How would the contextual features of a destination function together with individual factors to enhance tourists’ intention toward ST in Taiwan?

Slow travel (ST), which emphasizes deeper experiences via slower transportation modes, has been promoted as an alternative to current practice and a more sustainable form of tourism. With lower GHG emissions being a national environmental goal in Taiwan, ST concepts have been garnering attention. The relationship between the environments of destinations and pro-environmental behavior of tourists has attracted relatively little academic attention. To remedy this, the current research establishes a fairly complete model for incorporating factors at the contextual level into the individual determinants useful in encouraging ST. The goal of this research is to understand how certain predictors directly and interactively influence the choices of tourists toward ST. This study collected 508 validly filled surveys addressing 13 industrial tourist destinations, and applied Hierarchical Linear and Nonlinear Modeling (HLM) analyses. In addition to the individual-level factors, including perceived benefits o...