Optimization and simulation of tourist shunt scheme: A case of Jiuzhai Valley

Yao, Lifei; Ma, Ruimin; Liao, Zhixue; Du, Siyuan; Jin, Maozhu; Ren, Peiyu

doi:10.1016/j.chaos.2016.02.018

Cited by 9 publications

(2 citation statements)

References 9 publications

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“…Besides, a moderate low level of capacity to adapt to the potential negative impacts further elevates its composite IEV. To mitigate the ecological vulnerability in Shengsi, environmental policy should prioritize undergoing ecological restoration measures and preserving biodiversity, while tourism policy should focus on promoting tourism in the shoulder season (roughly April through mid-June and September through October) to manage spatiotemporal separation of tourists by shunting peak season tourists, an optimal scheme long echoed by Chinese scholars (Du et al, 2016;Yao et al, 2016;Hu et al, 2018).…”

Section: Policy Implicationsmentioning

confidence: 99%

Nouveauté or Cliché? Assessment on island ecological vulnerability to Tourism: Application to Zhoushan, China

Jong

Sun

et al. 2020

Ecological Indicators

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In comparison with coastal zones, islands are even more vulnerable to anthropogenic disturbance, especially to tourism and tourism-induced activities. Despite a great number of studies on either island tourism or island vulnerability reviewed in this paper, knowledge and practice of the impact from tourism upon island ecological vulnerability (IEV) still needs to be expanded. In this contribution, the IEV of four administrative regions in Zhoushan, China is assessed between 2012 and 2017 based on an "exposure (E)-sensitivity (S)-adaptive capacity (A)" framework and by means of coupling coordination degree modeling (CCDM) for determination of the overall development level of E-S-A subsystems in each region. The assessment results show that: (1) An index system consisting of 1 objective, 3 sub-objectives, 7 elements, and 20 indicators can be established and tested to reflect the IEV to tourism; (2) As the most attractive tourist destinations, Shengsi and Putuo inevitably have the highest IEV values; (3) Dinghai's moderate low level of IEV comes as a surprise, due to its direct connectivity to its neighboring coastal city of Ningbo; (4) The more balanced the coupling coordination degree (CCD) values among E-S-A subsystems are, the higher the IEV values in the four tourist destinations of Zhoushan. In conclusion, tourism can be a double-edged sword for islands, the overall benefits of which outweigh the negative impacts upon island ecological conditions.

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Section: Policy Implicationsmentioning

confidence: 99%

Nouveauté or Cliché? Assessment on island ecological vulnerability to Tourism: Application to Zhoushan, China

Jong

Sun

et al. 2020

Ecological Indicators

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“…Jin and Hu start from the crowding of scenic spots to study the influence of crowding as perceived by tourists on the development of scenic spots, focus on analyzing the psychological influence and provide suggestions to the management of scenic spots [ 2 ]. Yao and Ma established a shunt and scheduling model of tourists and adopt the optimal shunt scheme to facilitate the compound balance of scenic spots to relieve the conflict between economic development and environmental protection [ 3 ]. Duan and Li put forward a dynamic pricing model from the perspective of economic development of scenic spots and improve the revenue management of scenic spots by scientific and reasonable pricing strategy and price system [ 4 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China

Liang

Liu

2017

IJERPH

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In connection with the sustainable development of scenic spots, this paper, with consideration of resource conditions, economic benefits, auxiliary industry scale and ecological environment, establishes a comprehensive measurement model of the sustainable capacity of scenic spots; optimizes the index system by principal components analysis to extract principal components; assigns the weight of principal components by entropy method; analyzes the sustainable capacity of scenic spots in each province of China comprehensively in combination with TOPSIS method and finally puts forward suggestions aid decision-making. According to the study, this method provides an effective reference for the study of the sustainable development of scenic spots and is very significant for considering the sustainable development of scenic spots and auxiliary industries to establish specific and scientific countermeasures for improvement.

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Coupling Coordinative Degree of Natural Scenic Spot System from the Perspective of Low-Carbon Eco-Tourism

Qin

Luo

Cheng

et al. 2018

Proceedings of the Twelfth International Conference on Management Science and Engineering Management

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Optimization and simulation of tourist shunt scheme: A case of Jiuzhai Valley

Cited by 9 publications

References 9 publications

Nouveauté or Cliché? Assessment on island ecological vulnerability to Tourism: Application to Zhoushan, China

Nouveauté or Cliché? Assessment on island ecological vulnerability to Tourism: Application to Zhoushan, China

Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China

Coupling Coordinative Degree of Natural Scenic Spot System from the Perspective of Low-Carbon Eco-Tourism

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