Abstract: Under the background of global low-carbon economy, rural-tourism developing with low-carbon is an inevitable trend. As tourists’travelling choices are determined by their decision-making behavior, the study of tourists’decision-making behaviors of low-carbon tourism would provide important reference for rural-tourism development. The push-pull model was constructed to classify the factors that affected low- carbon rural-tourism in this paper. And using binary logistic model, the influencing factors were analyzed, based on the research data of tourists from 10 suburban counties of Beijing. Empirical results showed that, in addition to individual objective factors such as education and income, significant factors of tourists’low- carbon rural-tourism decision-making included travel experiences, attitude toward low-carbon rural-tourism, perceived value of low-carbon rural-tourism and destination features of rural-tourism. Further, suggestions were put forward to promote the transformation and upgrading of rural-tourism under the background of low-carbon economy.