Tourism ecological security evaluation based on dynamic super-efficiency network SBM from the perspective of all-for-one tourism

Gan, Lu; Wen, Quaner; Lev, Benjamin; Jiang, Weiling

doi:10.1016/j.jclepro.2023.139333

Cited by 7 publications

(3 citation statements)

References 51 publications

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“…The DEA model was mostly used in the energy field at the beginning, but with the international concern about environmental pollution the super-efficiency network SBM, which can consider non-desired outputs, is more capable of indicating the real level of social system development. In addition, the model can reasonably consider the influence of input and output indicators on the system when measuring, thus making the final measurement results more scientific [ 26 , 26 , 27 ]. Thus, the actual status of URSUE can be reflected more effectively among different regions.…”

Section: Methodsmentioning

confidence: 99%

Dynamic evolution and trend prediction in coupling coordination between urban and rural space utilization efficiency based local and tele-coupling model

Zhang,

Xie,

Zhang

et al. 2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Dynamic evolution and trend prediction in coupling coordination between urban and rural space utilization efficiency based local and tele-coupling model

Zhang,

Xie,

Zhang

et al. 2024

Heliyon

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“…Let A ij characterize the j th indicator in the i th module; T ij 1 and T ij 2 are the two thresholds used to judge the positive or negative value of the indicator A ij influence value on the parent module. The value of the effect of the A ij on the parent module is shown in Equation 1 (Gan et al, 2023):…”

Section: Evaluation Index Systemmentioning

confidence: 99%

Research on Environmental Protection of Rural Ecotourism Based on PSR Model

Wang,

Liu

2024

International Journal of E-Collaboration

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This paper examines the relationship between rural ecotourism development and environmental protection in Province A, utilizing the PSR model and GAs. It employs a detailed evaluation of indicators in the tourism economy and ecological environment modules, using mathematical modeling and weight coefficient calculations to assess the impact of tourism activities. GAs are used to navigate the complex problem space inherent in balancing economic development with ecological sustainability. By analyzing data from 2005 to 2018, the coupling degree between tourism economy and ecological environment gradually increased from 0.1 to 0.6398. The results indicate a strengthening relationship between tourism economy and ecological environment, moving towards good or high-quality coordination. The degree of coupling, as measured by the PSR model, reflects the evolving interaction between rural tourism development and environmental protection. The findings provide valuable insights for policymakers and stakeholders in balancing economic growth with environmental sustainability in rural areas.

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“…For instance, in Hangzhou, well-attended sites-which show strong results in SNA-are mainly located in Xihu District and Shangcheng, while Qiantang District and Fuyang have no tourist nodes [40]. Moreover, "all-for-one tourism", proposed in 2016 in China, seeks to surpass traditional sightseeing limitations and envisions expansive regional tourism areas to enhance the sustainability of tourism development [41]. This has designated two rounds of national demonstration zones for "all-for-one" tourism at the county level.…”

Section: Introductionmentioning

confidence: 99%

Research on the Spatial Network Structure of Tourist Flows in Hangzhou Based on BERT-BiLSTM-CRF

Qi,

Wang,

Zhao

et al. 2024

IJGI

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Tourist flows, crucial information within online travelogues, reveal the interactive relationships between different tourist destinations and serve as the nerve center and link of the tourism system. This study takes Hangzhou, China, as a case to investigate the spatial network structure of its tourist flows. Firstly, a BERT-BiLSTM-CRF model and pan-attraction database are built to extract tourist attractions from online travelogues and create the tourist flow matrix. Then, this study uses social network analysis (SNA) to examine the structure of the tourist flow network from a county-level perspective. Additionally, GIS spatial analysis methods are applied to analyze the evolution of the tourist gravity center and standard deviation ellipse (SDE) of the network. The results reveal that the identification performances of the tourist flow extraction model this study proposed are significantly better than those of previous mainstream models, with an F1 value of 0.8752. Furthermore, the tourist flow network in Hangzhou displays a relatively sparse and unbalanced distribution, forming a “Core–Semi-Periphery–Periphery” structure. Lastly, from 2020 to 2022, the network’s gravity center experienced a shift towards the southwest, paralleled by an initial expansion and subsequent contraction of the SDE in the same southwest direction. These findings provide valuable insights into the spatial network structure of tourism in Hangzhou and can serve as a reference for policymakers to promote the “all-for-one” tourism.

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Tourism ecological security evaluation based on dynamic super-efficiency network SBM from the perspective of all-for-one tourism

Cited by 7 publications

References 51 publications

Dynamic evolution and trend prediction in coupling coordination between urban and rural space utilization efficiency based local and tele-coupling model

Dynamic evolution and trend prediction in coupling coordination between urban and rural space utilization efficiency based local and tele-coupling model

Research on Environmental Protection of Rural Ecotourism Based on PSR Model

Research on the Spatial Network Structure of Tourist Flows in Hangzhou Based on BERT-BiLSTM-CRF

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