نشریه علمی شهر ایمن

نشریه علمی شهر ایمن

ارزیابی انواع روش های اسکان موقت در زمان بحران در برابر تهدیدات با بهره گیری از روش تحلیل سلسله مراتبی AHP

نوع مقاله : مقاله پژوهشی

نویسندگان
1 داﻧﺸﺠﻮی دﮐﺘﺮی ﻣﻌﻤﺎری، داﻧﺸﮑﺪه هنر و ﻣﻌﻤﺎری، داﻧﺸﮕﺎه ﻋﻠﻮم و ﺗﺤﻘﯿﻘﺎت تهران، اﯾﺮان
2 استادیار دانشکده هنر و معماری دانشگاه تربیت مدرس، تهران، ایران
چکیده
همواره بحث ایمنی جانی در زمان بحران ها برای بشر در طول تاریخ با اهمیت بوده و یکی از نیازهای مهم بشر بوده است. بروز تهدیدات طبیعی منجر به ویرانی منازل مسکونی، ترک اجباری زیستگاه های ویرانشده و بی خانمانی مردم مناطق سانحه دیده میشود. عدم وجود مکانی جهت آسایش و در امان ماندن افراد سانحه دیده از اثرات مخرب سوانح و نبود احساس امنیت، ضرورت تأمین سرپناه برای آنها را ایجاد میکند. در این مقاله سعی شده است، ابتدا شاخص‌های مرتبط با انتخاب بهترین روش اسکان موقت در زمان بحران تاثیرگذار با استفاده از نظرات خبرگانی در حوزه معماری، عمران و مدیریت بحران تعیین شده و در مرحله بعد میزان تاثیر گذاری و اهمیت آنها با در نظر گرفتن معیارهای قابلیت مقاومت در برابر زلزله، پیچیدگی اجرا، سرعت اجرا، هزینه و قابلیت آوار برداری بدست آورده شود. جامعه خبرگان متشکل از 16 نفر بود که به پرسشنامه‌ای جهت تعیین اولویت‌ شاخص‌ها و وزن گزینه ها پاسخ دادند. در ادامه با استفاده از روش AHP میزان وزن هر یک از شاخص‌های اصلی و فرعی (زیر شاخص) بدست آورده شد و سپس با استفاده از همین روش وزن هر یک از گزینه های موجود در شاخص‌ها محاسبه شد. در نهایت نتایج تحقیق نشان داد که چادرزنی ناسازگارترین روش اسکان موقت در شرایط بحران می باشد و همچنین استفاده از مصالح بوم آورد با توجه به اهداف ذکر شده مناسب ترین روش اسکان موقت می باشد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Evaluating the Various Methods of Temporary Shelter in Crisis Situations Using the AHP Method

نویسندگان English

Ali Bitarafan 1
Khosro Daneshjoo 2
1 .Ph.D. Student in Architecture, Faculty of Arts and Architecture, University of Science and Research in Tehran, Iran (corresponding author)
2 Assistant Professor of the Faculty of Art and Architecture, Tarbiat Modarres University, Tehran, Iran.
چکیده English

Extended Abstract
Introduction
Crisis management has always been one of the fundamental concerns of human societies. Throughout history, natural disasters such as earthquakes, floods, and storms have destroyed vast numbers of residential units and left large populations homeless. One of the most critical phases of crisis management is the provision of temporary shelter for disaster victims. The absence of shelter not only threatens the physical and psychological safety of survivors but also creates serious obstacles in the path of recovery and reconstruction of affected areas.
 
Iran, as one of the world’s earthquake-prone countries with vulnerable and deteriorated urban and rural fabrics, is constantly exposed to such hazards. Therefore, the identification and evaluation of various temporary housing methods and the selection of the most effective and sustainable options in times of crisis are of vital importance.
 
This article aims to assess different types of temporary housing solutions during crises and evaluate their resilience against threats. To achieve this, a set of criteria—such as resistance to earthquakes, implementation speed, cost, complexity of construction, and demolition potential—were identified and weighted through the Analytical Hierarchy Process (AHP).
Methodology
 The research employed a descriptive-analytical method. Data were collected through expert interviews and questionnaires distributed among professionals in architecture, civil engineering, and crisis management. The study population consisted of 16 experts whose perspectives were used to determine the relative importance of criteria and available housing options.
The main steps of the methodology were:
Identification of criteria: A comprehensive set of indicators influencing temporary housing selection was identified. The five primary criteria included structural resistance, speed of implementation, cost-effectiveness, complexity of construction, and debris removal capacity.
Determination of housing options: Various alternatives such as tent settlements, prefabricated containers, and housing based on local materials
Application of AHP: Pairwise comparisons were made between criteria and then between alternatives, allowing the calculation of relative weights. This method helped quantify both the importance of each criterion and the degree to which each option satisfied them.
Data analysis: Finally, the weighted scores of alternatives were synthesized to produce a ranking of the temporary housing methods.
 Discussion and Results
 The analysis revealed significant differences in the effectiveness of temporary housing methods.
Tent settlements were identified as the least suitable option for temporary housing in crisis situations. Despite their quick installation, tents suffer from severe deficiencies: poor structural resistance against aftershocks and extreme weather, inadequate living comfort, lack of personal privacy, and minimal sanitation provisions. These shortcomings make tents an unsustainable solution beyond very short-term emergencies.
Local materials were ranked as the most appropriate option. This method offers several advantages:
Durability and resistance: Locally sourced materials are generally adapted to regional climatic and environmental conditions, providing higher resilience.
Affordability and speed: The accessibility of local resources reduces costs and accelerates construction.
Social acceptance: Shelters built with familiar materials align better with cultural and social practices, enhancing community satisfaction and psychological comfort.
Prefabricated containers and similar structures were found to be moderately effective. While they provide advantages in terms of rapid deployment and relocatability, their high costs and logistical complexity limit their feasibility on a large scale.
The study emphasized that temporary housing solutions should not be selected solely based on speed of construction. Instead, a balanced approach that integrates technical, social, and economic factors is necessary. Furthermore, site selection plays a critical role in the success of temporary housing projects. Case studies highlighted that open urban spaces—particularly parks and vacant lots—are the most appropriate sites, as they are government-owned, low-cost to adapt, and located within accessible residential areas.
The findings align with international experiences that stress the importance of sustainable and resilient temporary housing strategies. While emergency sheltering is a short-term response, the transition to more durable temporary solutions must consider not only physical safety but also cultural, social, and environmental dimensions.
 Conclusion
 Temporary housing is a vital phase of crisis management with direct implications for human survival, psychological well-being, and the speed of post-disaster recovery. The findings of this research demonstrate that optimal choices must be based on multi-dimensional evaluations. The use of the AHP model allowed the researchers to integrate technical, social, and cultural considerations into the decision-making process.
The study reached the following main conclusions:
Tent settlements are the least appropriate solution, suitable only for the immediate aftermath of a disaster.
Housing constructed from local materials is the most effective and sustainable option, offering resilience, affordability, and social acceptance.
Prefabricated shelters, while useful in some contexts, are constrained by cost and deployment challenges.
Effective planning of temporary housing requires a holistic approach that balances speed, cost, structural safety, and cultural relevance.
Pre-disaster planning, accurate site selection, and consideration of community needs are essential to ensure successful sheltering operations and prevent humanitarian crises from escalating.
Ultimately, the study underscores that temporary housing should not be treated merely as a short-term logistical solution but as a critical step in building resilience and facilitating long-term recovery. By prioritizing sustainable and locally adaptable strategies, crisis management authorities can mitigate the devastating impacts of natural disasters and strengthen community resilience.
 Conflict of Interest
Authors declared no conflict of interest.
 Acknowledgments
 We are grateful to all the scientific advisors and participants in the research.


کلیدواژه‌ها English

Temporary Shelter
Earthquake
Crisis
Threats
Hierarchical Analysis Method
Aghazadeh, E., Yildirim, H., & Kuruoglu, M. (2022). A hybrid fuzzy MCDM methodology for optimal structural system selection compatible with sustainable materials in mass-housing projects. Sustainability, 14(20), 13559.
Anand, A., Jethoo, A. S., & Sharma, G. (2015). Selection of temporary rehabilitation location after disaster: A review. European Scientific Journal, 11(10).
Ansari, R., Banihashemi, S. A., Taherkhani, R., & Moradi, S. (2022). Decision support system for analyzing key performance indicators in construction projects management. International Journal of Engineering, 35(5), 865–874. https://doi.org/10.5829/ije.2022.35.05b.03
Asafi, M., & Farkhi, S. (2016). Evaluation of temporary housing after the earthquake and strategies for qualitative improvement according to the needs of victims (Case study: Sarand-Heris village). Rural Researches, 7(1), 55–80. (In Persian)
Azarkish, M., Hafez Rezazadeh, M., & Miri, G. (2015). Locating temporary housing sites after natural disasters using the Analytic Hierarchy Process (AHP) in GIS environment: Case study of District 2 of Zahedan Municipality. International Conference on Geography and Sustainable Development (online). Safiran Farhangi Mobin Institute. (In Persian)
Badri, M. A. (2001). A combined AHP-GP model for quality control systems. International Journal of Production Economics, 72(1), 27–40.
Bahadori, H., Hasheminejad, A., Barani, M., & Karimi, A. (2017). Optimal site selection for temporary housing after the earthquake (Case study: Mahabad city). Journal of Natural Environmental Hazards, 6(13), 109–142. (In Persian)
Bitarafan, A. , Hossieni, S. B. , Jalali, G. R. , Yazdanfar, S. A. and Norouzian, S. (2022). Assessment of Urban Green Space Arrangements to Reduce Explosion Impacts on Buildings. Safe City5(1), 37-49. doi: 10.22034/ispdrc.2022.254405
Bitarafan, M., & Amini Hossini, K. (2023). Developing a Model for Assessing Urban Resilience to Aerial Attacks Using the IHWP Method: A Case Study of District 5, Tehran. Safe City6(1), 116-142.
Bitarafan, M., Amini Hosseini, K., & Hashemkhani Zolfani, S. (2023). Evaluating natural hazards in cities using a novel integrated MCDM approach (case study: Tehran city). Mathematics11(8), 1936.
Bitarafan, M., Hosseini, S. B., Javad hashemi-fesharaki, S., & Esmailzadeh, A. (2013). Role of architectural space in blast-resistant buildings. Frontiers of Architectural Research, 2(1), 67-73.
Bitarafan, M., Hosseini, S. B., Sabeti, N., & Bitarafan, A. (2016). The architectural evaluation of buildings’ indices in explosion crisis management. Alexandria Engineering Journal, 55(4), 3219-3228.
Bitarafan, M., Zolfani, S. H., Arefi, S. L., & Zavadskas, E. K. (2012). Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G. Archives of civil and mechanical engineering, 12(3), 360-367.
Cavallini, C., Giorgetti, A., Citti, P., & Nicolaie, F. (2013). Integral aided method for material selection based on quality function deployment and comprehensive VIKOR algorithm. Materials & Design, 47, 27–34.
Chakraborty, S., & Chatterjee, P. (2013). Selection of materials using multi-criteria decision making methods with minimum data. Decision Science Letters, 2(3), 135–148.
Chandrasekar, V. S., & Raja, K. (2016). Material selection for automobile torsion bar using fuzzy TOPSIS tool. International Journal of Advanced Engineering and Technology, 7(2), 343–349.
Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2009). Selection of materials using compromise ranking and outranking methods. Materials & Design, 30(10), 4043–4053.
Chothani, H., Kuchhadiya, B., & Solanki, J. (2014). Selection of material for hacksaw blade using AHP-PROMETHEE approach. International Journal of Innovative Research in Advanced Engineering, 1(15), 26–30.
Dadras, B., Norouzi, A., & Riahi, R. (2019). Site selection for temporary housing for earthquake victims in Borujen city. Journal of Urban Ecology Research, 10(20), 153–170. (In Persian)
Dağdeviren, M. (2008). Decision making in equipment selection: An integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19(4), 397–406.
Darji, V. P., & Rao, R. V. (2013). Application of AHP/EVAMIX method for decision making in the industrial environment. American Journal of Operations Research, 3(6), 542–569.
Dev, S., Aherwar, A., & Patnaik, A. (2019). Material selection for automotive piston component using entropy-VIKOR method. Silicon, 12(1), 155–169.
Do, J. Y., & Kim, D. K. (2012). AHP-based evaluation model for optimal selection process of patching materials for concrete repair: Focused on quantitative requirements. International Journal of Concrete Structures and Materials, 6(2), 87–100.
Dweiri, F., & Al-Oqla, F. M. (2006). Material selection using analytical hierarchy process. International Journal of Computer Applications in Technology, 26(4), 182–189.
El Gibari, S., Gómez, T., & Ruiz, F. (2019). Building composite indicators using multicriteria methods: A review. Journal of Business Economics, 89(1), 1–24.
Emami, A. A., & Kashani, S. (2012). Providing temporary housing camps in Tehran’s parks for earthquake victims. Quarterly Journal of Prevention and Crisis Management Knowledge, 2(1), 43. (In Persian)
Fouladgar, M. M., Yazdani-Chamzini, A., & Zavadskas, E. K. (2011). An integrated model for prioritizing strategies of the Iranian mining sector. Technological and Economic Development of Economy, 17(3), 459–484.
Giorgetti, A., Cavallini, C., Arcidiacono, G., & Citti, P. (2017). A mixed C-VIKOR fuzzy approach for material selection during design phase: A case study in valve seats for high performance engine. International Journal of Applied Engineering Research, 12(12), 3117–3129.
Girubha, R. J., & Vinodh, S. (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Materials & Design, 37, 478–486.
Givehchi, S., Attar, M. A., Rashidi, E., Hesari, A., & Nasbi, N. (2013). Locating temporary housing after earthquakes using GIS and AHP technique (Case study: District 6 of Shiraz city). Journal of Urban and Regional Studies and Research, 17, 101–118. (In Persian)
Gordillo, M., Mandri-Perrott, D., House, R. S., & Schwartz, J. Z. (2016). Prioritizing infrastructure investment: A framework for government decision making. Policy Research Working Paper Series, 7674. The World Bank.
Hajinezhad, E., & Kashfi, N. (2016). Evaluate the location of temporary settlements after the earthquake (Case study: Tabriz, Iran). International Journal of Advanced Biotechnology and Research, 7(Special Issue 3), 887–895.
Hosseini, B., Bitarafan, M., Hosseini, B., & Hashemi-fesharak, J. (2013). Openings compatible with passive defense architecture by using Analytic hierarchy process (AHP). Journal of Architecture and Urban Planning, 6(11), 25-38.
Hosseini, S. B., Bitarafan, M., Hashemi-Fesharaki, S. J., & Norouzian-Maleki, S. (2012). The role of basic forms buildings in explosion protection. International Journal of Science and Advanced Technology, 2(8), 47-50.
Hossny, H. E., Ibrahim, A. H., & Elnady, A. (2021). Assessment of construction project complexity. The Open Civil Engineering Journal.
Ilangkumaran, M., Avenash, A., Balakrishnan, V., Kumar, S. B., & Raja, M. (2013). Material selection using hybrid MCDM approach for automobile bumper. International Journal of Industrial Systems Engineering, 14(1), 20–39.
Jahan, A., Mustapha, F., Ismail, M., Sapuan, S., & Bahraminasab, M. (2011). A comprehensive VIKOR method for material selection. Materials & Design, 32(3), 1215–1221.
Jee, D. H., & Kang, K. J. (2000). MCDM application to material selection. Materials & Design, 14(9), 199–206.
Kaklauskas, A., Amaratunga, D., & Haigh, R. (2009). Knowledge model for post-disaster management. International Journal of Strategic Property Management, 13(2), 117–128.
Kilci, F., Yetis Kara, B., & Bozkaya, B. (2015). Locating temporary shelter areas after an earthquake: A case for Turkey. European Journal of Operational Research, 243(1), 323–332.
Kumar, A., & Kumar, M. (2019). Implementation of analytic hierarchy process (AHP) as a decision-making tool for selection of materials for the robot arm. International Journal of Applied Engineering Research, 14(11), 2727–2733.
Li, H., Zhao, L., Huang, R., & Hu, Q. (2017). Hierarchical earthquake shelter planning in urban areas: A case for Shanghai in China. International Journal of Disaster Risk Reduction, 22, 431–446.
Liern, V., Parada-Rico, S. E., & Blasco-Blasco, O. (2020). Construction of quality indicators based on pre-established goals: Application to a Colombian public university. Mathematics, 8(7), 1075. https://doi.org/10.3390/math8071075
Manalo, M. V., & Magdaluyo, E. R. (2018). Integrated DLM-COPRAS method in material selection of laminated glass interlayer for a fuel-efficient concept vehicle. In Proceedings of the World Congress on Engineering (Vol. 2). International Association of Engineers, London.
Mansor, M. R., Sapuan, S. M., Syams, Z. E., Abd Aziz, N., & Hambali, A. (2014). Application of integrated AHP-TOPSIS method in hybrid natural fiber composites materials selection for automotive parking brake lever component. Australian Journal of Basic and Applied Sciences, 8(5), 431–439.
Medineckiene, M., Turskis, Z., & Zavadskas, E. K. (2010). Sustainable construction taking into account the building impact on the environment. Journal of Environmental Engineering and Landscape Management, 18(2), 118–127.
Mesgari Houshyar, S., Haj Ebrahim Zargar, A., & Fallahi, A. (2019). A grounded theory-based model of temporary housing (Case study: Sarpol-e Zahab after the 2017 earthquake). Environmental Hazards Management, 6(3), 287–300. (In Persian)
Moradian, M., Modanloo, V., & Aghaiee, S. (2019). Comparative analysis of multi-criteria decision making techniques for material selection of brake booster valve body. Journal of Traffic and Transportation Engineering, 6(5), 526–534.
Nakhaei, J., Bitarafan, M., & Lale Arefi, S. (2015). Choosing the best urban tunnels as safe space in crisis using AHP method: a case study in Iran. Journal of Architecture and Urbanism, 39(2), 149-160.
Nakhaei, J., Bitarafan, M., Lale Arefi, S., & Kapliński, O. (2016). Model for rapid assessment of vulnerability of office buildings to blast using SWARA and SMART methods (a case study of swiss re tower). Journal of Civil Engineering and Management, 22(6), 831-843.
Nakhaei, J., Forghani, S., Bitarafan, M., Lale Arefi, S., & Šaparauskas, J. (2015). Reinforcement of laminated glass facades against the blast load. Journal of Civil Engineering and Management, 21(8), 1085-1097.
Nguyen, A. T., Nguyen, L. D., Le-Hoai, L., & Dang, C. N. (2015). Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process. International Journal of Project Management, 33(6), 1364–1376.
Omidvar, B., Ghasemi, R., & Zafari, H. (2007). Temporary housing methods and indigenous solutions in the Lorestan earthquake. Soffeh Journal, 16(45), 38–53. (In Persian)
Pahan, F., Dambhare, S., Mali, A., & Nawale, S. (2018). Implementation of multi-criteria decision making for selection of coating material on AISI 4140 steel. International Research Journal of Engineering and Technology, 5(12), 1514–1517.
Podvezko, V., Mitkus, S., & Trinkuniene, E. (2010). Complex evaluation of contracts for construction. Journal of Civil Engineering and Management, 16(2), 287–297.
Purirahim, A. A., Bitarafan, M., Arefi, S. L., & Setareh, A. A. (2012). Evaluation of Types of Buildings Entrances against Explosion. American Journal of Advanced Scientific Research (AJASR), 1(1).
Rahim, A. A. P., Bitarafan, M., & Arefi, S. L. (2013). Evaluation of types of shapes of building roof against explosion. International Journal of Engineering and Technology, 5(1), 1.
Rahimi, M., Abdollahi, A. A., & Eilaghi Hosseini, M. (2015). Locating temporary housing camps during earthquakes (Case study: Jiroft and Anbarabad counties). Journal of Urban Areas Studies, 2(9), 75–102. (In Persian)
Rai, D., Jha, G. K., Chatterjee, P., & Chakraborty, S. (2013). Material selection in manufacturing environment using compromise ranking and regret theory-based compromise ranking methods: A comparative study. Universal Journal of Materials Science, 1(2), 69–77.
Rao, R. V. (2008). A decision making methodology for material selection using an improved compromise ranking method. Materials & Design, 29(10), 1949–1954.
Roth, R., Field, F., & Clark, J. (1994). Materials selection and multi-attribute utility analysis. Journal of Computer-Aided Materials Design, 1(3), 325–342.
Rotimi, J. O., Wilkinson, S., Zuo, K., & Myburgh, D. (2009). Legislation for effective post-disaster reconstruction. International Journal of Strategic Property Management, 13(2), 143–152.
Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill, New York.
Sen, B., Bhattacharjee, P., & Mandal, U. (2016). A comparative study of some prominent multicriteria decision making methods for connecting rod material selection. Perspectives in Science, 8, 547–549.
Şenyigit, E., & Demirel, B. (2018). The selection of material in dental implant with entropy-based simple additive weighting and analytic hierarchy process methods. Sigma Journal of Engineering and Natural Sciences, 36(3), 731–740.
Sharma, A., Gupta, P., & Srivastava, R. K. (2015). Application of AHP and ANP methods for selection of best material for an axle. International Journal of Innovative Research in Science, Engineering and Technology, 4(5), 2894–2901.
Sivilevicius, H. (2011a). Modeling the interaction of transport system elements. Transport, 26(1), 20–34.
Sivilevicius, H. (2011b). Application of expert evaluation method to determine the importance of operating asphalt mixing plant quality criteria and rank correlation. Baltic Journal of Road and Bridge Engineering, 6(1), 48–58.
Socaciu, L., Giurgiu, O., Banyai, D., & Simion, M. (2016). PCM selection using AHP method to maintain thermal comfort of the vehicle occupants. Energy Procedia, 85, 489–497.
Tas, N., Tas, M., & Cosgun, N. (2011). Permanent housing production process after 17 August 1999 Marmara earthquake in Turkey. International Journal of Strategic Property Management, 15(3), 312–328.
Ugura, L., & Baykan, U. (2017). A model proposal for wall material selection decisions by using analytic hierarchy process (AHP). Acta Physica Polonica A, 132(3), 577–579.
Venkataramaiah, P., Rohith, B. J., & Mohana Reddy, P. (2012). Material selection for solar flat plate collectors using AHP. International Journal of Engineering Research in Africa, 2, 1181–1185.
Wedawatta, G., Ingirige, B., & Amaratunga, D. (2010). Building up resilience of construction sector SMEs and their supply chains to extreme weather events. International Journal of Strategic Property Management, 14(4), 362–375.
Yang, K., Zhu, N., Chang, C., Wang, D., Yang, S., & Ma, S. (2018). A methodological concept for phase change material selection based on multi-criteria decision making (MCDM): A case study. Energy, 165, 1085–1096.