IPO-Based Evaluation of Sustainable Postdisaster Recovery from Stakeholder Perspectives of the Lushan Earthquake
Abstract
Assessing disaster resilience is one of the important research issues for disaster risk management. The process of postdisaster recovery (PDR) involves multiple stakeholders, and their expectations and engagement are considered a key factor for the success of PDR projects. This paper is oriented toward sustainable development, combined with the demands of many stakeholders, and proposes a comprehensive recovery evaluation that considers the sustainability of community resilience. Based on internet public opinion (IPO), a novel method integrating a modified analytic hierarchy process (AHP) and hesitant fuzzy linguistics (HFL) is introduced to guarantee multiple stakeholders’ engagement. Specifically, literature research and field interviews are combined with IPO data using text mining techniques to establish evaluation indices. The evaluation results indicate that the overall recovery level of the Lushan earthquake is between fairly and slightly good. It reveals that balances between social (e.g., infrastructure reconstruction, public services and economic recovery, etc.) and individual aspects (e.g., housing allowance, life recovery, mental health, etc.) are needed for recovery improvements. Moreover, housing is regarded as the most urgent and critical task in PDR. Accordingly, increasing requirements for the protection of intangible heritages are anticipated. Finally, possible policies on recovery and poverty alleviation are recommended.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. Data collected through interviews were sensitive in nature and may only be provided with restrictions. Therefore, these are kept anonymous to ensure the social security of the participants and interviewees. Items that are kept anonymous include interviews of local inhabitants, and focus group discussions. Other data, models, or code that support the findings of this study are available from the corresponding author by request.
Acknowledgments
This research is funded by National Natural Science Foundation of China (Grant No. 72104165), the Open Fund of Sichuan Province Cyclic Economy Research Center (Grant No. XHJJ-2105), the Research Center of Sichuan County Economy Development (Grant No. xy2021012), and the foundation of Chengdu Science and Technology (Grant No. 2019-RK00-00311-ZF).
References
Akguen, I., F. Guemuesbuga, and T. Barbaras. 2015. “Risk based facility location by using fault tree analysis in disaster management.” Omega-Int. J. Manage. Sci. 52 (Apr): 168–179. https://doi.org/10.1016/j.omega.2014.04.003.
Albright, E. A., and D. A. Crow. 2015. “Learning processes, public and stakeholder engagement: Analyzing responses to Colorado’s extreme flood events of 2013.” Urban Clim. 14 (Dec): 79–93. https://doi.org/10.1016/j.uclim.2015.06.008.
Alexander, D. E. 2014. “Social media in disaster risk reduction and crisis management.” Sci. Eng. Ethics 20 (3): 717–733. https://doi.org/10.1007/s11948-013-9502-z.
Bu, W. W., Z. W. Yan, and H. Y. Yu. 2021. “Research on organization and coordination management of post-disaster reconstruction project based on stakeholder theory.” Supplement, Constr. Econ. 42 (S1): 261–264. https://doi.org/10.14181/j.cnki.1002-851x.2021S1261.
CCTV (China Central Television). 2013. “Lushan quake death tool reaches 188.” Accessed August 11, 2018. http://english.cntv.cn/program/newsupdate/20130422/102664.shtml(a).
Chang, S. E., and A. Falit-Baiamonte. 2002. “Disaster vulnerability of businesses in the 2001 nisqually earthquake.” Global Environ. Change Part B: Environ. Hazards 4 (2–3): 59–71. https://doi.org/10.1016/S1464-2867(03)00007-X.
Chen, J., M. He, and W. Liu. 2011. “An empirical study on centralized resettlement of post-disaster reconstruction farmers—A case study of Baoshan village in Pengzhou City.” Agric. Archaeol. (4): 363–366.
Cox, R. S., and K.-M. E. Perry. 2011. “Like a fish out of water: Reconsidering disaster recovery and the role of place and social capital in community disaster resilience.” Am. J. Community Psychol. 48 (3–4): 395–411. https://doi.org/10.1007/s10464-011-9427-0.
Cox, S., and M. Hamlen. 2015. “Community disaster resilience and the rural resilience index.” Am. Behav. Sci. 59 (2): 220–237. https://doi.org/10.1177/0002764214550297.
Dunford, M., and L. Li. 2011. “Earthquake reconstruction in Wenchuan: Assessing the state overall plan and addressing the ‘forgotten phase’.” Appl. Geogr. 31 (3): 998–1009. https://doi.org/10.1016/j.apgeog.2011.01.001.
Fang, Y. P., F. B. Zhu, X. P. Qiu, and S. Zhao. 2018. “Effects of natural disasters on live-lihood resilience of rural residents in Sichuan.” Habitat Int. 76 (Jun): 19–28. https://doi.org/10.1016/j.habitatint.2018.05.004.
Gan, L., and J. P. Xu. 2014. “Retrofitting transportation network using a fuzzy random multiobjective bilevel model to hedge against seismic risk.” In Abstract and applied analysis, 1–24. London: Hindawi. https://doi.org/10.1155/2014/505890.
Gao, L., X. Hu, C. Ma, H. Kuang, H. Qi, and Z. He. 2020. “Geoenvironmental risk evaluation of high-efficiency eco-economic zone in Weifang City, China.” Nat. Hazards Rev. 21 (3): 05020005. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000384.
Guo, Y. 2012. “Urban resilience in post-disaster reconstruction: Towards a resilient development in Sichuan, China.” Int. J. Disaster Risk Sci. 3 (1): 45–55. https://doi.org/10.1007/s13753-012-0006-2.
Hashemi-Parast, S. O., F. Yamazaki, and W. Liu. 2017. “Monitoring and evaluation of the urban reconstruction process in bam, Iran, after the 2003 mw 6.6 earthquake.” Nat. Hazard. 85 (1): 197–213. https://doi.org/10.1007/s11069-016-2573-9.
He, L. L., C. A. Jonathan, H. Karen, and Y. Chen. 2018. “Building new houses or long-term recovery? A combination of quantitative and qualitative evidence from earthquake-displaced households in Sichuan, China.” Habitat Int. 83 (Mar): 135–145. https://doi.org/10.1016/j.habitatint.2018.12.002.
Honjo, Y. 2011. “Implementation of the Kobe City recovery plan.” Jpn. Social Innovation J. 1 (1): 1–11. https://doi.org/10.12668/jsij.1.1.
Horney, J., C. Dwyer, M. Aminto, P. Berke, and G. Smith. 2017. “Developing indicators to measure post-disaster community recovery in the United States.” Disasters 41 (1): 124–149. https://doi.org/10.1111/disa.12190.
Houston, J. B., J. Hawthorne, M. F. Perreault, E. H. Park, M. G. Hode, M. R. Halliwell, and S. A. Griffith. 2015. “Social media and disasters: A functional framework for social media use in disaster planning, response, and research.” Disasters 39 (1): 1–22. https://doi.org/10.1111/disa.12092.
Hu, T., S. Xu, and W. Liu. 2018. “A senior high school-based survey on the long-term impact of the Wenchuan earthquake on survivors’ quality of life: PTSD as a mediator.” Psychiatry Res. 270 (Aug): 310–316. https://doi.org/10.1016/j.psychres.2018.09.043.
Huang, J. W., D. Wang, Z. Y. Liao, H. M. Pan, and R. Zhang. 2016. “Evaluation on engineering quality of post-earthquake reconstruction residential buildings based on combined weight method and cloud theory.” J. Saf. Sci. Technol. 12 (3): 127–132. https://doi.org/10.11731/j.issn.1673-193x.2016.03.023.
Huang, Y., and H. Wong. 2014. “Impacts of sense of community and satisfaction with governmental recovery on psychological status of the Wenchuan earthquake survivors.” Social Indic. Res. 117 (2): 421–436. https://doi.org/10.1007/s11205-013-0354-3.
Kamboj, S., B. Sarmah, S. Gupta, and Y. Dwivedi. 2018. “Examining branding co-creation in brand communities on social media: Applying the paradigm of stimulus-organism-response.” Int. J. Inf. Manage. 39 (Apr): 169–185. https://doi.org/10.1016/j.ijinfomgt.2017.12.001.
Lam, L. M., and R. Kuipers. 2018. “Resilience and disaster governance: Some insights from the 2015 Nepal earthquake.” Int. J. Disaster Risk Reduct. 33 (Mar): 321–331. https://doi.org/10.1016/j.ijdrr.2018.10.017.
Lara, A., L. F. Reyes, J. Moreno, P. Quilodrán, and K. Sánchez. 2018. “Designing happiness? a close-up to the housing reconstruction process after the Chile earthquake and tsunami, on 27 February 2010.” Nat. Hazard. 91 (2): 537–551. https://doi.org/10.1007/s11069-017-3139-1.
Li, G., S. Peng, and L. Yang. 2013. “The efficiency evaluation of post-disaster reconstruction policy-from the angle of Sichuan earthquake—Afflicted people.” Soft Sci. 27 (8): 132–135. https://doi.org/10.3969/j.issn.1001-8409.2013.08.028.
Li, X. 2017. “The Chinese model of post-disaster recovery and reconstruction—The process, experience and enlightenment of post-disaster reconstruction in Lushan Earthquake on 4.20.” City Disaster Reduct. 3 (Feb): 14–17. https://doi.org/10.3969/j.issn.1671-0495.2017.03.006.
Liu, H., D. Zhang, Q. Wei, and Z. Guo. 2017. “Comparison study on two post-earthquake rehabilitation and reconstruction modes in China.” Int. J. Disaster Risk Reduct. 23 (Aug): 109–118. https://doi.org/10.1016/j.ijdrr.2017.04.016.
Liu, P., and R. Wang. 2019. “Public attitudes toward technological hazards after a technological disaster.” Disaster Prev. Manage. 28 (2): 216–227. https://doi.org/10.1108/DPM-08-2018-0244.
Lu, Y., and J. P. Xu. 2015. “Comparative study on the key issues of postearthquake recovery and reconstruction planning: Lessons from the United States, Japan, Iran, and China.” Nat. Hazards Rev. 16 (3): 04014033. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000172.
Lyu, H. M., S. L. Shen, J. Yang, and A. N. Zhou. 2020. “Risk assessment of earthquake-triggered geohazards surrounding Wenchuan, China.” Nat. Hazards Rev. 21 (3): 05020007. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000375.
Miles, S. B. 2011. “The role of critical infrastructure in community resilience to disasters.” In Proc., Structures Congress 2011, 1985–1995. Reston, VA: ASCE. https://doi.org/10.1061/41171(401)173.
Neppalli, V. K., C. Caragea, A. Squicciarini, A. Tapia, and S. Stehle. 2017. “Sentiment analysis during hurricane sandy in emergency response.” Int. J. Disaster Risk Reduct. 21 (Mar): 213–222. https://doi.org/10.1016/j.ijdrr.2016.12.011.
Ningbo Municipal Emergency Management Bureau. 2018. “Lushan Earthquake in Sichuan.” Accessed April 20, 2013. https://yjglj.ningbo.gov.cn/art/2018/10/15/art_1229076331_45253207.html.
Pagani, M., et al. 2018. “Global Earthquake Model (GEM) seismic hazard map (version 2018.1—December 2018).” Accessed July 10, 2020. https://doi.org/10.13117/GEM-GLOBAL-SEISMIC-HAZARD-MAP-2018.1.
Peng, Y., F. Zhang, S. Jiang, L. Huang, and Y. Xu. 2018. “Analysis of farmers’ satisfaction towards concentrated rural settlement development after the Wenchuan earthquake.” Int. J. Disaster Risk Reduct. 31 (Aug): 160–169. https://doi.org/10.1016/j.ijdrr.2018.04.025.
Perwaiz, A., and S. Sinha. 2018. “20—Post disaster needs assessment for resilient recovery using space applications and innovative technologies.” In Science & technology in disaster risk reduction in Asia, 343–365. Cambridge, UK: Academic Press.
Peterson, L. S., P. Salmon, C. Baldwin, and N. Goode. 2015. “Deconstructing the concept of shared responsibility for disaster resilience: A Sunshine Coast case study, Australia.” Nat. Hazard. 79 (2): 755–774. https://doi.org/10.1007/s11069-015-1871-y.
Saaty, T. L. 1977. “A scaling method for priorities in hierarchical structures.” J. Math. Psychol. 15 (3): 234–281. https://doi.org/10.1016/0022-2496(77)90033-5.
Sadiqi, Z., B. Trigunarsyah, and V. Coffey. 2016. “A framework for community participation in post-disaster housing reconstruction projects: A case of Afghanistan.” Int. J. Project Manage. 35 (5): 900–912. https://doi.org/10.1016/j.ijproman.2016.11.008.
Samaddar, S., J. Choi, B. A. Misra, and H. Tatano. 2015. “Insights on social learning and collaborative action plan development for disaster risk reduction: Practicing Yonmenkaigi System Method (YSM) in flood-prone Mumbai.” Nat. Hazard. 75 (2): 1531–1554. https://doi.org/10.1007/s11069-014-1380-4.
Saunders, W. S. A., and J. S. Becker. 2015. “A discussion of resilience and sustainability: Land use planning recovery from the Canterbury earthquake sequence, New Zealand.” Int. J. Disaster Risk Reduct. 14 (Jul): 73–81. https://doi.org/10.1016/j.ijdrr.2015.01.013.
Shan, S., F. Zhao, Y. Wei, and M. Liu. 2019. “Disaster management 2.0: A real-time disaster damage assessment model based on mobile social media data—A case study of Weibo (Chinese Twitter).” Saf. Sci. 115 (Jun): 393–413. https://doi.org/10.1016/j.ssci.2019.02.029.
Simpson, M., R. James, and J. Hall. 2016. “Decision analysis for management of natural hazards.” Annu. Rev. Environ. Resour. 41 (1): 489–516. https://doi.org/10.1146/annurev-environ-110615-090011.
Su, H. 2019. “Quality evaluation of post-earthquake recovery and reconstruction projects based on Matlab AHP.” China Earthquake Eng. J. 41 (3): 793–799. https://doi.org/10.3969/j.issn.1000-0844.2019.03.793.
Tagliacozzo, S., and M. Magni. 2016. “Communicating with communities (cwc) during post-disaster reconstruction: An initial analysis.” Nat. Hazard. 84 (3): 2225–2242. https://doi.org/10.1007/s11069-016-2550-3.
Takeuchi, K., T. Elmqvist, M. Hatakeyama, J. Kauffman, N. Turner, and D. Zhou. 2014. “Using sustainability science to analyse social-ecological restoration in NE Japan after the great earthquake and tsunami of 2011.” Sustainability Sci. 9 (4): 513–526. https://doi.org/10.1007/s11625-014-0257-5.
Tang, M., and H. Liao. 2019. “From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey.” Omega-Int. J. Manage. Sci. 100 (Apr): 102–141. https://doi.org/10.1016/j.omega.2019.102141.
The World Bank. 2016. “China-Lushan earthquake reconstruction and risk reduction project.” Accessed August 8, 2018. https://documents.worldbank.org/curated/en/537161476583250514/China-LushanEarthquake-Reconstruction-and-Risk-Reduction-Project.
Tianditu. 2020. “Map of Lushan.” Accessed July 10, 2020. https://sichuan.tianditu.gov.cn/map/.
UNESCO (United Nation Educational, Scientific and Cultural Organization). 2016. “Culture urban future: Global report on culture for sustainable urban development.” Accessed July 15, 2018. https://unesdoc.unesco.org/images/0024/002462/246291E.pdf.
UNISDR (United Nations International Strategy for Disaster Reduction). 2015. “Sendai framework for disaster risk reduction 2015–2030.” Accessed July 18, 2018. https://www.unisdr.org/files/43291_sendaiframeworkfordrren.pdf.
Vallance, S. 2015. “Disaster recovery as participation: Lessons from the Shaky Isles.” Nat. Hazard. 75 (2): 1287–1301. https://doi.org/10.1007/s11069-014-1361-7.
Wang, Y., Z. Zou, and J. Li. 2015. “Influencing factors of households disadvantaged in post-earthquake life recovery: A case study of the Wenchuan earthquake in China.” Nat. Hazard. 75 (2): 1853–1869. https://doi.org/10.1007/s11069-014-1400-4.
Ward, S. M., M. Leitner, and J. Pine. 2010. “Investigating recovery patterns in post disaster urban settings: Utilizing Geospatial technology to understand post-hurricane Katrina recovery in New Orleans, Louisiana.” In Geospatial techniques in urban hazard and disaster analysis, edited by P. S. Showalter and Y. Lu, 355–372. Dordrecht, Netherlands: Springer.
Wu, H. R., and C. P. Hou. 2019. “Utilizing co-design approach to identify various stakeholders’ roles in the protection of intangible place-making heritage: The case of Guchengping Village.” Disaster Prev. Manage. 29 (1): 22–35. https://doi.org/10.1108/DPM-09-2018-0291.
Xu, Z. 2014. Hesitant fuzzy set theory. Berlin: Springer.
Xu, Z. S. 2005. “An overview of methods for determining owa weights: Research articles.” Int. J. Intell. Syst. 20 (8): 843–865. https://doi.org/10.1002/int.20097.
Yang, H. B., D. Thomas, W. Yang, J. D. Zhang, and J. G. Liu. 2018. “Changes in human well-being and rural livelihoods under natural disasters.” Ecol. Econ. 151 (Feb): 184–194. https://doi.org/10.1016/j.ecolecon.2018.05.008.
Yang, Y., P. Gao, and H. Li. 2017a. “Residents’ satisfaction to post-Wenchuan earthquake recovery and reconstruction.” Nat. Hazard. 87 (3): 1847–1858. https://doi.org/10.1007/s11069-017-2852-0.
Yang, Y. Q., B. M. Chi, J. F. Hu, and J. X. Yan. 2014. “Post-evaluation frame system of post-earthquake recovery and reconstruction.” J. Catastrophology 29 (1): 18–24. https://doi.org/10.3969/j.issn.1000-811X.2014.01.004.
Yang, Y. Q., J. D. Guo, and Z. X. Yuan. 2017b. “Influence-factors analysis of post-earthquake recovery and reconstruction based on ISM.” Math. Pract. Theory 47 (11): 26–34.
Zhai, J., and H. B. Zhang. 2015. “Sustained recovery from catastrophes: A case study of the ‘Wenchuan Earthquake’ counterpart support policy.” J. Beijing Admin. College 2015 (1): 15–22. https://doi.org/10.3969/j.issn.1008-7621.2015.01.003.
Zhang, R. 2012. “Exploring the public participation mechanism for post-disaster reconstruction projects.” Project Manage. Technol. 10 (5): 68–72. https://doi.org/10.3969/j.issn.1672-4313.2012.05.013.
Zhang, Y., J. Chen, Y. Yang, H. Li, X. Zheng, X. Chen, B. Liu, T. Ren, and N. Xiong. 2020. “COVID-19 public opinion and emotion monitoring system based on time series thermal new word mining.” CMC-Comput. Mater. Continua 64 (3): 1415–1434. https://doi.org/10.32604/cmc.2020.011316.
Zhou, G. 2013. “Valuation of earthquake loss and key technical index of restoration and reconstruction in Yunnan.” J. Seismol. Res. 36 (2): 207–214. https://doi.org/10.3969/j.issn.1000-0666.2013.02.012.
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Published In
Natural Hazards Review
Volume 24 • Issue 2 • May 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jan 3, 2022
Accepted: Sep 26, 2022
Published online: Feb 11, 2023
Published in print: May 1, 2023
Discussion open until: Jul 11, 2023
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Business management
- Computer networks
- Computer programming
- Computing in civil engineering
- Decision making
- Disaster preparedness
- Disaster recovery
- Disaster risk management
- Disasters and hazards
- Earthquakes
- Fuzzy logic
- Geohazards
- Geotechnical engineering
- Internet
- Natural disasters
- Political factors
- Practice and Profession
- Public administration
- Public opinion and participation
- Sustainable development
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