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AN ORIGINAL POLICY FRAMEWORK

A score. A diagnosis. A path to the right intervention.

No U.S. city has a single, unified metric for how equitably it supports movement across neighborhoods. The MOI is a composite scoring framework that changes that, translating fragmented public health, recreation, and equity data into one transparent, actionable number per neighborhood.

4

 Scoring dimensions 

3

Intervention tiers 

0-100

 Neighborhood score range 

Any city

 Designed to scale 

Proof-of-concept framework. The MOI is a fully developed policy and data framework currently in

Phase 1 — conceptual design and research-informed modeling. Neighborhood scores shown in the tools below are derived from publicly available data sources including DOHMH Community Health Profiles 2021, New Yorkers for Parks Open Space Profiles 2021, and NYC Parks Capital Tracker — not from direct agency data partnerships. They are designed to demonstrate scoring logic and decision-making methodology.

Phase 2 involves formal data partnerships with NYC agencies — Parks, DOHMH, DFTA, DOE, DYCD, and DOT — to

produce fully validated neighborhood scores standardized and normalized at the neighborhood tabulation area (NTA) level by a qualified data scientist or biostatistician.

WHAT IT IS 

A single score. A clear diagnosis. A targeted action.

The Movement Opportunity Index scores every neighborhood on a 0–100 scale by aggregating multiple dimensions of movement access, programming availability, resident participation, and population health risk. The score tells you urgency. The dimension breakdown tells you cause. The intervention tier tells you what to do.​

It was conceived in response to a specific problem in New York City: an extraordinary array of movement assets, parks, recreation centers, school gyms, NYCHA campuses, senior centers spread across at least seven agencies with no shared standards, no unified data, and no way to compare outcomes across neighborhoods.

01

Built on publicly available data

The MOI draws from datasets that NYC agencies already collect and publish. Parks, DOHMH, DFTA, DOE, DYCD, and DOT. No proprietary data infrastructure is required to operationalize this framework

03

Designed for decision-makers

The MOI does not just identify gaps, it classifies the type of problem driving each gap and matches it to a specific class of intervention. The output is always actionable.

02

Transparent scoring logic

Every score, tier assignment, and recommended action is derived from visible, explainable criteria. There is no algorithmic black box. Policymakers can see, audit, and defend every output.

04

City-agnostic and replicable

The dimensions, weighting methodology, and intervention logic are designed to be adapted for any metropolitan area with existing public health and recreation data infrastructure.

THE PROBLEM

NYC is not the exception. It is the example.

1 in 4

US adults meet both physical activity guidelines. NYC's most underserved

neighborhoods fall well below even that

1

8 in 10​​

NYC high schoolers don't

meet daily movement guidelines²

​​

​​​​​​​​​​

1 in 4​​

NYC seniors face mobility challenges³ 

​​

​​​​​​​​​​​​

$117B​​

Annual US cost of physical inactivity 4​​​​​​​​​​​​​​​​​​​​​​​

​​

A New Yorker's zip code determines their access to movement more than any personal choice. The MOI makes that gap visible, measurable, and actionable.

These outcomes are not evenly distributed. They are shaped by decades of fragmented planning, misaligned cross-agency investment, and siloed data systems that have never been unified into a single view. The city has the assets. What it lacks is the infrastructure to see them, measure them, and act on them together.

The MOI is designed to provide that infrastructure.

¹ CDC, Behavioral Risk Factor Surveillance System · ² NYC DOHMH Youth Risk Behavior Survey · ³ NYC DFTA FY2019 Annual Plan Summary · ⁴ Carlson et al. 2015, Progress in Cardiovascular Diseases

01

FIRST TOOL

MOI Neighborhood Dashboard

The dashboard provides a citywide view with every neighborhood scored, tiered, and tracked across

four dimensions using real publicly available data. Click any neighborhood card to expand the full dimension breakdown, data sources, constraint type, and intervention recommendation.

WHAT IT SHOWS

MOI score, intervention tier, quarterly trend, and dimension breakdown per neighborhood
 

INTENDED AUDIENCE

City leadership, elected officials, community advocates, and public health researchers
 

POLICY APPLICATION

Equity-based investment prioritization, transparent public accountability reporting
 

02

SECOND TOOL

MOI Action Matrix

The Action Matrix is a two-axis policy decision tool. The vertical axis represents intervention urgency determined by MOI score and trend. The horizontal axis represents constraint type, the category of barrier driving the low score. Every neighborhood lands in one of nine cells, determined entirely by its scores. Click any neighborhood to see its full diagnosis.

WHAT IT SHOWS

Urgency tier crossed with primary constraint type for every neighborhood simultaneously
 

INTENDED AUDIENCE

Agency commissioners, budget directors, and cross-agency planning teams
 

POLICY APPLICATION

Targeted resource allocation matching the right intervention type to the right neighborhood
 

03

THIRD TOOL

MOI Action Decision Tree

The Decision Tree is the MOI's live diagnostic engine. Enter any neighborhood's four dimension scores or select from existing modeled neighborhoods and the system derives the urgency tier, identifies the primary constraint, explains the causal role of each score, and recommends a specific action class with a deployment timeline. The logic is fully visible at every step.

WHAT IT SHOWS

Step-by-step causal diagnosis from raw dimension scores to recommended intervention class
 

INTENDED AUDIENCE

Program managers, community planners, borough-level coordinators, and researchers
 

POLICY APPLICATION

Neighborhood-level decision support grounded in transparent, auditable logic  not opaque algorithmic outputs
 

FRAMEWORK METHODOLOGY

Four dimensions. One score. Fully auditable.

The MOI composite score is derived from four dimensions, each sourced from existing NYC agency datasets and publicly available research. The framework is designed to expand in Phase 2, incorporating equity indicators, disability access, and transit walkability. All current data sources are publicly available through NYC Open Data, DOHMH Community Health Profiles, and New Yorkers for Parks Open Space research.

Access to facilities

Park acreage per 10,000 residents. Rec centers and schoolyards within walking distance. Physical proximity to movement spaces.

Source: NYC Parks Open Data · DOE Schools dataset

Chronic disease burden

Diabetes prevalence, obesity, and hypertension rates by neighborhood. Higher burden signals greater need for preventive movement infrastructure.

Source: DOHMH Community Health Survey · EpiQuery

Public programming coverage

Free and low-cost programs offered quarterly. Volume of programming relative to resident population across Parks and DYCD.

Source: NYC Parks Events · DYCD After School dataset

Participation rates

Youth enrollment in movement-related after-school programs. Senior enrollment in DFTA mobility and wellness programs.

Source: DYCD · DOE Fitnessgram · DFTA quarterly reporting

ABOUT THIS DATA

A framework in active development.

The neighborhood scores shown in the tools above are derived from publicly available data sources — including DOHMH Community Health Profiles 2021, New Yorkers for Parks Open Space Profiles 2021, and NYC Parks Capital Tracker — and are designed to demonstrate how the framework functions. They are research-informed estimates, not outputs from a validated formal data pipeline.

What "research-informed estimates" means

The dimension scores assigned to each neighborhood — for example, Brownsville D1 access: 11, are derived from real published data points sourced from DOHMH, New Yorkers for Parks, NYC Parks Capital Tracker, and peer-reviewed public health literature. Confirmed data points include: Central Harlem parkland at 0.3 acres per 1,000 residents (New Yorkers for Parks OSI), Hansborough and Brownsville Recreation Centers currently closed for reconstruction (NYC Parks Capital Tracker 2025), East Harlem diabetes rate at 20% (DOHMH CHP 2021), and South Bronx adult obesity at 42% (NY4P BX1 2021).

Producing real MOI scores would require a formal data standardization process:  This work would require collaboration with a qualified data scientist or biostatistician with experience in public health composite index construction.

PHASE 1 - CURRENT 

Framework design

Dimension definitions, scoring logic, tier system, constraint typology, intervention mapping, and prototype tooling — fully developed.

PHASE 2 - NEXT

Data validation

Agency data partnerships, NTA-level standardization, composite score validation, and publication of real neighborhood scores.

PHASE 3 - VISION

Live deployment

Public-facing dashboard updated quarterly, integrated into cross-agency planning, and adapted for additional cities.

BEYOND NYC

Built for New York. Designed for every city.

No U.S. city has fully unified recreation, public health, equity, aging, and movement culture into a single measurable framework. The MOI was built to change that — starting with New York, but designed from the ground up to be adapted anywhere that public health data and recreation infrastructure exist.

The dimensions are adaptable. The scoring logic is transparent and replicable. The intervention tier system is universal. What changes city to city is the data pipeline. The framework stays the same.

FOR RESEARCHERS AND DATA SCIENTISTS

Want the full technical methodology?

Indicator specifications, scoring formulas, benchmark values, assumptions register,

and open Phase 2 questions.

GET INVOLVED

This framework is open for collaboration.

The MOI needs data partners, policy champions, and city governments willing to pilot it. If you work in public health, urban planning, recreation policy, or community wellness and you see the potential here. I'd like to hear from you.

Interested in adapting the MOI for your city? Looking to collaborate on Phase 2 data validation? Researching movement equity frameworks? All inquiries welcome.

© 2026 Maillard Howell  ·  maillardhowellny.com/moi

The Movement Opportunity Index is an original framework developed independently by Maillard Howell.

Neighborhood scores are derived from publicly available research data — DOHMH Community Health Profiles

2021, New Yorkers for Parks Open Space Profiles 2021, NYC Parks Capital Tracker — and are research-informed

estimates pending Phase 2 formal agency data validation.

Data sources referenced: NYC DOHMH · NYC Parks · NYC DOE · NYC DFTA · NYC DYCD · NYC DOT · U.S. Census ACS

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