The dynamic analysis and evaluation on tourist ecological footprint of city: Take Shanghai as an instance

Lin, Wenpeng; Li, Ying; Li, Xiande; Xu, Dong

doi:10.1016/j.scs.2017.12.003

Cited by 65 publications

(38 citation statements)

References 12 publications

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“…c 2 1 has sub criteria c 21 1 and c 22 1 . c 1 2 has two sub criteria c 11 2 and c 12 2 . Specially, c 21 1 is cost indicator while others are benefit indicators.…”

Section: Methodsmentioning

confidence: 99%

“…A widely accepted definition of sustainability as given by Brundtland [1] is "development that meets the needs of the present without compromising the ability of future generations to meet their own needs". The research of sustainability development has become popular for scholars and researchers in various fields [2][3][4][5][6][7][8][9][10][11]. As the differences of the geographical locations, natural resources, population, economic foundation, and others are significant for the 31 provinces in mainland China, it is necessary to investigate sustainability development to provide reference for strategic planning and natural resource management [12].…”

Section: Introductionmentioning

confidence: 99%

“…Garcia and Davide disclosed useful techniques and strategies, aiming to integrate social aspects, green architecture designs and traditional ecological issues [10]. In addition, more models introduced other dimensions as additional pillars [17], such as natural resources [21], culture [22,23], tourism [11] and others [24,25].…”

Section: Introductionmentioning

confidence: 99%

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Sustainability Assessment of Provincial-Level Regions in China Using Composite Sustainable Indicator

Wang

Zhang

et al. 2019

Sustainability

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Sustainability development is a core issue and policy-priority in China to meet the long-term ecological civilization and economic growth. In this paper, the sustainability of the 31 Chinese provincial-level administrative regions (provinces for short) was investigated using a composite sustainability indicator (CSI). The CSI was constructed by aggregating thirty sustainability indicators involving economic, social, and environmental dimensions hierarchically. Moreover, a piecewise mean range normalization method was developed for weakening the impact of outlier(s). The results indicate that further improvement of the provinces’ sustainability is needed, since only three provinces (accounting for 9.68%) showed better performance and development momentum, simultaneously. However, over half of the provinces showed comparatively optimistic sustainability prospect, indicating a possibility of further sustainability improvement in China under a positive and effective guidance. In terms of the individual provinces, the decline of the sustainability of Liaoning and Tianjin was significant whereas Anhui, Hunan, and Hubei showed more optimistic development prospects. For the four regions, Middle China was on the rise, the decline of Northeastern China was serious, and East China and West China showed better development, but they should also keep vigilance on the possible decline because of the decline of competitive advantages.

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“…c 2 1 has sub criteria c 21 1 and c 22 1 . c 1 2 has two sub criteria c 11 2 and c 12 2 . Specially, c 21 1 is cost indicator while others are benefit indicators.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sustainability Assessment of Provincial-Level Regions in China Using Composite Sustainable Indicator

Wang

Zhang

et al. 2019

Sustainability

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show abstract

“…Fourth, calculate the target score. By quantifying the lowest layer index and combining the weight vector of the lower layer element to the upper layer element [23], calculate the factor score layer by layer from bottom to top; finally, the score of the total target is obtained [24], and the evaluation process is finished.…”

Section: Comprehensive Evaluation Methods For Sustainable Development mentioning

confidence: 99%

Establishment and Application of an Evaluation System for the Sustainable Development of Subway Traffic

Geng¹,

Vojtasík²

2018

Preprint

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According to the characteristics of the sustainable development of subway traffic, the establishment process of an evaluation index system is determined, and the evaluation method and basis are defined. The evaluation index system is established from the aspects of subway traffic sustainability, economic sustainability and urban coordination sustainability. The comprehensive evaluation method of the analytic hierarchy process (AHP) model is used to calculate the weights of comprehensive evaluation indexes at each level. Finally, the sustainable development model of Shijiazhuang subway traffic is evaluated. The results show that the proposed evaluation system and model reflect the degree of sustainable development of subway traffic and can be used for reference in the evaluation of regional subway traffic sustainable development.

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“…Lin et al assessed the dynamic sustainability of Shanghai from the aspect of tourism ecological footprint. The evaluation results indicated there had been tourism ecological deficit in Shanghai from 2008 to 2013, showing that the pressure of tourism ecosystem was high and the Shanghai tourism was in unsustainable development state [47]. However, for most studies, they did not consider the overall performances of an object on a certain criterion across different years.…”

Section: Introductionmentioning

confidence: 99%

Sustainability Evaluation of Cities in Northeastern China Using Dynamic TOPSIS-Entropy Methods

Zhang

2018

Sustainability

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The revitalization of Northeastern China has been an important topic in China in recent years. Sustainable development of cities plays a strong role in the revitalization process. In this paper, we evaluated the sustainability of the 34 prefecture-level and above cities in Northeastern China. The evaluation process was viewed as a dynamic evaluation problem. A dynamic technique for order preference by similarity to ideal solution (TOPSIS) and entropy method was developed by extending the entropy weight and TOPSIS to dynamic situation. It was found that the sustainability levels of the cities in Northeastern China were comparatively low. Only four sub-provincial cities’ average performances were over 0.5 (accounting for 11.8%). Except for Jixi, nearly all the cities had dim sustainability because of the lower positive or even negative growth rates. In addition to Shenyang, Dalian, Changchun, Harbin, and Daqing, the other cities performed worst in the economic sustainability with performance values below 0.3. This implicates that the necessity and urgency of improving the economic sustainability levels of the cities in Northeastern China to realize the coordinated development of the three dimensions (economy, society and environment). In terms of the cities located in Liaoning province, they need to pay more attention to the economic sustainability, even though their economy basis (or levels) were comparatively better than that in Jilin and Heilongjiang provinces. For the cities in Jilin and Heilongjiang provinces, the decline of their environmental sustainability was serious. This case should arouse the attention of local authorities.

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The dynamic analysis and evaluation on tourist ecological footprint of city: Take Shanghai as an instance

Cited by 65 publications

References 12 publications

Sustainability Assessment of Provincial-Level Regions in China Using Composite Sustainable Indicator

Sustainability Assessment of Provincial-Level Regions in China Using Composite Sustainable Indicator

Establishment and Application of an Evaluation System for the Sustainable Development of Subway Traffic

Sustainability Evaluation of Cities in Northeastern China Using Dynamic TOPSIS-Entropy Methods

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