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Social Indicators Research

Erschienen in:

08.04.2019

A Hierarchical Measurement Model of Perceived Resilience of Urban Tourism Destination

verfasst von: Shanshan Dai, Honggang Xu, Fangfang Chen

Erschienen in: Social Indicators Research | Ausgabe 2/2019

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Abstract

Uncertainty and disturbance from the external world challenge the sustainable development of cities. With the rise of tourism and global economic change, tourism and urban development have become intertwined. This study develops a macro–micro hierarchical resilience measurement model for tourism city from a resident perception-based perspective. Using Sanya, on China’s Hainan province, as a case, rigorous procedures were followed for measurement development. First, a measurement scale was designed. Thereafter, exploratory structural equation modelling (ESEM) was conducted to explore the multidimensionality of each domain, and bifactor-exploratory structural equation modelling (bifactor-ESEM) was carried out to identify the overarching construct of city tourism resilience. From both a macro level and a micro level, with five domains (social, economy, environment, institution and knowledge), ten overarching factors addressing the resilience structure of urban tourism destination were identified.

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Titel: A Hierarchical Measurement Model of Perceived Resilience of Urban Tourism Destination
verfasst von: Shanshan Dai
Honggang Xu
Fangfang Chen
Publikationsdatum: 08.04.2019
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 2/2019
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-019-02117-9

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