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Research Domains
Built Environment And Design
Urban And Regional Planning
Urban Informatics
Applying Location Quotient Methodology To Urban Park Settings With Mobile Location Data: Implications For Equity And Park Planning.

Home
Research Domains
Built Environment And Design
Urban And Regional Planning
Urban Informatics
Applying Location Quotient Methodology To Urban Park Settings With Mobile Location Data: Implications For Equity And Park Planning.

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Applying location quotient methodology to urban park settings with mobile location data: Implications for equity and park planning.

Sammie L Powers¹, Nicholas A Pitas², William L Rice³

¹School of Sport, Recreation, and Tourism Management, George Mason University.

Urban Forestry & Urban Greening

|July 4, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study reveals how socio-demographics of urban park visitors vary by amenity. Mobile data analysis helps identify service gaps for equitable park resource allocation.

Keywords:

environmental justice income park visitation race

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Area of Science:

Urban planning
Environmental justice
Geographic Information Systems (GIS)

Background:

Understanding urban park visitation is crucial for equitable resource distribution.
Mobile device location data offers new possibilities for analyzing visitor patterns.
Socio-demographic factors significantly influence access to and use of public spaces.

Purpose of the Study:

To pilot a novel methodology combining location quotient and proportional comparison with mobile device data.
To analyze urban park visitation patterns based on visitor home locale socio-demographics.
To identify potential service gaps in park amenity usage among different socio-demographic groups.

Main Methods:

Utilized mobile device location data to track visitor origins.

Applied location quotient and proportional comparison to analyze demographic data (race, income) against amenity usage.

Examined visitation patterns for specific amenities within Fairmount Park, Philadelphia.

Main Results:

Identified specific park amenities with over- or underrepresentation of visitors from particular socio-demographic groups.
Documented intersectionality between race and income in park amenity visitation.
Demonstrated variations in usage patterns across different park features.

Conclusions:

The methodology effectively highlights disparities in park amenity use.
Findings can inform park managers about underserved populations and service gaps.
Supports data-driven, equitable resource allocation for urban parks.