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.
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Chi et al. (2020) studied this question.
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