Investigate the relationship between green space and active travel of students: using Beijing as case studies

Abstract

Active travel is getting popular in urban studies worldwide as it can decrease the carbon emission. This study builds on recent interest in green space and active travel to further investigate the links between green space and students’ active travel behavior at the university campus. To better understand these relationships, this study assessed the green spaces of the universities using the remote sensing data and street-view images based on deep learning technology. By using these data combined with multilevel logistic regression modelling, the results of our study indicate a positive relationship between the eye-level green space and the active travel behavior of the university student on a semi-enclosed Chinese university campus. These results emphasize the importance of campus green space on the active travel behavior of university students and the implication of future transportation to achieve green and low-carbon society.