What are the environmental preferences of runners? Evidence from Guangzhou

Abstract

The impact of the built environment on running behavior is a subject of interest in existing theories. However, empirical evidence is limited due to data acquisition challenges. This paper addresses this gap by utilizing 3271 valid running routes sourced from the Chinese fitness app Keep to construct a running intensity index based on 10664 road segments in Guangzhou, China, with intensity values ranging from 0.000013 to 17.645459 m/m². It analyzes the spatial characteristics of running intensity. Using global and local regression methods, the study explores runners’ environmental preferences concerning natural exposure, street environment, and neighborhood. The results indicate that streets with higher running intensity, exceeding 10.082 m/m², are closer to water bodies and green spaces, while lower-intensity areas, below 2.049 m/m², are often associated with busy traffic, noisy commercial activities, and sparsely populated regions. Global regression results demonstrate that positive environmental attributes, such as street greenery (OLS coefficient: 2.658∗∗), promote running behavior, while negative attributes like street density (OLS coefficient: −18.681∗∗), hinder it. However, several local regression results contradict these global findings. Our results offer valuable insights for planners and policymakers to develop targeted intervention strategies that enhance vibrant running streets, fostering the integration and symbiosis of urban public spaces.