Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis

Area of Science:

• Urban planning
• Environmental psychology
• Public health

Background:

• Running offers significant physical and psychological benefits.
• Understanding the environmental factors that encourage running is crucial for promoting active lifestyles.
• Current knowledge on ideal running environments, particularly concerning neighborhood characteristics, remains limited.

Purpose of the Study:

• To identify neighborhood factors that attract runners.
• To explore how age and gender influence preferences for built environments among runners.
• To leverage crowdsourced data for urban environmental analysis.

Main Methods:

• Utilized crowdsourced fitness data from Strava to map runner activity patterns in Metro Vancouver.
• Employed a Generalized Linear Model (GLM) to assess the impact of socioeconomic status (SES), green/blue spaces, and urbanicity on route popularity.
• Analyzed the influence of these neighborhood variables across different age and gender demographics.

Main Results:

• High neighborhood SES, presence of green and/or blue spaces, and high population density were positively associated with running activity.
• These environmental factors influenced running popularity across all analyzed age and gender groups.
• Crowdsourced data combined with urban environmental data provides a novel approach to understanding runner behavior.

Conclusions:

• Neighborhood characteristics such as high SES, access to green/blue spaces, and population density are key attractors for runners.
• Urban planning can utilize these findings to design cities that promote running and encourage equitable participation across diverse demographics.
• The study highlights the value of integrating crowdsourced data with urban environmental data for public health and urban planning initiatives.