Post-disaster recovery systems: A systematic review of the Wenchuan earthquake

Saqib, Zulkaif Ahmed; Yibin, Ao; Jianjun, Zhao; Panyu, Peng

doi:10.5194/egusphere-2026-2334

Preprints

https://doi.org/10.5194/egusphere-2026-2334

Preprints

16 Jul 2026

| 16 Jul 2026

Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Post-disaster recovery systems: A systematic review of the Wenchuan earthquake

Zulkaif Ahmed Saqib, Ao Yibin, Zhao Jianjun, and Peng Panyu

Abstract. Wenchuan earthquake is one of the most extensively studied large-scale disaster-recovery scenarios, providing a unique empirical basis for understanding the design, implementation, and sustainability of complex recovery systems. However, governance, infrastructural, social, economic, and environmental research is fragmented, limiting system-level knowledge of post-disaster recovery processes. Addressing this gap, a systematic analysis of 735 peer-reviewed articles from 2008 to 2025 aims to synthesize interdisciplinary evidence on post-disaster recovery. The PRISMA-guided assessment incorporates interdisciplinary insights into governance, infrastructure reconstruction, social recovery, livelihood regeneration, environmental restoration, and technology innovation. Institutional capabilities, resource mobilization, and risk circumstances alter recovery as a dynamic system-level transformation. Governance coordinates sectoral policymaking. Centrally coordinated systems, particularly the paired-assistance model and large-scale financing, enabled rapid and complete reconstruction in Wenchuan. The research also indicates coordination inefficiencies, uneven recovery outcomes, and policy goals that don't fit local realities. The review reveals that social and environmental variables affect long-term rehabilitation beyond physical recovery. Psychosocial rehabilitation, community cohesion, and livelihood stability take longer than infrastructure restoration and are seldom planned. Landslides and debris flows influenced recovery over time in dynamic hazard settings. To remedy such shortcomings, a governance-mediated post-disaster recovery paradigm, defined by enabling conditions and structural constraints, is proposed. The approach links policy tools to cross-domain recovery processes and emphasizes adaptive learning and long-term resilience to increase understanding. Future catastrophe recovery methods must combine rapid rebuilding with high-quality coordination, social inclusion, environmental risk management, and system resilience, as shown by the Wenchuan experience.

Received: 23 Apr 2026 – Discussion started: 16 Jul 2026

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.

Download & links

Zulkaif Ahmed Saqib, Ao Yibin, Zhao Jianjun, and Peng Panyu

Status: open (extended)

Post a comment Subscribe to comment alert

RC1:
'Comment on egusphere-2026-2334', Anonymous Referee #1, 21 Sep 2026 reply
I would like to thank the editor for the opportunity to review the manuscript entitled “Post-disaster recovery systems: A systematic review of the Wenchuan earthquake”. The manuscript provides a systematic review of 735 studies concerning the 2008 Wenchuan earthquake and synthesizes their main findings. The review itself addresses an important topic and has the potential to provide a useful contribution to the literature. However, in its current form, I do not believe that the synthesis is sufficient, for the following reasons:
The manuscript lacks clearly defined objectives. It is difficult to understand from the Introduction section, particularly from its concluding paragraph (lines 71–85), what exactly the authors aim to achieve. The structure gives the impression that the review may have been conducted first and that the objectives were formulated retrospectively based on the results obtained. Thus, the reader is left uncertain about the purpose of the study and is required, only later and after reading the Methods section, to effectively reconstruct the objectives through a process of reverse engineering. Beyond the lack of clearly stated objectives, the manuscript does not formulate explicit research questions or hypotheses to be examined. This further weakens the conceptual framework of the study and makes it difficult for the reader to understand what specific questions the review is intended to address.

I am not entirely convinced where the scientific novelty of the manuscript lies. One possible contribution may be methodological, particularly in demonstrating how systematic review studies can now be conducted in the era of AI. However, the authors do not provide sufficient details on how the review process was carried out, making it difficult to assess whether there is indeed a meaningful methodological innovation. From a theoretical and/or practical point of view, the novelty is also difficult to detect. The manuscript does not provide a sufficiently developed discussion of its contribution to existing knowledge while the Conclusions section is too limited to clarify what is genuinely new or significant about the study. The authors should therefore articulate much more explicitly the manuscript’s methodological, theoretical (and practical)

The Methodology section is incomplete and lacks sufficient clarity and transparency. For example, it is not explicitly stated whether the review was conducted directly by the authors with the assistance of artificial intelligence or through some combination of the two. Although this may be inferred from the manuscript, such an important methodological aspect should be stated explicitly. Another example is associated with the nodes and thematic categories that one cannot understand how they were defined, selected or developed. The manuscript should explain the criteria and decision rules used to identify and organize these themes. Similarly, the screening process is insufficiently described. The authors report that the initial pool of approximately 5,700 publications was reduced to 735 studies but the inclusion and exclusion criteria (besides duplicative considerations) underlying this substantial reduction are not presented in sufficient detail.

Data availability is another concern. It is unclear why the underlying data used for the review are not made available to readers. Providing access to the dataset would substantially improve the transparency and reproducibility of the study.

The entire section between the Methodology and the Conclusions reads largely as a categorized summary of the literature with no systematic/statistic/analytical synthesis.

The authors do not sufficiently explain why this synthesis is important, what can be learned or derived from it and, most importantly, where its novelty lies. In addition, the manuscript does not specify the benchmarks or criteria used to assess the reliability, accuracy and relevance of the individual studies included in the review. Were some studies considered more reliable or methodologically robust than others? Were there studies that contradicted one another? Were any findings found to be inaccurate, unsupported or inconsistent with the broader body of evidence? At present, it is difficult to determine from the manuscript whether such differences were identified and how they were evaluated.

The manuscript does not include a dedicated Discussion section. In my view, such a section is essential in a review article, particularly for addressing several of the issues raised above. The authors should move beyond summarizing the reviewed literature and provide a critical interpretation of the main patterns, agreements, contradictions, limitations and broader implications emerging from the body of evidence.

The Conclusions section currently looks as a shortened summary of the preceding synthesis rather than as a section that draws out the broader significance of the review. It remains unclear what has been learned from this review that was not already known from the existing literature.

Regardless of how the text was produced, the manuscript would benefit from substantial linguistic and stylistic revision. The authors should aim for more concise writing while reducing repetitions and cumbersome phrasing

Reply
Citation: https://doi.org/10.5194/egusphere-2026-2334-RC1
- AC1:
  'Reply on RC1', Yibin Ao, 20 Oct 2026 reply
  Comments:
  I would like to thank the editor for the opportunity to review the manuscript entitled “Post-disaster recovery systems: A systematic review of the Wenchuan earthquake”. The manuscript provides a systematic review of 735 studies concerning the 2008 Wenchuan earthquake and synthesizes their main findings. The review itself addresses an important topic and has the potential to provide a useful contribution to the literature. However, in its current form, I do not believe that the synthesis is sufficient, for the following reasons:
  Response: We sincerely thank the reviewer for the constructive assessment and for recognizing the importance and potential contribution of this systematic review. We agree that the previous version required a stronger analytical synthesis across the diverse evidence base.
  C1: The manuscript lacks clearly defined objectives. It is difficult to understand from the Introduction section, particularly from its concluding paragraph (lines 71–85), what exactly the authors aim to achieve. The structure gives the impression that the review may have been conducted first and that the objectives were formulated retrospectively based on the results obtained. Thus, the reader is left uncertain about the purpose of the study and is required, only later and after reading the Methods section, to effectively reconstruct the objectives through a process of reverse engineering. Beyond the lack of clearly stated objectives, the manuscript does not formulate explicit research questions or hypotheses to be examined. This further weakens the conceptual framework of the study and makes it difficult for the reader to understand what specific questions the review is intended to address.
  Response: Dear reviewer, thank you for the careful and constructive assessment about objectives. We have carefully revised the introduction section.
  The current systematic review aims to synthesize and critically assess the evidence on post-disaster recovery and reconstruction following the 2008 Wenchuan earthquake. Although the Wenchuan literature is extensive, evidence remains dispersed across governance, infrastructure, social and psychosocial recovery, livelihoods, environmental risk, and technology-related research. A systematic synthesis is therefore needed to clarify how these domains collectively shaped recovery processes and long-term outcomes. The current review has four research objectives; first, it maps the thematic composition of the Wenchuan recovery evidence base. To complete the first objective, the current review investigates how published evidence on post-disaster recovery and reconstruction after the Wenchuan earthquake is distributed across major thematic domains? (RQ1). Secondly, it synthesizes findings from governance and policy, infrastructure rebuilding, social recovery, livelihood regeneration, environmental restoration, and technology-enabled recovery. To accomplish this, the review addresses the following research question: How does the evidence show governance, infrastructure, social recovery, livelihoods, environmental risk management, and technological recovery outcomes? (RQ2). Thirdly, the current review identifies the enabling conditions, trade-offs, inequalities, and persistent risks that shaped recovery outcomes over time. So, to address the third objective, it will investigate which enabling conditions and structural constraints shaped the effectiveness, equity, and long-term resilience of recovery (RQ3). Lastly, current work unifies recovery topics and prioritizes research and post-disaster policy by addressing (RQ4), which will show what integrated lessons, research gaps, and policy priorities emerge from the Wenchuan recovery experience. (line 71-91)
  The revised Introduction now presents four research questions:
  How has research on Wenchuan earthquake recovery developed across time, disciplines, and thematic domains?
  What evidence has been reported on governance, reconstruction, social recovery, livelihoods, environmental risk, and technology-enabled recovery?
  How do governance arrangements, institutional capacity, resource mobilisation, and local implementation shape relationships among recovery domains?
  What evidence gaps, tensions, and future research priorities emerge from the combined literature?
  Revisions to objectives and research questions precede databases, screening, thematic categorization, and analytical approaches.
  C2: I am not entirely convinced where the scientific novelty of the manuscript lies. One possible contribution may be methodological, particularly in demonstrating how systematic review studies can now be conducted in the era of AI. However, the authors do not provide sufficient details on how the review process was carried out, making it difficult to assess whether there is indeed a meaningful methodological innovation. From a theoretical and/or practical point of view, the novelty is also difficult to detect. The manuscript does not provide a sufficiently developed discussion of its contribution to existing knowledge while the Conclusions section is too limited to clarify what is genuinely new or significant about the study. The authors should therefore articulate much more explicitly the manuscript’s methodological, theoretical (and practical)
  Response: Respected reviewer, thanks for your helpful feedback. We have heavily edited the manuscript to clarify its scientific contribution in the Introduction, Methodology, Discussion, and Conclusions.
  C3: The Methodology section is incomplete and lacks sufficient clarity and transparency. For example, it is not explicitly stated whether the review was conducted directly by the authors with the assistance of artificial intelligence or through some combination of the two. Although this may be inferred from the manuscript, such an important methodological aspect should be stated explicitly. Another example is associated with the nodes and thematic categories that one cannot understand how they were defined, selected or developed. The manuscript should explain the criteria and decision rules used to identify and organize these themes. Similarly, the screening process is insufficiently described. The authors report that the initial pool of approximately 5,700 publications was reduced to 735 studies but the inclusion and exclusion criteria (besides duplicative considerations) underlying this substantial reduction are not presented in sufficient detail.
  Response: Thank you for your kind comment. Dear reviewer, we have improved the methodology section and made each step of the current review transparent. The authors conducted the review directly. We did not use generative artificial intelligence tools for literature searching, record screening, eligibility assessment, data extraction, thematic classification, keyword-network analysis, interpretation, or synthesis. All methodological decisions and final inclusion decisions were made by the authors.
  Please note that the review process followed a structured PRISMA-based workflow. It focused on the 2008 Wenchuan earthquake to provide a clear picture of the recovery literature and scholars' work. For example, we retrieved records from Web of Science and Scopus, merged them, and screened them sequentially for duplicates, document type, abstract availability, relevance to the 2008 Wenchuan earthquake, and a substantive focus on post-disaster recovery or reconstruction. Figure 2 explains the PRISMA process. The PRISMA flow diagram reports the number of records excluded and retained at every stage, from 5,707 retrieved records to 735 included studies. During eligibility assessment, we excluded records when the available information indicated a primary focus on hazard processes, technical engineering, or other topics without sufficient recovery-related evidence.
  C4: Data availability is another concern. It is unclear why the underlying data used for the review are not made available to readers. Providing access to the dataset would substantially improve the transparency and reproducibility of the study.
  Response: Respected Reviewer, Thank you for raising the issue of data availability. We agree that access to the underlying data is important for transparency and reproducibility. The final dataset used in the review, including the 735 included records, bibliographic information, thematic categories, and keyword-related data, has been provided as supplementary material. The R code used to generate the keyword co-occurrence network presented in Figure 3 is also included with the supporting data files. The revised data-availability statement now directs readers to the supplementary materials, allowing inspection and reproduction of the review dataset and network analysis.
  C5: The entire section between the Methodology and the Conclusions reads largely as a categorized summary of the literature with no systematic/statistic/analytical synthesis.
  Response: Dear Reviewer, thank you for the important observation. The revised manuscript now includes a dedicated section entitled “12. Systematic Cross-Domain Analysis of Post-Disaster Recovery Evidence.” The new section synthesizes relationships across 735 studies and goes beyond topic description. Five integrated findings emerge: governance's role in linking reconstruction and recovery quality; rapid physical rebuilding versus long-term social and economic recovery; unequal recovery pathways among communities; persistent environmental risks affecting reconstruction; and limited evidence on technology's effects on recovery decisions. Table 5 clearly summarizes the primary findings, collective evidence, and importance for recovery research and practice.
  Systematic Cross-Domain Analysis of Post-Disaster Recovery Evidence
  
  This review's evidence mapping of 735 studies shows a research asymmetry. Table 1 shows that infrastructure reconstruction is the largest domain (427), followed by governance and policy (175) and social rehabilitation (98). Economic, environmental, and technology-related recovery receive less attention (n = 11, 21, and 3). Physical reconstruction and institutional frameworks dominate the distribution, while livelihoods, environmental restoration, and technology-supported recovery are less prominent. Figure 3 shows the same pattern: related, but only partly connected, thematic clusters across governance, reconstruction, psychosocial recovery, and environmental risk research.
  According to Xu and Lu (2013), governance provides the principal connection among recovery domains. Centralized mobilization, matched aid, and public finance accelerated infrastructure delivery and reconstruction (Zhang and Tao, 2018; Zhong and Lu, 2018). However, collaboration, local implementation, engagement, and community requirements determined recovery outcomes. Housing, relocation, and reconstruction evaluation studies show that rapid physical delivery does not assure long-term recovery in rural and urban populations (Kabilijiang et al., 2024; Qiang et al., 2019). Moreover, Social and economic recovery show additional cross-domain interaction. Livelihood restoration, employment, social capital, mental health, and community participation affected recovery (Han et al., 2021) . Research on social capital, residential satisfaction, and psychosocial well-being shows that trust, local ties, and community support shaped rehabilitation over time (Wang et al., 2022; Wei and Han, 2018). Chen et al. (2020) elaborate that because of resource inequality, relocation pressures, and rural deprivation, affected people had varying outcomes. In addition, environmental conditions and technology-related capacity form a third cross-domain relationship (Zhang et al., 2021). Unfluctuating, persistent landslide and debris-flow risks affected infrastructure safety, settlement planning, and livelihood security long after the earthquake (Tang et al., 2011). Geographic information systems, remote sensing, and monitoring technologies aided hazard assessment and recovery planning, but there is little evidence that technology improves policy quality, justice, or execution. Therefore, recovery planning must better integrate environmental risk information, infrastructure maintenance, land-use decisions, and community safety. Table 4 synthesizes the principal cross-domain mechanisms identified across the evidence base. The synthesis shows that recovery performance depends on domain relationships, not domain advancement. Governance coordinates recovery contacts, enabling conditions, structural restrictions, and long-term consequences in Figure 4.
  C6: The authors do not sufficiently explain why this synthesis is important, what can be learned or derived from it and, most importantly, where its novelty lies. In addition, the manuscript does not specify the benchmarks or criteria used to assess the reliability, accuracy and relevance of the individual studies included in the review. Were some studies considered more reliable or methodologically robust than others? Were there studies that contradicted one another? Were any findings found to be inaccurate, unsupported or inconsistent with the broader body of evidence? At present, it is difficult to determine from the manuscript whether such differences were identified and how they were evaluated.
  Response: Dear Reviewer, thank you for the constructive comment. We revised the manuscript to more clearly explain why the synthesis is important, what knowledge emerges from the 735 included studies, and where the contribution lies. We reported a comprehensive assessment across four dimensions: recovery relevance, reported evidence basis, methodological transparency, and alignment between reported findings and conclusions. Each dimension received a score from 0 to 2, producing a total score from 0 to 8. Table 6 reports the resulting distribution: 236 studies showed high reporting completeness, 344 showed moderate reporting completeness, and 155 showed limited abstract reporting. See section 12
  C7: The manuscript does not include a dedicated Discussion section. In my view, such a section is essential in a review article, particularly for addressing several of the issues raised above. The authors should move beyond summarizing the reviewed literature and provide a critical interpretation of the main patterns, agreements, contradictions, limitations and broader implications emerging from the body of evidence.
  Response: Dear reviewer, thank you for the valuable recommendation. We added a dedicated Discussion section before the Conclusions to provide a critical interpretation of the full evidence base, rather than a further thematic summary. (See section 14)
  C8: The Conclusions section currently looks as a shortened summary of the preceding synthesis rather than as a section that draws out the broader significance of the review. It remains unclear what has been learned from this review that was not already known from the existing literature.
  Response: Dear reviewer, thank you for the important observation. The Conclusions section has been substantially revised.
  C9: Regardless of how the text was produced, the manuscript would benefit from substantial linguistic and stylistic revision. The authors should aim for more concise writing while reducing repetitions and cumbersome phrasing
  Dear reviewer, we appreciate the constructive suggestion. Throughout the manuscript, Comprehensive linguistic and stylistic revisions improved the clarity and readability.
  
  Reply
  
  Citation: https://doi.org/10.5194/egusphere-2026-2334-AC1

Zulkaif Ahmed Saqib, Ao Yibin, Zhao Jianjun, and Peng Panyu

Viewed

Total article views: 421 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
261	130	30	421	25	19

HTML: 261
PDF: 130
XML: 30
Total: 421
BibTeX: 25
EndNote: 19

Views and downloads (calculated since 16 Jul 2026)

Month	HTML	PDF	XML	Total
Jul 2026	96	31	9	136
Aug 2026	45	13	3	61
Sep 2026	64	52	13	129
Oct 2026	56	34	5	95

Cumulative views and downloads (calculated since 16 Jul 2026)

Month	HTML	PDF	XML	Total
Jul 2026	96	31	9	136
Aug 2026	45	13	3	61
Sep 2026	64	52	13	129
Oct 2026	56	34	5	95

Viewed (geographical distribution)

Total article views: 397 (including HTML, PDF, and XML) Thereof 397 with geography defined and 0 with unknown origin.

Country	#	Views	%

Latest update: 25 Oct 2026

Short summary

The PRISMA-based analysis synthesizes 735 peer-reviewed studies (2008–2025) on Wenchuan earthquake recovery. Governance, infrastructure, social dynamics, and developing dangers like landslides and debris flows influence recovery. Risk, coordination, and long-term resilience in post-disaster systems are combined in the study.


Total:	0
HTML:	0
PDF:	0
XML:	0