Overview
With summer temperatures rising across Europe, this project explores a practical urban planning question: where should new public drinking water fountains be located? Using GOAT (Plan4Better), I combined open data on Munich's existing 116 public drinking water fountains with network-based walking catchments, population data, and 2025 satellite-derived land surface temperatures to identify where infrastructure gaps have the greatest impact on residents.
Key Numbers
- 116 existing public drinking water fountains in Munich (Landeshauptstadt München)
- 44 % of Munich's population within a 10-minute walking catchment of a fountain
- 299 priority zones identified for new infrastructure
- 172,465 residents in priority zones with combined heat exposure and accessibility gaps
Workflow
Follow the process. Expand a step for the details.
01Existing Fountain Network
Loaded the official dataset of 116 public drinking water fountains from Landeshauptstadt München as the baseline layer, providing a current picture of where infrastructure already exists across the city.
02Network-Based Walking Catchments
Generated 10-minute walking catchments for each fountain using GOAT's network-based accessibility analysis — revealing that only 44 % of Munich's population currently lives within walking reach of a public fountain.
03Heat Exposure Layer
Integrated 2025 land surface temperature (LST) data derived from satellite imagery to identify areas where outdoor heat exposure is highest, flagging zones where a fountain would have the greatest public health benefit.
04Priority Zone Identification
Combined population density, heat exposure (LST > 30 °C), and accessibility gaps to identify 299 priority zones — areas where new drinking water infrastructure would serve the most heat-exposed residents currently outside any walking catchment.
Tools & Technologies
- GOAT (Plan4Better) — network-based accessibility analysis, interactive dashboard
- Landeshauptstadt München open data — public drinking fountain locations
- Land Surface Temperature (LST) 2025 — satellite-derived heat exposure
- Population density data — for prioritisation of underserved zones
Outcome
Transformed raw open data into a planning tool that shows not just where fountains exist, but where they are missing the most — combining heat stress and population density to give city planners a clear, evidence-based picture of where new drinking water infrastructure would have the greatest impact on residents' quality of life during hot summers.