Comprehensive evaluation and prediction of tourism ecological security in droughty area national parks—a case study of Qilian Mountain of Zhangye section, China

Yi, Wang; Wu, Chifei; Wang, Feifeng; Sun, Qiyuan; Xue-fu, Wang; Guo, Shengxiang

doi:10.1007/s11356-020-12021-2

Cited by 31 publications

(29 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The entropy weight method is used to calculate the weight of each indicator in the evaluation system. It can analyze the degree of correlation between indicators based on objective information, and reduce the impact of subjective factors to a certain extent [ 19 , 53 , 58 ]. The formulas are as follows:

…”

Section: Methodsmentioning

confidence: 99%

“…The formula is as follows:

where

is the TESI in year i ;

and

are the weight and standardized value of indicator j ; and n is the number of indicators in the evaluation system. The TESI level can be classified into 5 types [ 35 , 53 , 58 ]: unsafe, less unsafe, critical safe, relatively safe, and safe ( Table 2 ).…”

Section: Methodsmentioning

confidence: 99%

“…The “Pressure-State-Response” (PSR) model, “Driving-Pressure-State-Impact-Response” (DPSIR) model, “Pressure-State-Response-Environment-Economy-Society” (PSR-EES) model, and other quantitative models are usually used to establish the evaluation indicator system of tourism ecological security [ 25 , 49 , 54 , 55 ]. Quantitative research methods mainly include tourism environmental carrying capacity, ecological footprint (EF) method, comprehensive index method, analytic hierarchy process (AHP) method, improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, grey relation projection method, and so on [ 27 , 56 , 57 , 58 , 59 , 60 ]. The grey correlation degree and obstacle degree model are usually used to analyze influencing factors [ 53 , 61 , 62 ].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is necessary to establish an appropriate evaluation indicator system [ 27 ]. Many kinds of tourism destinations have been studied, e.g., forest, lake, mountain areas, island and other different types of tourism destinations [ 48 , 58 , 64 , 65 , 66 ]. However, little research has been focused on geoparks, which aim to achieve geoheritage conservation and regional sustainable development.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark

Chen

Zheng

Zhang

et al. 2022

IJERPH

View full text Add to dashboard Cite

The United Nations Educational, Scientific and Cultural Organization (UNESCO) Global Geoparks (UGGp) and geotourism activities not only improve people’s scientific quality by popularizing geoscience knowledge, but also play important roles in protecting precious geoheritages and promoting the development of regional economies. However, tourism activities also have a negative impact on the local ecological environment, placing the regional ecological system under great pressure. Therefore, this paper constructed a tourism ecological security evaluation indicator system suitable for geoparks by using the “Driving-Pressure-State-Impact-Response” (DPSIR) model. The spatial autocorrelation and obstacle degree model are used to analyze the spatio-temporal characteristics and influencing factors of the tourism ecological security index (TESI) of Huanggang Dabieshan UGGp in 2000, 2005, 2010, 2015 and 2018, respectively. The results indicate that the TESI of the study area has gradually improved from 2000 to 2018. Spatially, the level of TESI presents a gradient distribution from the townships where the main scenic spots are located to the surrounding townships. The main obstacle factors affecting TESI include: per capita tourism income, proportion of comprehensive tourism revenue in GDP, per capita net income of rural residents, proportion of tertiary industry in GDP, coverage of nature reserves, planning integrity of geopark, informatization of geopark, growth rate of tourists, comprehensive utilization rate of solid waste, etc. The influencing factors of TESI varied from time to time. Balancing the conflict between local tourism activities and environmental protection, encouraging the participation of local communities, and strengthening science popularization for the local public will effectively improve the tourism ecological security of geoparks.

show abstract

…”

Section: Methodsmentioning

confidence: 99%

“…The formula is as follows:

where

is the TESI in year i ;

and

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark

Chen

Zheng

Zhang

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Rich in geography, water, biological resources, cultural relics, folk customs, sports competitions, and other resources, the area is suitable for the development of sports tourism projects. The relevant resources in the core area have gradually changed from "dispersed" to "intensive" [34]. Natural beauty, historical civilization, and revolutionary historical sites together constitute the unique sports tourism resources Jinji border area of the Taihang Mountains.…”

Section: Pattern Of Sports Tourism Resources In 2018mentioning

confidence: 99%

Spatial Distribution Pattern and Influencing Factors of Sports Tourism Resources in China

Zuo

Chen

Pan

et al. 2021

IJGI

View full text Add to dashboard Cite

Sports tourism is an emerging tourism product. In the sports and tourism industry, resource mining is the foundation that provides positive significance for theoretical support. This study takes China’s sports tourism boutique projects as the study object, exploring its spatial distribution pattern through the average nearest neighbor index, kernel density, and spatial autocorrelation. On the strength of the wuli–shili–renli system approach, the entropy value method and geographic detector probe model are used to identify the driving factors affecting the spatial distribution pattern. Findings reveal the following: (1) From 2013 to 2014, the sports tourism resources in China present a distribution pattern with the Yangtze River Delta urban agglomeration as the high-density core area and the Guizhou–Guangxi border area and the western Hubei ecological circle as the sub-density core areas. (2) From 2014 to 2018, China’s sports tourism boutique projects increased by 381, and the regional differences among various provinces tended to converge. The high-density core area remained unchanged. The sub-density cores are now the Yunqian border area of the Karst Plateau, the Qinglong border area of the Qilian Mountains, and the Jinji border area of the Taihang Mountains, shaping the distribution trends of “depending on the city, near the scenery” and “large concentration, small dispersion”. (3) The proportion of provincial sports tourism development classified as being in the coordinated stage is 61.29%. (4) The explanatory power of the factors affecting the spatial layout in descending order is natural resource endowment, sports resource endowment, transportation capacity, industrial support and guidance, market cultivation and development, people’s living standards, software and hardware services, and economic benefit effects. The explanatory power of the interaction of two different factors is higher than that of the single factor.

show abstract

Hazard characteristics and causes of the “7.22” 2021 debris flow in Shenshuicao gully, Qilian Mountains, NW China

Yan

Zhou

et al. 2022

Landslides

View full text Add to dashboard Cite

Comprehensive evaluation and prediction of tourism ecological security in droughty area national parks—a case study of Qilian Mountain of Zhangye section, China

Cited by 31 publications

References 47 publications

Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark

Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark

Spatial Distribution Pattern and Influencing Factors of Sports Tourism Resources in China

Hazard characteristics and causes of the “7.22” 2021 debris flow in Shenshuicao gully, Qilian Mountains, NW China

Contact Info

Product

Resources

About