An integrated approach of the analytic network process and fuzzy model mapping of evaluation of urban vulnerability against earthquake

References

• Ahmed MS, Morita H. 2018. An analysis of housing structures’ earthquake vulnerability in two parts of Dhaka city. Sustainability. 10:1–18.
   Google Scholar
• Aliabadi SF, Sarsangi A, Modiri E. 2015. The social and physical vulnerability assessment of old texture against earthquake (case study: Fahadan district in Yazd City). Arab J Geosci. 8:10775–10787.
   Google Scholar
• Ardekani A, Golabchi M, Hosseini SM, Alaghmandan M. 2017. Investigation of the impact of high-rise buildings shapes on their structural stability in order to reduce seismic hazards (case study: the effect of shape of plan). Environ Hazards. 4(1):27–42.
   Google Scholar
• Armas I. 2012. Multi-criteria vulnerability analysis to earthquake hazard of Bucharest, Romania. Nat Hazards. 63:1129–1156.
   Google Scholar
• Armas I, Ionescu R, Gavris A, Toma-Danila D. 2016. Identifying seismic vulnerability hotspots in Bucharest. Appl Geogr. 77:49–63.
   Google Scholar
• Boukri M, Farsi MN, Mebarki A, Belazougui M, Ait-Belkacem M, Yousfi N, Guessoum N, Benamar DA, Naili M, Mezouar N, et al. 2018. Seismic vulnerability assessment at urban scale: case of Algerian buildings. Int J Disaster Risk Reduct. 31:555–575.
   Google Scholar
• Feizizadeh B, Blaschke T, Nazmfar H. 2012b. GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in Urmia Lake Basin, Iran. Int J Digit Earth. 7(8):688–708.
   Google Scholar
• Feizizadeh B, Blaschke T, Nazmfar H, Akbari E, and Kohbanani HR. 2012a. Monitoring land surface temperature relationship to land use/land cover from satellite imagery in Maraqeh County, Iran. J Environ Plan Manag. 56(9):1290–1315.
   Google Scholar
• Frigerio I, Ventura S, Strigaro D, Mattavelli M, Amicis M, Mugnano S, Boffi M. 2016. A GIS-based approach to identify the spatial variability of social vulnerability to seismic hazard in Italy. Appl Geogr. 74:12–22.
   Google Scholar
• Gu D, Gerland P, Pelletier F, Cohen B. 2015. Risks of exposure and vulnerability to natural disasters at the city level: a global overview. New York: United Nations. United Nations Technical Paper No. 2015/2.
   Google Scholar
• Hashemi SM, Mahmoudzadeh A, Yousefi F. 2014. Surveying the crises interaction with the emphasis on earthquake crisis using SWOT method: a case study on district 22, Tehran metropolis. Int J Health Syst Disaster Manag. 2(1):22–29.
   Google Scholar
• Ibrion M, Mokhtari M, Nadim F. 2015. Earthquake disaster risk reduction in Iran: lessons and ‘lessons learned’ from three large earthquake disasters—Tabas 1978, Rudbar 1990 and Bam. Int J Disaster Risk Sci. 6(4):415–427.
   Google Scholar
• Janalipour M, Mohammadzadeh A, Valadan Zoej MJ, Amirkhani S. 2015. Buildings’ damage determination after the earthquake by using ANFIS model and remote sensing imagery. Emerg Manag. 4(1):79–91.
   Google Scholar
• Japan International Cooperation Agency (JICA). 2000.
   Google Scholar
• Karimzadeh S, Miyajima M, Hassanzadeh R, Amiraslanzadeh R, Kamel B. 2014. A GIS-based seismic hazard, building vulnerability and human loss assessment for the earthquake scenario in Tabriz. Soil Dynam Earthq Eng. 66:263–280.
   Google Scholar
• Martinelli A, Cifani G, Cialone G, Corazza L, Petracca A, Petrucci G. 2008. Building vulnerability assessment and damage scenarios in Celano (Italy) using a quick survey data-based methodology. Soil Dynam Earthq Eng. 28(10–11):875–889.
   Google Scholar
• Matkan AA, Shakhiba A, Poor AliS H, Nazmfar H. 2008. Locating suitable sites for landfill using GIS (study area: the city of Tabriz). J Environ Sci. 2008(2):121–132.
   Google Scholar
• Mohammadi M, Nazarpour R. 2016. The modeling of human mortality in nightly earthquake scenario in zone 1 of the city of Ahwaz. Geogr Environ Hazards. 20:21–38.
   Google Scholar
• Moradi M, Delavar MR, Moshiri B. 2015. A GIS-based multi-criteria decision-making approach for seismic vulnerability assessment using quantifier-guided OWA operator: a case study of Tehran, Iran. Ann GIS. 21(3):209–222.
   Google Scholar
• Movahed A, Firouzi MA, Isafi A. 2012. Investigation of urban resistance vulnerability to earthquake using inverse hierarchy model (IHWP) in geographic information system: a case study of Masjed Soleyman. J Urban Plan Res. 3(11):115–136.
   Google Scholar
• Moya L, Mas E, Koshimura S, Yamazaki F. 2018. Synthetic building damage scenarios using empirical fragility functions: a case study of the 2016 Kumamoto earthquake. Int J Disaster Risk Reduct. 31:76–84.
   Google Scholar
• Nath SK, Adhikari MD, Devaraj N, Maiti SK. 2015. Seismic vulnerability and risk assessment of Kolkata City. Nat Hazards Earth Syst Sci. 15(6):1103–1121.
   Google Scholar
• Nazmfar H. 2012. An analysis of urban system with emphasis on entropy model (case study: the cities of East Azerbaijan Province). Indian J Sci Technol. 5(9):3340–3344.
   Google Scholar
• Nazmfar H. 2017. Urban development predictions direction of using a combination GIS and Bayesian the probabilistic model (case study: Ardabil). Hum Geogr Res Q. 49:357–370.
   Google Scholar
• Nazmfar H, Beheshti B. 2016. Application of combined model analytical network process and fuzzy logic models in landslide susceptibility zonation (case study: Chellichay Catchment). J Geogr Environ Plan. 27(1):53–68 (in Persian).
   Google Scholar
• Nazmfar H, Jafarzadeh J. 2018. Classification of satellite images in assessing urban land use change using scale optimization in object-oriented processes (a case study: Ardabil city, Iran). J Indian Soc Remote Sens. 46(12):1983.
   Google Scholar
• Nazmfar H, Roshan Roodi S. 2015. Assessment of development sustainability level in 9th district of Mashhad district based on hierarchy models and network analysis. J Manag Syst 5(15):49–68 (in Persian).
   Google Scholar
• Park JH, Shin M, Cho GH. 2016. A dynamic estimation of casualties from an earthquake based on a time-use survey: applying HAZUS-MH software to Ulsan. Nat Hazards. 81(1):289–306.
   Google Scholar
• Parnell S. 2016. Defining a global urban development agenda. World Dev. 78:529–540.
   Google Scholar
• Patterson O, Weil F, Patel K. 2010. The role of community in disaster response: conceptual models. Popul Res Policy Rev. 29(2):127–141.
   Google Scholar
• Pourmosavi M, Firoozpour A, Darani M. 2012. The role of local communities on the performance development of disaster management. Disaster Manag Knowl Q. 2(1):32–42.
   Google Scholar
• Rahmati S, Ghanei Bafghi R. 2012. An analysis on impact of Tehran urban space development on increase of earthquake vulnerability: a time period of recent 200 years. Geogr Res. 27:18218–18240.
   Google Scholar
• Ranjbar HR, Nekooie MA. 2018. An improved hierarchical fuzzy TOPSIS approach to identify endangered earthquake-induced buildings. Eng Appl Artif Intell. 76:21–39.
   Google Scholar
• Rashed T, Weeks J. 2003. Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas. Geogr Inf Sci. 17(6):547–576.
   Google Scholar
• Rout S, Nanda RP, Panda KC. 2015. Seismic damage evaluation of existing buildings based on shear wave velocity: a case study. Asian J Civ Eng (BHRC). 16(6):909–918.
   Google Scholar
• Saaty TL. 2001. Decision making with dependence and feedback: the analytic network process. Pittsburgh: RWS Publications.
   Google Scholar
• Saaty TL. 2005. Theory and applications of the analytic network process. Pittsburgh: RWS Publications.
   Google Scholar
• Saaty TL, Vargas LG. 1998. Diagnosis with dependent symptoms: Bayes theorem and the analytic network process. Oper Res. 46(4):491–502.
   Google Scholar
• Zebardast E. 2013. Constructing a social vulnerability index to earthquake hazards using a hybrid factor analysis and analytic network process (F’ANP) model. Nat Hazards. 65(3):1331–1359.
   Google Scholar
• Zhang Y, Weng WG, Huang ZL. 2018. A scenario-based model for earthquake emergency management effectiveness evaluation. Technol Forecast Soc Change. 128:197–207.
   Google Scholar