Resource integration spectrum of tourist destinations and its construction: A case study of Zunyi City
- 1College of Tourism, Hunan Normal University, Changsha 410081, China
Abstract
[Objective] Efficient resource integration is key to high-quality tourism development; however, tools to quantitatively measure integration intensity and systematically analyze its structure remain lacking. This study aims to propose an intensity measurement method, construct a resource integration spectrum, and validate its applicability to reveal structural characteristics in tourist destinations. [Methods] By introducing the concept of “spectrum” from physics, this study constructed a measurement model for the resource integration intensity index based on its hierarchical, community, and spatial structures. The equal-interval classification method divided individual resources and basic types into a five-level hierarchical spectrum; the natural breaks method classified the community structure into three levels; and the spatial structure was categorized into a five-level spatial spectrum. Zunyi City was selected as the empirical area for validation. [Results] (1) For individual resources, the “weak” and “super-strong” groups stood out in scale, with significant red culture integration capacity. For basic types, the “super-strong” category was the largest and the “strong” was the smallest, with “waterfalls” and “local events” showing extremely high integration levels. (2) The community spectrum of resource integration included five communities: red culture-dominated, Danxia landscape-dominated, liquor culture-dominated, ethnic culture-dominated, and local specialty food-dominated, with the red culture-dominated and Danxia landscape-dominated communities exhibiting high levels of integration. (3) The spatial spectrum of resource integration exhibited five levels, with Chishui City and Honghuagang District classified as Level I, constituting the core areas of resource integration in Zunyi City. (4) The spatial spectrum of resource integration was influenced by a combination of 13 factors across four dimensions: natural environment, social environment, cultural environment, and economic environment. The interactions between these factors exhibited enhancement effects, with the consumption pull index and forest coverage rate serving as decisive factors. [Conclusion] This study proposes the resource integration spectrum and its measurement method, and verifies its scientific validity and effectiveness through a case study. It lays the foundation for revealing the structural characteristics of resource integration in tourist destinations, while also providing an analytical tool for the rational allocation of resources in such destinations.
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BibTeX
@article{xuchunxiao2026resource,
title = {{Resource integration spectrum of tourist destinations and its construction: A case study of Zunyi City}},
author = {XU Chunxiao, CHEN Jingjing, LIANG Huiting},
journal = {Ziyuan Kexue},
year = {2026},
month = oct,
doi = {10.18402/resci.2026.10.16},
url = {https://doi.org/10.18402/resci.2026.10.16},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Resource integration spectrum of tourist destinations and its construction: A case study of Zunyi City
AU - XU Chunxiao, CHEN Jingjing, LIANG Huiting
PY - 2026
DA - 2026/10/01
JO - Ziyuan Kexue
DO - 10.18402/resci.2026.10.16
UR - https://doi.org/10.18402/resci.2026.10.16
AB - [Objective] Efficient resource integration is key to high-quality tourism development; however, tools to quantitatively measure integration intensity and systematically analyze its structure remain lacking. This study aims to propose an intensity measurement method, construct a resource integration spectrum, and validate its applicability to reveal structural characteristics in tourist destinations. [Methods] By introducing the concept of “spectrum” from physics, this study constructed a measurement model for the resource integration intensity index based on its hierarchical, community, and spatial structures. The equal-interval classification method divided individual resources and basic types into a five-level hierarchical spectrum; the natural breaks method classified the community structure into three levels; and the spatial structure was categorized into a five-level spatial spectrum. Zunyi City was selected as the empirical area for validation. [Results] (1) For individual resources, the “weak” and “super-strong” groups stood out in scale, with significant red culture integration capacity. For basic types, the “super-strong” category was the largest and the “strong” was the smallest, with “waterfalls” and “local events” showing extremely high integration levels. (2) The community spectrum of resource integration included five communities: red culture-dominated, Danxia landscape-dominated, liquor culture-dominated, ethnic culture-dominated, and local specialty food-dominated, with the red culture-dominated and Danxia landscape-dominated communities exhibiting high levels of integration. (3) The spatial spectrum of resource integration exhibited five levels, with Chishui City and Honghuagang District classified as Level I, constituting the core areas of resource integration in Zunyi City. (4) The spatial spectrum of resource integration was influenced by a combination of 13 factors across four dimensions: natural environment, social environment, cultural environment, and economic environment. The interactions between these factors exhibited enhancement effects, with the consumption pull index and forest coverage rate serving as decisive factors. [Conclusion] This study proposes the resource integration spectrum and its measurement method, and verifies its scientific validity and effectiveness through a case study. It lays the foundation for revealing the structural characteristics of resource integration in tourist destinations, while also providing an analytical tool for the rational allocation of resources in such destinations.
SN - 1007-7588
ER -