World Atlas of Natural Disaster Risk
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Advancements in natural resources global mapping and development of innovative methods and global databases now make it possible to better understand the intersection of wildfire activity and water resource availability at the global scale.
“However, several important advancements in natural resources global mapping [14] and the development of innovative methods and global databases now make it possible to better understand the intersection of wildfire activity [15,16] and water resource availability [17,18] at the scale of the planet.”
From A Global Index for Mapping the Exposure of Water Resources to Wildfire (2016) · cites this paper as [14]
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Munene, M. B., Swartling, Å. G., & Thomalla, F. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.01.021 · Cited by 105 · see citing works
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Du, S., He, C., Huang, Q., & Shi, P. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aaac07 · Cited by 83 · see citing works
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Eudave, R. R., & Ferreira, T. M. (2020) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2020.1844208 · Cited by 53 · see citing works
“In terms of global databases, some projects deserve to be highlighted in this context, such as the World Atlas of Natural Disaster Risk or the International Disaster Database (Shi and Kasperson 2015).”
BackgroundFlashflood-related mortality in southern France: first results from a new database
Vinet, F., Boissier, L., & Saint-Martin, C. (2016) · E3S Web of Conferences · doi:10.1051/e3sconf/20160706001 · Cited by 46 · see citing works
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Quesada‐Román, A., & Campos-Durán, D. (2022) · Papers in Applied Geography · doi:10.1080/23754931.2022.2081814 · Cited by 46 · see citing works
“Moreover, the lack of territorial management policies has resulted in significant urban sprawl across cities in the region (Sepúlveda and Petley 2015; Shi and Karsperson 2015).”
BackgroundAn automated machine learning approach for earthquake casualty rate and economic loss prediction
Chen, W., & Zhang, L. (2022) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2022.108645 · Cited by 46 · see citing works
Munpa, P., Kittipongvises, S., Phetrak, A., et al. (2022) · Water · doi:10.3390/w14101603 · Cited by 44 · see citing works
Challenges in Implementing Sendai Framework for Disaster Risk Reduction in Poland
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“Currently, there is also no strategy to manage the reduction of risk of natural hazards [2,3].”
BackgroundGlobal mortality risk assessment from river flooding under climate change
Zhang, J., Xu, W., Liao, X., Zong, S., & Liu, B. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abff87 · Cited by 43 · see citing works
Kenawy, A. E., Hereher, M. E., Robaa, S. M., McCabe, M. F., López‐Moreno, J. I., Domínguez‐Castro, F., Gaber, I. M., Al‐Awadhi, T., Buloshi, A. A., Nasiri, N. A., et al. (2020) · Remote Sensing · doi:10.3390/rs12233889 · Cited by 43 · see citing works
A Global Index for Mapping the Exposure of Water Resources to Wildfire
Robinne, F.-N., Miller, C., Parisien, M.-A., Emelko, M., Bladon, K., Silins, U., & Flannigan, M. (2016) · Forests · doi:10.3390/f7010022 · Cited by 41 · see citing works
“However, several important advancements in natural resources global mapping [14] and the development of innovative methods and global databases now make it possible to better understand the intersection of wildfire activity [15,16] and water resource availability [17,18] at the scale of the planet.”
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Mapping Forest Fire Risk at a Local Scale—A Case Study in Andalusia (Spain)
Villalta, I. V., Rodríguez-Navas, E., & Pérez, J. M. (2019) · Environments · doi:10.3390/environments6030030 · Cited by 33 · see citing works
de Oliveira‐Júnior, J. F., Shah, M., Abbas, A., Filho, W. L. F. C., da Silva, C. A., Santiago, D. D. B., Teodoro, P. E., MENDES, D. G., de Souza, A., Aviv‐Sharon, E., et al. (2022) · Sustainability · doi:10.3390/su14116935 · Cited by 31 · see citing works
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“According to the classical disaster risk assessment theory [36], risk is the function of hazard and vulnerability, in which vulnerability also was determined by the environmental stability, HABs’ exposure and sensitivity.”
BackgroundHistorical Data for Natural Hazard Risk Mitigation and Land Use Planning
Luino, F., Vallvé, M. B. I., Gizzi, F. T., et al. (2023) · Land · doi:10.3390/land12091777 · Cited by 27 · see citing works
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Douenne, T. (2020) · Review of Economic Dynamics · doi:10.1016/j.red.2020.04.007 · Cited by 23 · see citing works
The risk impacts of global natural and technological disasters
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“As a result, large areas of grain-producing cropland in South and Southeast China have been replaced by urbanization (J. Y. Liu et al., 2003) or converted to other land use types with higher economic returns (Cao, Lv, et al., 2014).”
BackgroundInfluentialAssessment of the Casualty Risk of Multiple Meteorological Hazards in China
Xu, W., Zhuo, L., Zheng, J., et al. (2016) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph13020222 · Cited by 20 · see citing works
Cognition of disaster risk in a tourism community: an agricultural heritage system perspective
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Self-citationApplication of the hidden Markov model in a dynamic risk assessment of rainstorms in Dalian, China
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“Shi and Kasperson (2015), Shi (2016) found that the amount of rainfall has decreased while the number of rainstorms has increased over the past 30 years in China, and the associated economic losses have increased sharply since the 1990s.”
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Santos, L. B. L., Londe, L. R., Carvalho, T., Menasché, D. S., & Vega‐Oliveros, D. A. (2019) · Springer eBooks · doi:10.1007/978-3-030-21205-6_10 · Cited by 18 · see citing works
Wang, W., He, S., Guo, H., et al. (2024) · International Journal of Disaster Risk Science · doi:10.1007/s13753-024-00591-5 · Cited by 15 · see citing works
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Liu, X., Zhang, G., Jie Lu, B., & Zhang, J. (2019) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2019.01.011 · Cited by 15 · see citing works
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Onsay, E. A., Bulao, R. J., & Rabajante, J. F. (2025) · Natural Hazards Research · doi:10.1016/j.nhres.2025.02.004 · Cited by 14 · see citing works
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Li, Y., Xu, S., Fan, Z., Zhang, X., Yang, X., Wen, S., & Shi, Z. (2022) · Remote Sensing · doi:10.3390/rs15010042 · Cited by 14 · see citing works
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Karami, S., Hamzeh, N. H., Alam, K., & Abadi, A. R. S. (2019) · Journal of Atmospheric and Solar-Terrestrial Physics · doi:10.1016/j.jastp.2019.105149 · Cited by 13 · see citing works
Chinese Built-up Land in Floodplains Moving Closer to Freshwaters
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Fu, G., Cao, C., Fu, K., et al. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.1061769 · Cited by 12 · see citing works
“(Jones and Phillips, 2011; Shi and Kasperson, 2015).”
Aleksandrov, A. A., Ksenofontov, B. S., Козодаев, А. С., et al. (2023) · Electronics · doi:10.3390/electronics12081937 · Cited by 12 · see citing works
Quantitative Multi-Hazard Risk Assessment of Crop Loss in the Yangtze River Delta Region of China
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Self-citationKong, F. (2020) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12302 · Cited by 11 · see citing works
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The 2023 Earthquake in Türkiye and Implications for China’s Response to Catastrophe
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“…the most direct economic losses are in China, resulting in total direct economic losses of USD 2.12875 trillion (comparable prices in 2021), which accounts for 15.7% of the total direct economic losses of the top 50 globally (Shi et al. 2014; Shi and Kasperson 2015; Shi et al. 2016; Shi 2022).”
InfluentialSelf-citationEvent-based probabilistic risk assessment of livestock snow disasters in the Qinghai–Tibetan Plateau
Ye, T., Liu, W., Wu, J., et al. (2019) · Natural hazards and earth system sciences · doi:10.5194/nhess-19-697-2019 · Cited by 9 · see citing works
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“A cold wave is one of the major extreme climate events that threaten the life and property of people around the world [14].”
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A global perspective on cold wave disasters
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Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia
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The Construction of an Intelligent Risk-Prevention System for Marine Silk Road
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“However, the establishment of marine information sharing mechanism, along with the rapid development of information technology and the increasingly frequent and close economic exchanges between countries, enables countries alongside the road to effectively avoid the risk of international marine disasters [11] which th…”
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BackgroundA UNIFIED RISK INDEX FOR NATURAL DISASTERS
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Global disaster risk assessment from Emergency Events Database (2013–2023)
Kong, Q., & Zhu, E. (2026) · Natural hazards and earth system sciences · doi:10.5194/nhess-26-4881-2026
- Authors
- Shi, P., & Kasperson, R. E.
- Affiliations
- Beijing Normal University (CN)
- Clark University (US)
- ORCID
- Peijun Shi
- Venue
- IHDP/Future Earth-Integrated Risk Governance Project Series
- Publisher
- Springer Berlin Heidelberg
- Published
- 2015
- ISSN
- 2363-4979 (ISSN-L)
- 2363-4987
- OpenAlex
- W4233283196
- Cited by
- 98
- References
- 0
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 7 · 2023: 9 · 2022: 13 · 2021: 11 · 2020: 12 · 2019: 15 · 2018: 8 · 2017: 4 · 2016: 8 · 2013: 1
- FWCI
- 6.32
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- Locations
- IHDP/Future earth-integrated risk governance project series (publishedVersion)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
- Social Sciences › Transportation › Earthquake and Disaster Impact Studies
- Keywords
- natural disaster risk, hazard mapping, vulnerability mapping, risk mapping, earthquakes, volcanoes, landslides, floods, storms, environmental mapping
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