Application of System Thinking and Factors Interrelationship Analysis to Identify Primary Success Factors of Post-Natural Disaster Recovery Projects
Abstract
:1. Introduction
2. Materials and Methods
- Context analysis: To commence the study, the researchers selected English academic resources, including papers, manuscripts, books, and dissertations, that had been published from 2002 to 2020. “Post-Natural Disaster Recovery”, “post-disaster reconstruction”, and “natural disasters” were the keywords used to select the academic resources. The resources selected and stored in Mendeley have been read twice, and the cited influential factors were extracted (Figure 3). Figure 1 represents the common topics that arose in research context analysis.
- System Thinking: Considering systems as nonlinear and dynamic feedback loops containing a group of elements related to one another and their environment, Systems Thinking aspires to take a broader view of the issue as a whole [13,14]. Traditional thinking methods break a project into parts and neglect interrelationships, while System Thinking attempts to track patterns of changes [13]. System theory incorporates the principles, models, and laws intrinsic to the interrelationships and interdependencies between the components of a complex system [13]. PNDR projects can be seen as systems that consist of numerous components. These projects are influenced by a complex environment causing myriad difficulties that make the control of the recovery project a tough job [15]. As shown by the context analysis, the use of System Thinking in PNDR projects is prevalent [14,16]. As such, System Thinking, which involves “seeing the forest for the trees” [13], was applied in this research to expand our understanding of the intricate nature of PNDR projects. Through the application of System Thinking, five sub-systems, 16 groups and 73 factors influencing PNDR projects’ success have been coded by NVivo 2020. Their frequencies were then analyzed based on the literature review.
- Life-time-based study: PNDR projects involve continuous procedures that may continue for several years. To identify the final objectives of the PNDR projects, an appropriate life cycle for these projects should be determined. This study’s suggested life-time framework considers the activities required to successfully manage PNDR projects within a continual life cycle.
- Factors interrelationship analysis: Two rounds of factor-interrelationship analysis were conducted to determine the extracted influential factors’ accuracy and redundancy. This process can also simplify the data collection and calculation processes of future studies that will be conducted in this area. The influential factors were assessed throughout the continuous life cycles of PNDR projects. Finally, their number was reduced to 59, and the time-based objectives of PNDR projects, called PSFs, have been rendered.
3. Results
3.1. Influential Factors Based on Context Analysis
3.2. Influential Factors Based on System Thinking Application and Codification: Sub-Systems, Groups, and Factors
3.2.1. Social Sub-System
3.2.2. Economy Sub-System
3.2.3. Environment Sub-System
3.2.4. Government Sub-System
3.2.5. Project Management Sub-System
3.3. Influential Factors Based on Factors Interrelationship Analysis
4. Discussion
5. Conclusions
- Through the application of System Thinking, the number of influential factors was reduced to 73. These factors were extracted from the context analysis and were inputted in the next step, the factors interrelationship analysis.
- Considering the continuous life cycle of PNDR projects as well as System Thinking allowed the study to revise the influential factors. Finally, the establishment of 59 effectual factors, which were analyzed in the last round of the factors interrelationship analysis and were considered as the life cycle-based objectives of PNDR projects, formed the most significant result of this study. This classification leads to the identification of PSFs and differentiates the factors that are the subsets/influential parameters of those goals.
- According to the discussion section, the “planning and design stage” contains the highest frequency of previously determined factors. On the other hand, the “pre-disaster stage” attracted the lowest attention, meaning that this group’s factors might be less determinative of the success of the PNDR project. However, the role of pre-disaster planning and preparedness activities is undeniable, as addressed by He and Zhuang [59]. Moreover, the “continual development stage” exhibited a low impact on the PNDR projects’ success; however, the post-disaster preparedness and development stages seem to be neglected, but they are discussed by Dunford and Li [60]. Furthermore, it is necessary to re-examine the PSFs based on real cases.
- Different governments may prefer the timeline-based categorization of the recovery projects’ objectives after natural disasters. Some states may pay more attention to the short-term goals, while others focus on the long-term ones. As a result, the effectiveness of the objectives’ categories on the success of the PNDR projects depends on the nature of the projects and the stakeholders’ attitude.
- After assessing a huge body of literature, as shown in sub-Section 3.1, numerous factors were identified to be influential in the successful recovery after natural disasters. However, there is no obvious explanation of these projects’ objectives. Furthermore, the described effectual parameters suffer from the lack of a logical framework. This study illustrates a potential objective tree, depicting the different possible goals of PNDR projects. Each phase of this time-based objective tree can be used separately, as milestones, to evaluate the project’s progress. Moreover, this study has altered the prevalent unilateral approach toward PNDR projects into a more holistic perspective. The applied systematic logic attempts to answer the heterogeneous needs of stakeholders. Finally, the proposed framework of PSFs and the main objectives of PNDR projects lead to new approaches to the successful management of PNDR projects, employing System Thinking and the continuous life cycle concept simultaneously.
- There are some ways in which the ideas presented herein could be further developed. The method could be further refined by considering the validation of PSFs so as to form an Evaluation Index System for PNDR projects, which constitutes part of a bigger study. The future research projects of these authors will seek to use this methodology to identify PNDR projects’ CSFs and their measurement criteria, which will be evaluated through case studies.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Ganapati, N.E.; Mukherji, A. Out of Sync: World Bank Funding for Housing Recovery, Postdisaster Planning, and Participation. Nat. Hazards Rev. 2014, 15, 58–73. [Google Scholar] [CrossRef]
- Wu, J.Y. A Comparative Study of Housing Reconstruction After Two Major Earthquakes: The 1994 Northridge Earthquake in the United States and the 1999 Chi-Chi Earthquake in Taiwan. Ph.D. Thesis, Texas A&M University, College Station, TX, USA, 2003. [Google Scholar]
- Supernaw, S.A. Impact of Project Management Methodology Use in Post-Disaster Recovery and Mitigation Projects by North Carolina Emergency Managers. Ph.D. Thesis, Northcentral University, San Diego, CA, USA, 2019. [Google Scholar]
- Xu, P.; Lu, X.; Zuo, K.; Zhang, H. Post-Wenchuan Earthquake Reconstruction and Development in China. In Disaster and Development—Examining Global Issues and Cases; Kapucu, K.T.L.N., Ed.; Sringer: New York, NY, USA, 2014. [Google Scholar]
- Fayazi, M.; Arefian, F.F.; Gharaati, M.; Johnson, C.; Lizarralde, G.; Davidson, C. Managing institutional fragmentation and time compression in post-disaster reconstruction—The case of Bam. Int. J. Disaster Risk Reduct. 2017, 21, 340–349. [Google Scholar] [CrossRef]
- Sun, C.; Xu, J. Estimation of Time for Wenchuan Earthquake Reconstruction in China. J. Constr. Eng. Manag. 2011, 137, 179–187. [Google Scholar] [CrossRef]
- Enshassi, A.; Chatat, T.; Von Meding, J.; Forino, G. Factors Influencing Post-disaster Reconstruction Project Management for Housing Provision in the Gaza Strip, Occupied Palestinian Territories. Int. J. Disaster Risk Sci. 2017, 8, 402–414. [Google Scholar] [CrossRef] [Green Version]
- Von Meding, J.; Oyedele, L.; Bruen, J. Linking Organisational Competency to Project Success in Post-Disaster Reconstruction; Open House Int.: Gateshead, UK, 2014; Volume 39, pp. 7–16. [Google Scholar]
- Erk, G.K.; Yilmaz, D.G.; Von Meding, J. A theoretical approach to the design of a survey instrument in post-disaster reconstruction: Defining indicators for a human-based study in rural built-environment. Int. J. Archit. Res. 2013, 7, 40–56. [Google Scholar]
- Rani, W.N.M.W.M.; Nifa, F.A.A.; Ismail, M.N.; Khalid, K.N. Planning for post disaster recovery: Lesson learnt from flood events in Kelantan Malaysia. AIP Conf. Proc. 2017, 1891, 020143. [Google Scholar]
- Ahmed, I.; Charlesworth, E.R. An evaluation framework for assessing resilience of post-disaster housing. Int. J. Disaster Resil. Built Environ. 2015, 6, 300–312. [Google Scholar] [CrossRef]
- Kopaei, M.G. Knowledge Transfer in Post-Disaster Reconstruction: The Problem of Post-Post-Disaster Reconstruction. Ph.D. Thesis, McGill University, Montreal, QC, Canada, 2009. [Google Scholar]
- Fan, Y.; Li, Z.; Pei, J.; Li, H.; Sun, J. Applying systems thinking approach to accident analysis in China: Case study of “7.23” Yong-Tai-Wen High-Speed train accident. Saf. Sci. 2015, 76, 190–201. [Google Scholar] [CrossRef]
- Johnson, C. Strategic Planning for Temporary Housing: 1999 Earthquakes in Turkey. Ph.D. Thesis, University of Montreal, Montreal, QC, Canada, 2006. [Google Scholar]
- Lizarralde, G. Organisational System and Performance of Post-Disaster Reconstruction Projects. Ph.D. Thesis, University of Montreal, Montreal, QC, Canada, 2004. [Google Scholar]
- Rehman, J.; Sohaib, O.; Asif, M.; Pradhan, B. Applying systems thinking to flood disaster management for a sustainable development. Int. J. Disaster Risk Reduct. 2019, 36, 101101. [Google Scholar] [CrossRef]
- Xiao, Y.; Olshansky, R.; Zhang, Y.; Johnson, L.A.; Song, Y. Financing rapid community reconstruction after catastrophic disaster: Lessons from the 2008 Wenchuan earthquake in China. Nat. Hazards 2020, 104, 5–30. [Google Scholar] [CrossRef]
- Vahanvati, M.; Mulligan, M. A new model for effective post-disaster housing reconstruction: Lessons from Gujarat and Bihar in India. Int. J. Proj. Manag. 2017, 35, 802–817. [Google Scholar] [CrossRef]
- Sadiqi, Z.; Trigunarsyah, B.; Coffey, V. A framework for community participation in post-disaster housing reconstruction projects: A case of Afghanistan. Int. J. Proj. Manag. 2017, 35, 900–912. [Google Scholar] [CrossRef]
- Zhao, B.; Taucer, F.; Rossetto, T. Field investigation on the performance of building structures during the 12 May 2008 Wenchuan earthquake in China. Eng. Struct. 2009, 31, 1707–1723. [Google Scholar] [CrossRef]
- Tauber, G. Architects and rural post-disaster housing: Lessons from South India. Int. J. Disaster Resil. Built Environ. 2015, 6, 206–224. [Google Scholar] [CrossRef]
- Platt, S. Factors Affecting the Speed and Quality of Post-Disaster Recovery and Resilience. In Earthquake Engineering and Structural Dynamics in Memory of Ragnar Sigbjörnsson; Rupakhety, S.Ó.R., Ed.; Springer: Berlin, Germany, 2018; pp. 369–403. [Google Scholar]
- Considerations on Developing A System of Indicators Based on the Sendai Framework for Disaster Risk Reduction 2015–2030: A Proposal for Monitoring Progress; UNISDR: Geneva, Switzerland, 2015.
- Flores Salas, A. Evaluation of the Use of Lightweight Concrete Panels for Post Disaster House Reconstruction Using Building Information Modelling. Ph.D. Thesis, University of Manchester, Manchester, UK, 2016. [Google Scholar]
- Olshansky, R.B. Planning After Hurricane Katrina. J. Am. Plan. Assoc. 2006, 72, 147–153. [Google Scholar] [CrossRef]
- Siriwardhana, C.; Hewage, S.; Deshabandu, R.; Siribaddana, S.; Sumathipala, A. Psychosocial and Ethical Response to Disasters: A SWOT Analysis of Post-Tsunami Disaster Management in Sri Lanka. Asian Bioeth. Rev. 2012, 4, 171–182. [Google Scholar] [CrossRef]
- Guo, Y. Urban resilience in post-disaster reconstruction: Towards a resilient development in Sichuan, China. Int. J. Disaster Risk Sci. 2012, 3, 45–55. [Google Scholar] [CrossRef] [Green Version]
- Celentano, G.; Escamilla, E.Z.; Göswein, V.; Habert, G. A matter of speed: The impact of material choice in post-disaster reconstruction. Int. J. Disaster Risk Reduct. 2019, 34, 34–44. [Google Scholar] [CrossRef] [Green Version]
- Di Gregorio, L.T.; Soares, C.A.P. Post-disaster housing recovery guidelines for development countries based on experiences in the American continent. Int. J. Disaster Risk Reduct. 2017, 24, 340–347. [Google Scholar] [CrossRef]
- Rouhanizadeh, B.; Kermanshachi, S.; Dhamangaonkar, V.S. Reconstruction of Critical and Interdependent Infrastructures due to Catastrophic Natural Disasters: Lessons Learned. In Proceedings of the ASCE Construction Research Congress (CRC 2020), Tempe, AZ, USA, 8–10 March 2020. [Google Scholar]
- Dhamangaonkar, V. Identification of Legal and Policy Barriers to Timely Post-Disaster Reconstruction and Strategy Development for Effective Recovery Processes in United States. Master of Science Thesis, The University of Texas, Austin, TX, USA, 2019. [Google Scholar]
- Kermanshachi, S.; Bergstrand, K.; Rouhanizadeh, B. Identifying, Weighting and Causality Modeling of Social and Economic Barriers to Rapid Infrastructure Recovery from Natural Disasters: A Study of Hurricanes Harvey, Irma and Maria; University of Texas: Austin, TX, USA, 2019. [Google Scholar]
- Johnson, C.; Lizarralde, G. Post-Disaster Housing and Reconstruction. In International Encyclopedia of Housing and Home; Smith, S.J., Ed.; Elsevier: Amsterdam, The Netherlands, 2012; pp. 340–346. [Google Scholar]
- Han, Z. From Vulnerability to Resilience: Long-Term Livelihood Recovery in Rural China after the 2008 Wenchuan Earthquake. Ph.D. Thesis, University of Delaware, Newark, DE, USA, 2014. [Google Scholar]
- Patel, S.; Hastak, M. A framework to construct post-disaster housing. Int. J. Disaster Resil. Built Environ. 2013, 4, 95–114. [Google Scholar] [CrossRef] [Green Version]
- Chen, Y.; Booth, D.C. The Wenchuan Earthquake of 2008 Anatomy of a Disaster; Science Press: Beijing, China, 2011. [Google Scholar]
- Fan, X.; Juang, C.H.; Wasowski, J.; Huang, R.; Xu, Q.; Scaringi, G.; van Westen, C.J.; Havenith, H.-B. What we have learned from the 2008 Wenchuan Earthquake and its aftermath: A decade of research and challenges. Eng. Geol. 2018, 241, 25–32. [Google Scholar] [CrossRef]
- Han, Y.S.J.; Zhang, P. The Construction of Emergency Communication Model Based on the Kite-Type Co-orientation Approach. In Technology for Education and Learning; Tan, H., Ed.; Springer: Warszawa, Poland, 2019; Volume 53, pp. 235–243. [Google Scholar]
- Xu, J.; Lu, Y. Meta-synthesis pattern of post-disaster recovery and reconstruction: Based on actual investigation on 2008 Wenchuan earthquake. Nat. Hazards 2011, 60, 199–222. [Google Scholar] [CrossRef]
- Okamoto, K.; Ishikawa, Y. Traditional Wisdom and Modern Knowledge for the Earth’s Future. In Proceedings of the International Geographical Union Kyoto Regional Conference, Kyoto, Japan, 4–9 August 2013. [Google Scholar]
- Altay, N.; Green, W.G., III. Interfaces with Other Disciplines OR/MS research in disaster operations management. Eur. J. Oper. Res. 2006, 175, 475–493. [Google Scholar] [CrossRef] [Green Version]
- Du, F.; Okazaki, K.; Ochiai, C.; Kobayashi, H. Post-disaster building repair and retrofit in a disaster-prone historical village in China: A case study in Shangli, Sichuan. Int. J. Disaster Risk Reduct. 2016, 16, 142–157. [Google Scholar] [CrossRef]
- Tafti, M.T.; Tomlinson, R. Best practice post-disaster housing and livelihood recovery interventions: Winners and losers. Int. Dev. Plan. Rev. 2015, 37, 165–185. [Google Scholar] [CrossRef]
- Griffey, A.M. Infrastructure Disaster Management: Insight from Small Business Leaders After A Mega Disaster. Ph.D. Thesis, University of Phoenix, Phoenix, AZ, USA, 2010. [Google Scholar]
- Ismail, D.; Majid, T.A.; Roosli, R.; Ab Samah, N. Project Management Success for Post-disaster Reconstruction Projects: International NGOs Perspectives. Proc. Econ. Financ. 2014, 18, 120–127. [Google Scholar] [CrossRef]
- Lu, Y.; Xu, J. Comparative Study on the Key Issues of Post earthquake Recovery and Reconstruction Planning: Lessons from the United States, Japan, Iran, and China. Nat. Hazards Rev. 2015, 16, 04014033. [Google Scholar] [CrossRef]
- Check, W. The Paradox of Community Involvement: Post-Disaster Reconstruction in Minamisanriku Japan. Ph.D. Thesis, Tulane University, New Orleans, LA, USA, 2019. [Google Scholar]
- Moatty, A. Post-Flood Recovery: An Opportunity for Disaster Risk Reduction? In Floods; Vinet, F., Ed.; Elsevier Ltd.: Amsterdam, The Netherlands, 2017; Volume 2, pp. 350–363. [Google Scholar]
- Chang, Y.; Wilkinson, S.; Seville, E.; Potangaroa, R.; Chang-Richards, Y. Resourcing for a resilient post-disaster reconstruction environment. Int. J. Disaster Resil. Built Environ. 2010, 1, 65–83. [Google Scholar] [CrossRef] [Green Version]
- Ge, Y.; Gu, Y.; Deng, W. Evaluating China’s National Post-Disaster Plans: The 2008 Wenchuan Earthquake’s Recovery and Reconstruction Planning. Int. J. Disaster Risk Sci. 2010, 1, 17–27. [Google Scholar]
- Rouhanizadeh, B.; Kermanshachi, S. Investigating the Relationships of Socioeconomic Factors Delaying Post-Disaster Reconstruction. In Proceedings of the ASCE International Conference on Computing in Civil Engineering, Atlanta, GA, USA, 17–19 June 2019; pp. 16–24. [Google Scholar]
- Mukherji, A. Negotiating Housing Recovery: Why Some Communities Recovered While Others Struggled to Rebuild in Post-Earthquake Urban Kutch, India. Ph.D. Thesis, University of California, Oakland, CA, USA, 2008. [Google Scholar]
- Guarnacci, U. Governance for sustainable reconstruction after disasters: Lessons from Nias, Indonesia. Environ. Dev. 2012, 2, 73–85. [Google Scholar] [CrossRef]
- Da Silva, J. Lessons from Aceh. Key Considerations in Post-Disaster Reconstruction; Practical Action Publishing: Rugby, UK, 2010. [Google Scholar]
- Hidayat, B.; Egbu, C. A literature review of the role of project management in post-disaster reconstruction. In Proceedings of the 26th Annual ARCOM Conference, Leeds, UK, 6–8 September 2010; pp. 1269–1278. [Google Scholar]
- Fayazi, M.; Yeh, E.T.; Li, F. Development and divergent post-disaster trajectories in a mountain village: Temporal dynamics of differentiation after the 2008 Wenchuan earthquake. World Dev. 2019, 124, 104663. [Google Scholar] [CrossRef]
- Robert, O.; Ikuo, K.; Kazuyoshi, O. The Kobe Earthquake, Ten Years Later. Planning 2005, 71, 36. [Google Scholar]
- Akiyama, H. Who Rebuilds? Civil Society in Post-Disaster Recovery in China and Japan. Ph.D. Thesis, George Mason University, Fairfax City, VA, USA, 2019. [Google Scholar]
- He, F.; Zhuang, J. Balancing pre-disaster preparedness and post-disaster relief. Eur. J. Oper. Res. 2016, 252, 246–256. [Google Scholar] [CrossRef] [Green Version]
- Dunford, M.; Li, L. Earthquake reconstruction in Wenchuan: Assessing the state overall plan and addressing the ‘forgotten phase’. Appl. Geogr. 2011, 31, 998–1009. [Google Scholar] [CrossRef]
Life- Cycle | System Thinking | The First Round of Factors Interrelationship Analysis | The Second Round of Factors Interrelationship Analysis |
---|---|---|---|
Pre-disaster stage | Social |
|
|
Economy |
|
| |
Environment |
|
| |
Government |
|
| |
Post-disaster immediate response stage | Social |
|
|
Economy |
|
| |
Environment |
|
| |
Government |
|
| |
Project Management |
|
| |
Planning and design Stage | Social |
|
|
Economy |
|
| |
Environment |
|
| |
Government |
|
| |
Project Management |
|
| |
Procurement, construction, and completion stage | Social |
|
|
Economy |
|
| |
Environment |
|
| |
Government |
|
| |
Project Management |
|
| |
Continual development stage | Social |
|
|
Economy |
|
| |
Environment |
|
| |
Government |
|
| |
Project Management |
|
| |
Total number of the factors | 69 | 59 |
Code | Influential Factors after Factors Interrelationship Analysis | Influential Factors Based on Context Analysis (before Factors Interrelationship Analysis) |
---|---|---|
Pre 1 | Basic population information record | Successful beneficiary identification |
Pre 2 | Special fund and resources (SFR) for disaster | Sufficient funding availability Financial incentives or disincentives (Tax, subsidy) |
Pre 3 | Climate monitoring | Climate real-time monitoring |
Pre 4 | Facilities information record | Pre-disaster evaluation of existing building |
Pre 5 | Facilities maintenance | Critical Infrastructure Protection (CIP) Retrofitting vulnerable buildings before disaster |
Pre 6 | Emergency management plan | Establishment and rehearsal of emergency plans and mitigation activities |
Emergency response training | ||
Post 1 | People’s basic needs (food, sanitation, shelter...) | Prompt answer to people’s basic needs (food, medical treatment, shelter, …) |
Post 2 | Temporary school | Temporary schools for children |
Post 3 | Rescue and medical aid | NO CONSIDERATION |
Post 4 | Psychological support | Psychological support from government |
Post 5 | Criminal behavior prevention | Criminal behavior prevention |
Post 6 | Social network | Retention of residents’ social networks and their trust |
Post 7 | Assistance from NGOs | Participation of NGOs |
Post 8 | Quick and fair allocation of SFR | Rapid fund collection for reconstruction Well-administered financial acquisition Priority setting among fund-requiring activities |
Post 9 | Debris cleaning | NO CONSIDERATION |
Post 10 | Continuous disaster handling | NO CONSIDERATION |
Post 11 | Immediate leadership and coordination | Coordination & collaboration among assistants Coordination among contractors Sufficient control on people participation Transparency and accountability (clearly defined roles and responsibility) |
Post 12 | Immediate infrastructure restoration | Revitalization of critical infrastructures |
Post 13 | Assistance from other countries or areas | Assistance from other countries or international organizations Assistance from other provinces, districts, or cities |
Post 14 | Damage assessment | Damage assessment & technical survey |
Post 15 | Site investigation | Site investigation |
Pla&de 1 | Consideration of local culture | Cultural and climate design to meet real needs Consideration of community culture and beliefs |
Pla&de 2 | Consideration of community needs | Fair social well-being for vulnerable groups Effective and holistic communication system Significant level of community participation |
Pla&de 3 | Budget for reconstruction | NO CONSIDERATION |
Pla&de 4 | Environment protection plan | NO CONSIDERATION |
Pla&de 5 | Property right protection | Private & none-private property right protection |
Pla&de 6 | Pre-established plans revision | Revision of pre-established plans after disaster Establishment of pre-disaster plans based on past experiences |
Pla&de 7 | Integrated recovery plan (simplification of reconstruction procedure) | Improvement and simplification in government mechanism Integrated institutional planning Integrated & continuous recovery management Well-defined & accepted scope of PDR project |
Pla&de 8 | Designer professionalism | Application of competence and experienced managers |
Pla&de 9 | Site selection | Site selection |
Pla&de 10 | Reasonable housing design | Availability of infrastructures in housing areas Integrated housing reconstruction |
Pla&de 11 | Resilient infrastructure design | Resilient & sustainable reconstruction (less vulnerabilities) |
Pla&de 12 | Enforcement of standards | Enforcement of standards |
Pro&con 1 | Use of local labor | NO CONSIDERATION |
Pro&con 2 | Use of local materials | Assessment of availability of local resource before disaster |
Pro&con 3 | Use of local construction methods | NO CONSIDERATION |
Pro&con 4 | Cost control | Cost control |
Pro&con 5 | Waste management | NO CONSIDERATION |
Pro&con 6 | Use of recyclable materials | Appropriate materials considering features of project |
Pro&con 7 | Supervision on reconstruction | Supervision on agencies during reconstruction Direct supervision on overall project Supervision on usage of financial assistance |
Pro&con 8 | Rapid construction method | Appropriate construction technology considering features of project Rapid reconstruction method |
Pro&con 9 | Availability of construction materials | Fair resource distribution Sufficient available procurement |
Pro&con 10 | Contractor competence | Assessment of contractors’ competency |
Pro&con 11 | Skillful labors | Skilled labor force |
Pro&con 12 | Logistic management | Logistic management |
Pro&con 13 | Safety control | On-site safety management Safety of structures |
Pro&con 14 | Quality control | Quality control |
Pro&con 15 | On-time completion and delivery | Effective time management Timely decision-making in accordance with project’s features |
ConDev 1 | Livelihood development | Recovery of livelihood |
ConDev 2 | Improvement of public awareness about natural hazards | Increasing public awareness for prevention of hazards Knowledge-based system & training |
ConDev 3 | Local business recovery | Economy development plan based on area’s distinctive features |
ConDev 4 | Sustainable environment | Recovery of sustainable environment |
ConDev 5 | Updated regulations and standards based on lessons learnt | Up-to-date reconstruction standards & legislations Documentation & knowledge transferring system |
ConDev 6 | Information management system | Information management system |
ConDev 7 | Hazard warning and protection systems | Preparedness against natural disasters |
ConDev 8 | House condition evaluation after PDR | Result-based and holistic project evaluation method |
Infrastructure condition evaluation after PDR |
Goal | Timeline-Based Purpose | First Level Objectives | PSFs | Subsets/Influential Parameters |
---|---|---|---|---|
Comprehensive and long-lasting success of PNDR projects | Short-term objectives | Community needs | People basic needs (food, sanitation, shelter…) |
|
Temporary school |
| |||
Rescue and medical aid |
| |||
Psychological support |
| |||
Criminal behavior prevention |
| |||
Quick and fair allocation of SFR |
| |||
Facilities and environment | Debris cleaning |
| ||
Continuous disaster handling |
| |||
Immediate infrastructure restoration |
| |||
Mid-term objectives | Design and planning | Property right protection |
| |
Site selection |
| |||
Reasonable housing design |
| |||
Resilient infrastructure design |
| |||
Construction | Cost control |
| ||
Waste management |
| |||
Quality control |
| |||
Safety control |
| |||
On-time completion and delivery |
| |||
Long-term objectives | Public well-being | Improvement of public awareness about natural hazards |
| |
Livelihood development |
| |||
Local business recovery |
| |||
Sustainable environment |
| |||
Structures well-being | Facility maintenance |
| ||
House condition evaluation after PDR |
| |||
Infrastructure condition evaluation after PDR |
| |||
Procedure well-being | Hazard warning and protection systems |
|
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bahmani, H.; Zhang, W. Application of System Thinking and Factors Interrelationship Analysis to Identify Primary Success Factors of Post-Natural Disaster Recovery Projects. Sustainability 2021, 13, 3392. https://doi.org/10.3390/su13063392
Bahmani H, Zhang W. Application of System Thinking and Factors Interrelationship Analysis to Identify Primary Success Factors of Post-Natural Disaster Recovery Projects. Sustainability. 2021; 13(6):3392. https://doi.org/10.3390/su13063392
Chicago/Turabian StyleBahmani, Homa, and Wei Zhang. 2021. "Application of System Thinking and Factors Interrelationship Analysis to Identify Primary Success Factors of Post-Natural Disaster Recovery Projects" Sustainability 13, no. 6: 3392. https://doi.org/10.3390/su13063392
APA StyleBahmani, H., & Zhang, W. (2021). Application of System Thinking and Factors Interrelationship Analysis to Identify Primary Success Factors of Post-Natural Disaster Recovery Projects. Sustainability, 13(6), 3392. https://doi.org/10.3390/su13063392