Exploring the Sustainable Development of Archaized Block Tourist Destination Based on Communicative Image and Perceptive Image

Although archaized blocks have good development prospects as tourist destinations that reshape local characteristics in cities, they have been criticized by academic circles, and most of them are underperforming due to poor management. Therefore, facing the marginalization of the existing archaized...

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Veröffentlicht in:Sustainability 2021-06, Vol.13 (12), p.6858
Hauptverfasser: Fan, Kuo-Kuang, Zhou, Ying, Zhang, Jun
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Zhou, Ying
Zhang, Jun
description Although archaized blocks have good development prospects as tourist destinations that reshape local characteristics in cities, they have been criticized by academic circles, and most of them are underperforming due to poor management. Therefore, facing the marginalization of the existing archaized streets in various cities, it is urgent to recognize their image and value and find out the strategies that can guide their sustainable development. First of all, we changed the traditional perspective of looking at archaized block cultural attractions through the comparison of a literature review and confirmed that the archaized block should connote a sense of community, fluidity, and publicity and highlight the foundation of local culture and field development. Secondly, we selected a case as the main object and compared the correspondence between the communicative and perceptive images of local residents to construct the connection map of the relationship between local residents and the case field. This part consists of two stages: (1) Through the official information and the intervention of Means–End Chain, we confirm the communicative image and perceptive image of this field, including 13 attributes, 12 consequences, and 11 values; and (2) The collected contents of attributes, consequences, and values were merged and converted into 36 variables to form the evaluation basis for the perceptive images of local residents. Finally, we conducted descriptive statistics, factor analysis, correlation analysis, and multiple linear regression through SPSS 20.0, constructed the A–C–V relation link diagram for the relationship between the field of the case with the local residents, and interpreted the content that should be focused on and the logic behind the constructed image of the field. In addition, the analysis has shown that the archaized block’s function is not only meant for tourism, but it also acts as a network information center combining local people, local knowledge, and local cultural resources, thus highlighting the diversity and value of the archaized block. This research not only provides suggestions for the marketing and design organizations of the archaized block to improve the image of the destination, but also to help the inheritance of urban culture.
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This part consists of two stages: (1) Through the official information and the intervention of Means–End Chain, we confirm the communicative image and perceptive image of this field, including 13 attributes, 12 consequences, and 11 values; and (2) The collected contents of attributes, consequences, and values were merged and converted into 36 variables to form the evaluation basis for the perceptive images of local residents. Finally, we conducted descriptive statistics, factor analysis, correlation analysis, and multiple linear regression through SPSS 20.0, constructed the A–C–V relation link diagram for the relationship between the field of the case with the local residents, and interpreted the content that should be focused on and the logic behind the constructed image of the field. 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subjects Architecture
Cities
Competitive advantage
Correlation analysis
Cultural resources
Culture
Factor analysis
Fluidity
Heredity
Information centers
Inheritances
Knowledge
Literature reviews
Local culture
Marketing
Signs
Statistical analysis
Sustainability
Sustainable development
Tourism
Tourists
title Exploring the Sustainable Development of Archaized Block Tourist Destination Based on Communicative Image and Perceptive Image
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