, 17.0%) totaling 7,469 buildings (35.2%), while 6–10 floor apartment blocks (2,877 structures, 13.5%) and 11+ floor towers (299 structures, 1.4%) concentrate along major arterial avenues.
Where Sevilla Scores Highest — and Lowest
Factual extremes identified from the evaluated 250m grid cells. Descriptions identify representative street addresses and postal codes directly from official CartoCiudad records.
Frequently Asked Questions: Sevilla Urban Livability & Transit
Direct empirical answers to common spatial questions regarding spatial accessibility, public transit operations, street network composition, and vertical urban density across Sevilla.
How does Sevilla score for everyday accessibility?
Across Sevilla's evaluated grid cells (80.5 km² nominal area), 46.5% of all address portals (54,277 of 116,807 portals) are concentrated in the 277 cells achieving Grade B+ or higher (composite Master Scores 65–90). Grade A and A+ cells (65 cells, 5.0%) contain 15,361 address portals (13.2%) and are concentrated in central postal codes (41001, 41002, 41003, 41004, 41008, 41010), where higher portal density coincides with shorter measured spatial distances to mapped commercial amenities, dedicated pedestrian footways, and transit platforms.
Why is the geographic median score in Sevilla 41.0 out of 100?
Sevilla's geographic median score is 41.0 across all 1,288 evaluated 250m cells. Over half of the evaluated cells (695 cells, 54.0%) fall into Grade D (scores 5–44), primarily in peripheral and low-density outer sectors where portal density averages 43.9 address portals per cell and measured distances to daily services and transit platforms are longer.
How does Sevilla's public transit network operate on a typical weekday?
On a representative weekday (19 August 2026), official GTFS transit schedules deliver 143,435 scheduled stop departures across 1,199 active platform boarding points and 8,975 unique vehicle trips. TUSSAM bus lines account for 141,905 scheduled departures across 174 GTFS route variants, complemented by MetroCentro tram providing 1,500 departures across 1 route and Metro de Sevilla Line 1 providing scheduled subway departures, peaking during the 08:00–08:59 hour with 2,799 departures (2,714 bus, 85 rail/tram).
What is the extent of cycling and pedestrian infrastructure in Sevilla?
OpenStreetMap records 2529.4 km of total mapped ways across Sevilla's evaluated municipal area. Dedicated pedestrian footways comprise 476.1 km (18.8% of the network), complemented by 174.6 km of pedestrian streets (6.9%), 63.4 km of living streets (2.5%), and mapped steps. The mapped network includes 330.5 km of cycling-accessible infrastructure, with 185.7 km (7.3%) classified as dedicated segregated cycle tracks.
What is the typical building height and vertical urban density in Sevilla?
Among the 21,240 mapped buildings with explicit level tags in OpenStreetMap (37.2% coverage), the average height is 3.63 floors (median 3.0 floors). Mid-rise buildings with 3–5 floors form the predominant category with 10,595 structures (49.9% of tagged buildings). Low-rise structures comprise 1-floor (3,849 buildings, 18.1%) and 2-floor buildings (3,620 structures, 17.0%) totaling 7,469 buildings (35.2%), while 6–10 floors account for 2,877 structures (13.5%) and 11+ floors account for 299 structures (1.4%).
Built from trusted public and open data
Every score, grid boundary, and timetable metric is derived deterministically from official public registers and OpenStreetMap processed in PostGIS.
Data Provenance & Reproduction
1. Official Cadastral Addresses • IGN CartoCiudad
Address portals and spatial centroids are derived from the Spanish National Address Directory (CartoCiudad) published by the Instituto Geográfico Nacional (IGN) and Centro Nacional de Información Geográfica (CNIG). Bounded strictly to municipality code INE 41091 (Province 41: Sevilla).
2. Public Transit Operations • National Access Point (NAP) GTFS
Public transit departures, stop locations, and route variants are computed from official General Transit Feed Specification (GTFS) feeds published via the Punto de Acceso Nacional (NAP), Transportes Urbanos de Sevilla (TUSSAM), MetroCentro, and Metro de Sevilla. Evaluates multimodal operations on the standard representative weekday 19 August 2026.
3. Physical Amenities, Roads, and Buildings • OpenStreetMap
Amenities, street network segments, and building footprints are ingested from OpenStreetMap (Andalucía regional extract, osm_andalucia, ingested August 2026). Data is published under the Open Data Commons Open Database License (ODbL) © OpenStreetMap contributors.
4. BarrioRadar 15-Minute Life Score Model
Scores are calculated across uniform 250m × 250m grid cells using continuous diminishing-returns curves (v1.1 scoring engine). Each grid cell is scored at its representative IGN CartoCiudad address portal located nearest the cell centroid. Evaluates spatial proximity to groceries (30%), essential services (30%), multimodal transit (25%), and social/leisure spaces (15%).
5. Research Scope & Methodological Limitations
This spatial analysis is subject to standard geographic research constraints: (1) OpenStreetMap amenity and street coverage depends on community-mapped tags; (2) Building-level height analysis only evaluates structures with explicit building level tags (37.2% coverage); (3) GTFS transit schedules reflect published timetables on the representative evaluation date and do not capture real-time vehicle dispatch; (4) Grid cells represent nominal 250m × 250m spatial units; (5) CartoCiudad address portals reflect postal registration density rather than direct residential census counts; and (6) A 250m cell score characterizes general spatial access within that cell rather than a guarantee for every individual doorway.
How to Cite This Research
If referencing this dataset or spatial analysis in research, journalistic reporting, or urban planning studies, please cite as:
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