Projects
Spatial analysis
Pedestrian casualties on London’s roads
An open, reproducible analysis of every police-recorded pedestrian casualty in Greater London from 2021 to 2025: network kernel density hotspots, Getis-Ord Gi* clusters, a negative binomial model of the built environment, and drive times to major trauma centres. Includes a spotlight to explore any place and a year-by-year playback.
Pedestrian collisions in Athens
Spatial-temporal analysis of 1,318 pedestrian collisions in the Municipality of Athens (2008–2017): hotspots, space-time cube, network analysis and Geographically Weighted Regression of the built environment, with an emergency services dashboard.
Article in preparation
Planning and geospatial tools
Article 4 and constraints checker, Kingston
A Local Land Charges aid for the Royal Borough of Kingston upon Thames. Check a single property by address, postcode or grid reference, or upload a CSV to check hundreds at once. Each location is sent to the government’s Planning Data service and checked for Article 4 directions, conservation areas, listed buildings, tree preservation, green belt, flood zones and SSSIs. Nearby features and boundaries within a chosen tolerance (10, 25 or 50 m) are flagged as borderline, and Article 4 results are cross-checked against Kingston’s own boundaries, with an offline fallback if the service is down.
Interactive calculators
Small, research-based calculators that turn evidence into something you can try for yourself. They all live together at Reality Checks.
Reality Checks
A home for all my calculators: quick, honest reality checks on everyday habits and money, each based on published evidence and clear about what it can and can’t tell you.
What’s your lifestyle costing you?
How everyday habits (alcohol, smoking, activity, sitting, sleep, BMI and diet) relate to life expectancy, based on seven peer-reviewed studies and ONS life tables for England and Wales. Population averages, not a personal prediction.
What’s your coffee habit really costing you?
Your yearly spend on coffee, tea and other drinks, and what that money could grow to if invested instead, with a “cut it by half” scenario.
Coming next
Asking the data in plain English
An AI layer for the London project: questions answered by tested spatial queries rather than guesses, with the sources behind every number.