Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China

Huang, Zhou; Bao, Yi; Mao, Ruichang; Wang, Han; Yin, Ganmin; Wan, Lin; Qi, Houji; Li, Qiaoxuan; Tang, Haoyu; Liu, Qiance; Li, Linna; Yu, Bo; Liu, Yu; Guo, Huadong; Liu, Gang

doi:10.1016/j.eng.2023.05.015

Cited by 10 publications

(9 citation statements)

References 78 publications

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“…In contrast, the dataset developed by Huang, et al . 6 which is gridded based on bottom-up machine learning estimates, displayed a greater divergence from our results, with a 29% difference in total materials in buildings at the prefectural level. Furthermore, we compared and assessed the gridded performance of our results from Huang, et al .…”

Section: Technical Validationcontrasting

confidence: 96%

“…Thus, gaining a comprehensive understanding of the spatial distribution of material stocks has become crucial for the effective implementation of resource management policies and offers valuable insights for the promotion of sustainable development patterns in urban entities. Previous research on material flows in China has evolved from a national-level accounting to provincial 3 , city-level 4 , and even grid-level analyses 5 , 6 . Nevertheless, the absence of standardized methodologies has hindered a precise quantification and localization of provincial-level and city-level material stock accounts down to the level of individual urban grids.…”

Section: Background and Summarymentioning

confidence: 99%

“… 4 and Huang, et al . 6 were used for a validation at the prefectural level. It is clear that our results are more consistent with those of Li, et al .…”

Section: Technical Validationmentioning

confidence: 99%

“…Furthermore, we compared and assessed the gridded performance of our results from Huang, et al . 6 . A typical example is shown in Fig.…”

Section: Technical Validationmentioning

confidence: 99%

“… 4 2020 Total Total City-level +7% 50 cities Huang et al . 6 2020 Buildings Total City-level −29% Shanghai Huang et al . 6 2020 Buildings Steel Grid-level −25%

Fig.…”

Section: Technical Validationmentioning

confidence: 99%

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Gridded material stocks in China based on geographical and geometric configurations of the built-environment

Sun,

Wang,

Jiang

et al. 2023

Sci Data

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Material stocks have created alternative perspectives in many environmental and climate studies. Their significance nonetheless may be under-explored, partially due to scarcity of more precise, timely and higher-resolution information. To address this limitation, our present study developed a gridded material stocks dataset for China in Year 2000 and 2020, by examining the geographical distribution and geometric configurations of the human-made stock-containing environment. The stocks of twelve materials embodied in five end-use sectors and 104 products and constructions were assessed at a resolution of 1 × 1 km grid. Material intensity in each product or construction component was carefully evaluated and tagged with its geometric conformation. The gridded stocks aggregately are consistent with the stock estimation across 337 prefectures and municipalities. The reliability of our assessment was also validated by previous studies from national, regional, to grid levels. This gridded mapping of material stocks may offer insights for urban-rural disparities, urban mining opportunity, and climate and natural disaster resilience.

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Section: Technical Validationcontrasting

confidence: 96%

Section: Background and Summarymentioning

confidence: 99%

“… 4 and Huang, et al . 6 were used for a validation at the prefectural level. It is clear that our results are more consistent with those of Li, et al .…”

Section: Technical Validationmentioning

confidence: 99%

“…Furthermore, we compared and assessed the gridded performance of our results from Huang, et al . 6 . A typical example is shown in Fig.…”

Section: Technical Validationmentioning

confidence: 99%

“… 4 2020 Total Total City-level +7% 50 cities Huang et al . 6 2020 Buildings Total City-level −29% Shanghai Huang et al . 6 2020 Buildings Steel Grid-level −25%

Fig.…”

Section: Technical Validationmentioning

confidence: 99%

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