Recognise me from outside to inside: Learning the influence chain of urban destination personalities |
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| Affiliation: | 1. School of Geographical Science, Nanjing Normal University, 1# Wenyuan Road, Qixia District, Nanjing, 210023, Jiangsu, China;2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, 1# Wenyuan Road, Qixia District, Nanjing, 210023, Jiangsu, China;1. Head of the Digital Marketing Specialization, Technology Marketing Department, Sapir Academic College, i24news Technology Contributor, Israel;2. Department of Hotel & Tourism Management, Guillford Glazer Faculty of Business & Management, Ben-Gurion University of the Negev, Israel;1. Faculty of Business, University of Wollongong, Wollongong, NSW 2500, Australia;2. School of Management and Marketing, Charles Sturt University, Bathurst, NSW, 2795, Australia;3. Faculty of Business, University of Wollongong, Wollongong, NSW 2522, Australia;1. School of Accounting, Nanjing Audit University, 86 West Yushan Road, Nanjing, China;2. School of Management, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, China;3. School of Hotel & Tourism Management, The Hong Kong Polytechnic University, 17 Science Museum Road, TST-East, Kowloon, Hong Kong Special Administrative Region;1. Institute for Tourism Studies (IFT), Macao, Rm I-127, I-Building, Colina de Mong-ha, Macao S.A.R., China;2. School of Hotel, Restaurant and Tourism Management, College of Hospitality, Retail and Sport Management, University of South Carolina, Carolina Coliseum, Room 1009, USA;1. Coventry Business School, Coventry University, Coventry, UK;2. School of Architecture and Cities, University of Westminster, London, UK;3. King''s Business School, King''s College London, UK |
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| Abstract: | This study aims to develop a personality scale specific to urban destinations and explore the antecedents and consequences of perceived urban destination personalities. Using a sample of 672 tourists, and an intelligent data analysis tool, machine learning, this study develops an urban destination personality scale with four components, i.e., temperament, competence, attitude and mood. Urban landscapes are found to be significant antecedents, with different influential importance in both components (modern space/ancient space/ecological/living/social landscapes) and elements. Besides, the impacts of urban destination personalities on overall destination image are identified, and the mediating effects of urban destination personalities on the relationship between urban landscapes and overall destination image are discovered. The findings contribute to revealing an influence chain of urban destination personalities and furtherly providing concrete practical insights into building or upgrading personalities of a particular urban destination so as to make it be more distinctive and attractive from outside to inside. |
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| Keywords: | Urban destination personality Urban landscape Overall destination image Influence chain Machine learning |
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