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.

01 · What it is

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.

High-resolution Peer-reviewed People-informed
02 · What it's used for

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.

03 · How it works

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.

04 · Built around you

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.

05 · Beyond walkability

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:

Disease spread & outbreak hubs Public health resource planning Billboard & ad placement Retail & business site selection Traffic & transportation flow Emergency & evacuation planning Supply chain & logistics hubs Environmental monitoring Telecom & infrastructure planning Social network influence analysis
06 · Who it's for

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.

07 · Coming soon

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 soon

Developer API

Programmatic access to walkability scores for your own tools.

Coming soon

City comparison tool

Compare walkability across neighborhoods and cities side by side.

Coming soon

User dashboard

A personal home for saved locations, scores, and preferences.

Coming soon
08 · Published research

Grounded in peer-reviewed work.

ALF-Score — A novel approach to build a predictive network-based walkability scoring system

Alfosool, Chen, Fuller · PLOS ONE, Vol. 17(6), e0270098 · 2022

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ALF-Score+ — Personalization of a Predictive Network-Based Walkability Scoring System

Alfosool, Chen, Fuller · OSF Preprint · 2021

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ALF-Score++ — Transferring knowledge to predict walkability across cities

Alfosool, Chen, Fuller · Scientific Reports, Vol. 12, Article 14013 · 2022

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