![]() After controlling the socio-demographic factors, the model results corroborate that all built environment variables had significant total effects on car ownership, travel distance, travel frequency, and travel emissions. Geographic information system technology, combined with on-site measurement, was used to obtain data on the built environment. ![]() The travel data were collected from an activity diary survey in rural Sichuan. This study contributes to the understanding of the impacts of the rural built environment on travel-related CO 2 emissions by considering the mediating effects of household car ownership, travel frequency, travel distance, and individual travel attitudes through structural equation modeling.
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