Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-3031-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3031-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Residential building stock modelling for mainland China targeted for seismic risk assessment
Department of Earth and Space Sciences, Southern University of Science
and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, Guangdong Province,
China
Center for Disaster Management and Risk Reduction Technology (CEDIM), Geophysical Institute, Karlsruhe Institute of Technology, Hertzstrasse
16, 76187 Karlsruhe, Germany
James Edward Daniell
CORRESPONDING AUTHOR
Center for Disaster Management and Risk Reduction Technology (CEDIM), Geophysical Institute, Karlsruhe Institute of Technology, Hertzstrasse
16, 76187 Karlsruhe, Germany
The General Sir John Monash
Foundation, Level 5, 30 Collins Street, Melbourne, Victoria, 3000, Australia
Hing-Ho Tsang
Centre for Sustainable Infrastructure, Swinburne University of
Technology, Melbourne, Victoria, 3122, Australia
Friedemann Wenzel
Center for Disaster Management and Risk Reduction Technology (CEDIM), Geophysical Institute, Karlsruhe Institute of Technology, Hertzstrasse
16, 76187 Karlsruhe, Germany
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Cited
13 citations as recorded by crossref.
- A global spatialized approach to estimate residential building floor area and material stocks A. Foong et al. 10.1016/j.resconrec.2025.108398
- Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaíso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions J. Gómez Zapata et al. 10.3390/ijgi11020113
- Solving the difficult problem of hard to decarbonize homes R. Raslan & A. Ambrose 10.1038/s41560-022-01075-w
- Regional seismic risk assessment based on ground conditions in Uzbekistan V. Ismailov et al. 10.5194/nhess-24-2133-2024
- Unveiling vulnerabilities: Integrating socioeconomic and physical dimensions in residential exposure modelling M. Gaspari et al. 10.1016/j.ijdrr.2025.105557
- Seismic risk assessment based on residential building stock and field survey results: a case study of 3 cities in Shanxi Province Q. Wenhua et al. 10.3389/feart.2024.1424382
- Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai Z. Li et al. 10.5194/nhess-24-3977-2024
- Comparative analysis of the earthquake disaster risk of cities in Eastern China based on lethal levels – a case study of Yancheng City, Suqian City and Guangzhou City X. Chaoxu et al. 10.1080/19475705.2021.2009580
- A grid-level fixed-asset model developed for China from 1951 to 2020 D. Xin et al. 10.5194/nhess-25-1597-2025
- Estimating the economic loss caused by earthquake in Mainland China Y. Li et al. 10.1016/j.ijdrr.2023.103708
- Identifying Hard-to-Decarbonize houses from multi-source data in Cambridge, UK M. Sun & R. Bardhan 10.1016/j.scs.2023.105015
- Can we develop a more targeted approach to mitigating seismic risk? D. Xin et al. 10.1038/s44304-024-00020-z
- Characteristics and mechanism of a catastrophic landslide-debris flow disaster chain triggered by extreme rainfall in Shaanxi, China Z. Yu et al. 10.1007/s11069-024-06518-z
13 citations as recorded by crossref.
- A global spatialized approach to estimate residential building floor area and material stocks A. Foong et al. 10.1016/j.resconrec.2025.108398
- Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaíso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions J. Gómez Zapata et al. 10.3390/ijgi11020113
- Solving the difficult problem of hard to decarbonize homes R. Raslan & A. Ambrose 10.1038/s41560-022-01075-w
- Regional seismic risk assessment based on ground conditions in Uzbekistan V. Ismailov et al. 10.5194/nhess-24-2133-2024
- Unveiling vulnerabilities: Integrating socioeconomic and physical dimensions in residential exposure modelling M. Gaspari et al. 10.1016/j.ijdrr.2025.105557
- Seismic risk assessment based on residential building stock and field survey results: a case study of 3 cities in Shanxi Province Q. Wenhua et al. 10.3389/feart.2024.1424382
- Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai Z. Li et al. 10.5194/nhess-24-3977-2024
- Comparative analysis of the earthquake disaster risk of cities in Eastern China based on lethal levels – a case study of Yancheng City, Suqian City and Guangzhou City X. Chaoxu et al. 10.1080/19475705.2021.2009580
- A grid-level fixed-asset model developed for China from 1951 to 2020 D. Xin et al. 10.5194/nhess-25-1597-2025
- Estimating the economic loss caused by earthquake in Mainland China Y. Li et al. 10.1016/j.ijdrr.2023.103708
- Identifying Hard-to-Decarbonize houses from multi-source data in Cambridge, UK M. Sun & R. Bardhan 10.1016/j.scs.2023.105015
- Can we develop a more targeted approach to mitigating seismic risk? D. Xin et al. 10.1038/s44304-024-00020-z
- Characteristics and mechanism of a catastrophic landslide-debris flow disaster chain triggered by extreme rainfall in Shaanxi, China Z. Yu et al. 10.1007/s11069-024-06518-z
Latest update: 30 May 2025
Short summary
A grid-level residential building stock model (in terms of floor area and replacement value) targeted for seismic risk analysis for mainland China is developed by using census and population density data. Comparisons with previous studies and yearbook records indicate the reliability of our model. The modelled results are openly accessible and can be conveniently updated when more detailed census or statistics data are available.
A grid-level residential building stock model (in terms of floor area and replacement value)...
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