ABSTRACT
This study was designed to identify slow city attributes on Mainland China and examine the role of the discovered attributes in forming behavioral intention. A psychometric process with mixed methods was employed to obtain the research objectives. The qualitative approach grasped the distinctive attributes of a slow city. The quantitative approach explored the eight slow city dimensions involving 43 items. The structural analysis demonstrated the effect of the attributes identified with sense of belonging, mental well-being, and intentions. Our results helped show how slow city marketers invent efficient strategies to boost positive tourist behaviors for slow cities in Mainland China.
Disclosure statement
No potential conflict of interest was reported by the authors.