2022
DOI: 10.1016/j.resconrec.2021.105979
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Characterizing end-of-life household vehicles’ generations in China: Spatial-temporal patterns and resource potentials

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Cited by 24 publications
(7 citation statements)
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“…With the passage of time, the gap between the eastern and western regions has become larger and larger, showing a spatial pattern of more east and less west [50]. Zhang et al [51] also showed that the eastern region has the largest percentage of abandoned passenger vehicles, consistent with our results. This may be caused by the economic gap between the east and west.…”
Section: Discussionsupporting
confidence: 92%
“…With the passage of time, the gap between the eastern and western regions has become larger and larger, showing a spatial pattern of more east and less west [50]. Zhang et al [51] also showed that the eastern region has the largest percentage of abandoned passenger vehicles, consistent with our results. This may be caused by the economic gap between the east and west.…”
Section: Discussionsupporting
confidence: 92%
“…Similarly, except for wood and brick, the outflow of all materials will increase steadily, of which the most significant increase will be from steel, that is, from 19 million t in 2021 to 50 million t in 2050. This magnitude will approach steel scrap in household vehicles system, which is expected to increase to 55 million t in 2050 (Zhang et al., 2022). Therefore, increasing the use of recycled steel in end‐of‐life residential buildings can be an effective way to relieve primary steel demand and conduct the strategy of urban mining in China.…”
Section: Resultsmentioning
confidence: 99%
“…The database can serve as the foundation for analyzing energy consumption and material cycles. The projection of vehicle stocks could offer valuable information on urban mining (Zeng et al 2020;Zhang et al 2022), material demand (Aguilar Lopez et al 2023Billy and Müller, 2023;Xu et al 2020), and energy consumption (Bu et al 2021;Zheng et al 2015) to governments and related industries. Currently, most studies on vehicle ownership projection in China focus on national and provincial scales.…”
Section: Discussionmentioning
confidence: 99%