2017
DOI: 10.3390/su9101873
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Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China

Abstract: At present, the recycling rate of End-of-life vehicles (ELVs) in China is far lower than the heavily motorized countries, resulting in severe environmental pollution, waste of resource and hidden traffic troubles, which has a negative impact on China's economic and social sustainable development. With the arrival of the peak season of generating ELVs in China, it is urgent and important to improve the recycling rate of ELVs. The recycling rate of ELVs is influenced by multiple factors together. The existing re… Show more

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Cited by 50 publications
(36 citation statements)
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“…The thirteenth paper [29] deals with the problem of the recycling rate of end-of-life vehicles (ELVs) in China. The recent booming economy of China has many side effects; one of the severe consequences, is the environmental pollution, especially the foul air condition.…”
Section: Contributionsmentioning
confidence: 99%
“…The thirteenth paper [29] deals with the problem of the recycling rate of end-of-life vehicles (ELVs) in China. The recent booming economy of China has many side effects; one of the severe consequences, is the environmental pollution, especially the foul air condition.…”
Section: Contributionsmentioning
confidence: 99%
“…Ene and Öztürk [156] developed an approach for predicting the number of ELVs that will be generated in the future. Gan and Luo [157] presented a fuzzy-based DEMATEL approach to identify critical factors influencing the recycling rate of ELVs. Karaeen et al [158] presented a concept for the second life cycle of vehicles.…”
Section: Recycling Production and Planningmentioning
confidence: 99%
“…Case-by-case analysis, concerning the practices in vehicle recycling field, were conducted by Daljmin and De Jong [20] in the case of the European Union, Kim et al [21], Joung et al [22]-for Korea, Sakkas and Manios [23]-for Greece, Nakajima and Vanderburf [24]-for of Germany, Forton et al [25], Edwards et al [26]-for UK, Chen and Zhang [27], Wang and Chen [28], Gan and Luo [29]-for China, Cheng et al [30]-for Taiwan, Altay et al [31]-for Turkey, and Hiratsuka et al [32]-for Japan, and Lin et al, for small island of Kinmen [33] Comparative analyzes were conducted by Zameri and Blount [34], between EU, US, Japan, and Australia.…”
Section: Top Of Form Bottom Of Formmentioning
confidence: 99%