2021
DOI: 10.1016/j.jclepro.2020.123650
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Towards sustainability: An assessment of an urbanisation bubble in China using a hierarchical - Stochastic multicriteria acceptability analysis - Choquet integral method

Abstract: Urbanisation bubbles have become an increasingly serious problem. Attention has been paid to the speed of urbanisation; however, the issue of quality has been neglected, particularly in the case of China. Therefore, the aim of this research is to evaluate China's urbanisation bubbles by employing a hierarchical -stochastic multicriteria acceptability analysis (SMAA) -Choquet integral method. In order to highlight regional disparities, we measure the urbanisation bubbles at a provincial level. Our study aggrega… Show more

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Cited by 7 publications
(3 citation statements)
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“…Evaluation at the provincial level enables the results from the SDM to be directly explained in the process of interpreting the territory. Meanwhile, it is reasonable to conduct the change from regional to provincial level, because the complexity in China's provinces is the same as their regions regarding their social relationships, quality and kinds of resources [ 91 ]. Governments at a provincial level have the powers to decide on innovation input, which is necessary for policy implications.…”
Section: Methodsmentioning
confidence: 99%
“…Evaluation at the provincial level enables the results from the SDM to be directly explained in the process of interpreting the territory. Meanwhile, it is reasonable to conduct the change from regional to provincial level, because the complexity in China's provinces is the same as their regions regarding their social relationships, quality and kinds of resources [ 91 ]. Governments at a provincial level have the powers to decide on innovation input, which is necessary for policy implications.…”
Section: Methodsmentioning
confidence: 99%
“…In addressing the identified gaps in the existing literature, this study introduced the temporal knowledge graph recommender system (TKGRS), an innovative algorithm that synergistically integrates matrix factorization, graph convolutional networks (GCNs), and temporal dynamics. TKGRS aims to overcome the limitations of the current algorithms while establishing a new benchmark in personalized recommendation systems [7,9]. Initially, TKGRS uses matrix factorization techniques to create initial embeddings for users and items, capturing their linear relationships.…”
Section: Introductionmentioning
confidence: 99%
“…The fuzzy multi-attribute decision evaluation method was then used to derive each provincial area’s evaluation results [ 16 , 17 ]. However, the simple weighted average cannot capture the indicators’ redundancy and synergy [ 18 , 19 ]. When evaluating meteorological disaster governance capacity using fuzzy multi-attribute decision-making methods, it cannot merely be assumed that the attributes are independent of each other.…”
Section: Introductionmentioning
confidence: 99%