ارزیابی و تحلیل آسیب‌پذیری لرزه‌ای شهر ایلام با استفاده از مدل دیمتل فازی و GIS

Alhawasli, H; & Daneshjoo, KH. (2018). Improving Residential Buildings Performance against the Explosion Using Passive Defense RequirementsCase Study: Designing a Residential Building in Damascus. Trends in Civil Engineering and its Architecture, 2(3): 1-8.

https://doi.org/10.32474/TCEIA.2018.02.000138

Arkhi, S, Kelvi, S. (2019), Comparison of pixel-based and object-oriented classification methods in preparing land use maps using satellite images (Case study: Ilam city), Geography and Urban-Regional Planning, 9 (32): 1-16. (In Persian).

Ansari Lari, A, Najafi, E, Nourbakhsh, S F. (2011), Geomorphological Capabilities and Limitations of Physical Development of Ilam City, Environmental Planning, 4 (15): 1- 16. (In Persian).

Beroya-Eitner, M.A. (2016). Ecological vulnerability indicators. Ecol. Indic, 60, 329–334.

https://doi.org/10.1016/j.ecolind.2015.07.001

Boad Technique Consulting Engineers (2013), Comprehensive Plan Review Studies, General Directorate of Roads and Urban Planning of Ilam Province. (In Persian).

Boloorani. A.D, Shorabeh S.N, Neysani Samany. N, Mousivand. A, Kazemi. Y, Jaafarzadeh. N, Zahedi . A, Rabiei.  J. (2021).Vulnerability mapping and risk analysis of sand and dust storms in Ahvaz, IRAN. Environ Pollut.,Jun 15; 279:116859. Doi: 10.1016/j.envpol.2021.116859. Epub 2021 Mar 10. PMID: 33744637.

https://doi.org/10.1016/j.envpol.2021.116859

Cariolet, J.M., Vuillet, M.; Diab, Y.(2019). Mapping urban resilience to disasters–A review. Sustain. Cities Soc. , 51, 101746.

https://doi.org/10.1016/j.scs.2019.101746

Celik, E., Akyuz, E. (2015). A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers, Journal of Loss Prevention in the Process Industries, 38: 243-253.

https://doi.org/10.1016/j.jlp.2015.10.006

Duy, P.N,Chapman, L, Tight, M.(2019). Resilient transport systems to reduce urban vulnerability to floods in emerging-coastal cities: A case study of Ho Chi Minh City, Vietnam. Travel Behav. Soc, 15, 28–43.

https://doi.org/1016/j.tbs.2018.11.001

Estrada, F., Botzen, W.W., Tol, R.S.(2015). Economic losses from US hurricanes consistent with an influence from climate change. Nat. Geosci, 8, 880–884.

https://doi.org/ 10.1038/ngeo2560

Fazel, S, Taghvaei, M. Mahmoudzadeh, A. (2019), Explaining the concept of risk and measuring the seismic risk of urban areas (Case study: Najafabad), Quarterly Journal of Human Geography Research, 51 (1): 1-21. (In Persian).

 https://doi.org/ 10.22059/jhgr.2017.61600

Fakhruddin, B.S., Reinen-Hamill, R., Robertson, R.(2019). Extent and evaluation of vulnerability for disaster risk reduction of urban Nuku’alofa, Tonga. Prog. Disaster Sci, 2, 100017.

https://doi.org/ 10.1016/j.pdisas.2019.100017

Galbusera, L., Giannopoulos, G.(2018). On input-output economic models in disaster impact assessment. Int. J. Disaster Risk Reduct, 30, 186–198.

https://doi.org/ 10.1016/j.ijdrr.2018.04.030

Goli Mokhtari, L, Shakari Badi, A. Bashkani, Zahra (2018), Assessing the vulnerability of Kashan urban area to earthquake hazard using the IHPW model, Environmental Hazards, No. 16, 105-126. (In Persian).

Hakala, E., Lähde, V., Majava, A., Toivanen, T.,Vadén, T., Järvensivu, P., Eronen, J.T. (2019). Northern Warning Lights: Ambiguities of Environmental Security in Finland and Sweden. Sustainability, 11, 2228.

https://doi.org/10.3390/su11082228

Hoffmann, S., Beierkuhnlein, C.(2020). Climate change exposure and vulnerability of the global protected area estate from an international perspective. Divers. Distrib., 26, 1496–1509.

https://doi.org/10.1111/ddi.13136

Khedmatzadeh, A. Mousavi, M. Yousefzadeh, A. (2021), “Analysis of urban vulnerability indicators with an earthquake crisis management approach (case study: Urmia city)”, Human Settlement Planning Studies, 16(1): 43-62. (In Persian).

 Mahmoudi, S.,Jalali, A., Ahmadi, . M , Abasi, P , Salari, N.(2019). Identifying critical success factors in Heart Failure Self-Care using fuzzy DEMATEL method. Appl. Soft Comput. J. 84, 105729.

https://doi.org/10.1016/j.asoc.2019.105729

 Mohammadfam, I., Mirzaei, M,. Aliabadi, A.R. Soltanian, M.(2019). Tabibzadeh and M. Mahdinia, Investigating interactions among vital variables affecting situation awareness based on Fuzzy DEMATEL method. Int. J. Ind. Ergon. 74, 102842.

https://doi.org/10.1016/j.ergon.2019.102842

Majhi, S.K., Hossain, S.S., Padhi, T.(2020). MFOFLANN: Moth flame optimized functional link artificial neural network for prediction of earthquake magnitude. Evol. Syst., 11, 45–63.

https://doi.org/1007/s12530-019-09293-6

Mishra, A., Ghate, R., Maharjan, A., Gurung, J., Pathak, G., Upraity, A.N. (2017).Building ex ante resilience of disaster-exposed mountain communities: Drawing insights from the Nepal earthquake recovery. Int. J. Disaster Risk Reduct., 22, 167–178.

https://doi.org/10.1016/j.ijdrr.2017.03.008

Naik, S.P., Kim, Y.-S., Kim, T., Su-Ho, J.(2017). Geological and structural control on localized ground effects within the Heunghae Basin during the Pohang Earthquake, South Korea. Geosciences 2019, 9, 173.

https://doi.org/10.3390/geosciences9040173

Noy, I., Vu, T.B.(2010). The economics of natural disasters in a developing country: The case of Vietnam. J. Asian Econ, 21, 345–354.

https://doi.org/10.1016/j.asieco.2010.03.002

Pandit, A., Biswal, K.C. (2019). Prediction of earthquake magnitude using adaptive neuro fuzzy inference system. Earth Sci. Inform., 12, 513–524.

https://doi.org/10.1007/s12145-019-00397-w

Pagano, A., Pluchinotta, I., Giordano, R., Vurro, M. (2017). Drinking water supply in resilient cities: Notes from L’Aquila earthquake case study. Sustain. Cities Soc, 28, 435–449.

https://doi.org/10.1016/j.scs.2016.09.005

Parvizian, A, Maleki, S. (2022). Vulnerability of urban areas to earthquake risk based on the IHWP model (case study: areas of Region 6 of Ahvaz metropolis), Scientific Journal of Land Planning, 14 (2): 571-594. (In Persian).

 https://doi.org/10.22059/jtcp.2022.335903.670284

Qureshi, S., Shorabeh, S.N., Samany, N.N., Minaei, F., Homaee, M., Nickravesh, F., Firozjaei, M.K., Arsanjani, J.J.(2021). A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran. Remote Sens, 13, 949.

https://doi.org/10.3390/rs13050949

Shah, A.A., Ye, J., Abid, M., Khan, J., Amir, S.M. (2018). Flood hazards: Household vulnerability and resilience in disaster-prone districts of Khyber Pakhtunkhwa province, Pakistan. Nat. Hazards, 93, 147–165.

https://doi.org/10.1007/s11069-018-3293-0

Schilling, J., Hertig, E., Tramblay, Y., Scheffran, J. (2020). Climate change vulnerability, water resources and social implications in North Africa. Reg. Environ. Chang, 20, 1–12.

https://doi.org/10.1007/s10113-020-01597-7

Shen, S., Cheng, C., Song, C., Yang, J., Yang, S., Su, K., Yuan, L., Chen, X. (2018). Spatial distribution patterns of global natural disasters based on biclustering. Nat. Hazards 2, 92, 1809–1820.

https://doi.org/10.1007/s11069-018-3279-y

Singh, R., Kumar, R. (2015).Vulnerability of water availability in India due to climate change: A bottom-up probabilistic Budyko analysis. Geophys. Res. Lett, 42, 9799–9807.

https://doi.org/10.1002/2015GL066363

Singh, S.J., Fischer-Kowalski, M., Haas, W. (2018). The sustainability of humanitarian aid: The Nicobar Islands as a case of ‘complex disaster’. In The Asian Tsunami and Post-Disaster Aid; Springer: Singapore, pp. 143–165.

https://doi.org/10.1007/978-981-13-0182-7_8

Tavakolinia, J, Zarghami, S. Teymouri, A. Eskanderpour, M. (2019), An analysis of spatial pathology of the physical structure and social fabric of the city with a passive defense approach, case study: District Six of Tehran Metropolitan Area, Applied Research in Geographical Sciences, No. 53, 51-73. (In Persian).

 https://doi.org/10.29252/jgs.19.53.51

Thakkar, J.J. (2021). Decision-Making Trial and Evaluation Laboratory (DEMATEL), Multi-Criteria Decision Making, Studies in Systems, Decision and Control, Springer, Singapore.

https://doi.org/10.1007/978-981-33-4745-8_9

Tziavou, O., Pytharouli, S., Souter, J. (2018). Unmanned Aerial Vehicle (UAV) based mapping in engineering geological surveys: Considerations for optimum results. Eng. Geol, 232, 12–21.

https://doi.org/10.1016/j.enggeo.2017.11.004

 Song,T., Chen, M., Xu, Y., Wang, D., Song, X., Tang, X. (2021). Competition-guided multi-neighborhood local search algorithm for the university course timetabling problem, Appl. Soft Comput. 11, no. 3, 607–624.

https://doi.org/10.1016/j.asoc.2021.107624

Varis, O., Kummu, M., Salmivaara, A. (2012). Ten major rivers in monsoon Asia-Pacific: An assessment of vulnerability. Appl. Geogr, 32, 441–454.

https://doi.org/10.1016/j.apgeog.2011.05.003

Wu, J., He, X., Li, Y., Shi, P., Ye, T., Li, N. (2019). How earthquake-induced direct economic losses change with earthquake magnitude, asset value, residential building structural type and physical environment: An elasticity perspective. J. Environ. Manag, 231, 321–328.

https://doi.org/ 10.1016/j.jenvman.2018.10.050

Xu, Jiuping; & Lu, Yi. (2018). Towards an earthquake-resilient world: from postdisaster reconstruction to pre-disaster prevention. Environmental Hazards, 17(4): 269– 275.

https://doi.org/ 10.1080/17477891.2018.1500878

Yariyan, P., Zabihi, H., Wolf, I.D., Karami, M., Amiriyan, S. (2020). Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran. Int. J. Disaster Risk Reduct, 50, 101705.

https://doi.org/10.1016/j.ijdrr.2020.101705

Ylenia, S., Luca, S., & Maria, R.V. (2021). “Seismic response of masonry buildings in historical centres struck by the 2016 Central Italy earthquake”, Calibration of a vulnerability model for strengthened conditions, Construction and Building Materials, Vol. 299, 123911,

https://doi.org/10.1016/j.conbuildmat.2021.123911.

Yukio, T., Yuichi, S., Yuta, N., Yuichi. O. (2019). “An example of three dimensional ground model development for earthquake response analysis by using a simple ground modeling system”, Japanese Geotechnical Society Special Publication, Vol. 6, Issue 2, pp. 45-52.

https://doi.org/10.3208/jgssp.v06.GIZ07