ALF-Score — A novel approach to build a predictive network-based walkability scoring system
Read paper →A research-backed walkability score
How walkable is your street, really?
ALF-Score measures walkability street by street, so communities, planners, and neighbors can see where it's easy to walk — and where it could be better.
A walkability score built around people.
ALF-Score (Active Living Feature Score) is a research-backed, network-based walkability measure. Instead of one blended number for an entire neighborhood, it looks at walkability point-by-point along the street — so you can see exactly where a place is walkable, and where it isn't.
Helpful for planners, researchers, and neighbors alike.
Urban planning & city livability
Compare and track walkability across neighborhoods and cities.
Real estate & site selection
Bring precise, street-level walkability into location decisions.
Public health & active living
Research how the built environment shapes active, healthy lives.
Personal neighborhood decisions
Know how walkable a street really is before you choose it.
Road networks and real opinions, brought together.
ALF-Score combines the structure of the road network with real people's opinions on walkability, then runs both through a machine learning pipeline trained to predict accurate, high-resolution scores.
Scores that adapt to you — and to places we haven't measured yet.
Personalized to you
Walkability means different things to different people — safety, shade, slope, or crowding can all matter more to one person than another. ALF-Score can reflect individual preferences and circumstances instead of forcing everyone into the same generic number.
Predicts the unknown
The same approach can estimate walkability for locations where detailed data is sparse or unavailable, by learning from places that do have rich data and transferring that knowledge forward.
The same approach, many possible applications.
ALF-Score's underlying approach — combining complex networks, graph theory, and machine learning — isn't limited to walkability. The same pipeline can be adapted to a wide range of network-based problems, such as:
Built for the people who plan, study, and live on our streets.
Public health researchers
Study how the built environment shapes active, healthy living.
City planners & urban developers
Compare and track walkability across neighborhoods and cities.
Realtors & real estate agents
Bring precise, street-level walkability into listings and site selection.
Individuals & residents
Know how walkable a street really is before you choose it.
People with limited mobility
Find routes and locations with easier, more accessible walking conditions.
Urban designers & architects
Ground design decisions in real, street-level walkability data.
Policy makers & agencies
Support planning and funding decisions with objective walkability measures.
Researchers & students
Build on a peer-reviewed, published foundation for new studies.
Web app & developer API, on the way.
Explore ALF-Score directly in your browser, or query it programmatically through a developer API built for integrating walkability into your own products.
Web app
An interactive way to explore ALF-Score for any location.
Coming soonDeveloper API
Programmatic access to walkability scores for your own tools.
Coming soonCity comparison tool
Compare walkability across neighborhoods and cities side by side.
Coming soonUser dashboard
A personal home for saved locations, scores, and preferences.
Coming soonGrounded in peer-reviewed work.
ALF-Score+ — Personalization of a Predictive Network-Based Walkability Scoring System
Read paper →ALF-Score++ — Transferring knowledge to predict walkability across cities
Read paper →Be first to know when access opens.
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