Identification of Optimal Routes in Urban Physical Vulnerable Textures for Emergency Evacuation in Saqez City
Main Article Content
บทคัดย่อ
Article Details

อนุญาตภายใต้เงื่อนไข Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ทัศนะและความคิดเห็นที่ปรากฏในบทความในวารสารศิลปการจัดการ ถือเป็นความรับผิดชอบของผู้เขียนบทความนั้น และไม่ถือเป็นทัศนะและความรับผิดชอบของกองบรรณาธิการ ยินยอมว่าบทความเป็นลิขสิทธิ์ของวารสารศิลปการจัดการ
เอกสารอ้างอิง
Afshari, A., Mojahed, M., & Yusuff, R.M. (2010). Simple Additive Weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1(5), 511.
Assembly, U.G. (1988). International decade for natural disaster reduction: Report of the secretary-general. 43rd Session, Agenda Item, 86.
Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1-13. https://doi.org/10.1016/j.ejor.2015.12.023
Beheshtifar, J. (2012). Analysis of Spatial-Locational Distribution of Health Care and Medical Services and Its Optimalization: (Case Study: Health Care Centers and Hospitals of Jahrom City)[Doctoral dissertation, University of Sistan and Baluchestan].
Blasco, C., & Picó, Y. (2009). Prospects for combining chemical and biological methods for integrated environmental assessment. TrAC Trends in Analytical Chemistry, 28(6), 745-757. https://doi.org/10.1016/j.trac.2009.04.010
Devi, N. N., Sridharan, B., & Kuiry, S. N. (2019). Impact of urban sprawl on future flooding in Chennai city, India. Journal of Hydrology, 574, 486-496. https://doi.org/10.1016/j. jhydrol.2019.04.041
Douglas, J. (2007). Physical vulnerability modelling in natural hazard risk assessment. Natural Hazards and Earth System Sciences, 7(2), 283-288. https://doi.org/10.5194/nhess-7-283-2007
Faizah, C. R. (2015). Study on Early Forcasting of Flood through Historical Hydrologic Data Analysis and Numerical Simulation in Kelantan Watershed, Malaysia[Doctoral dissertation, University of Tokyo]. https://ci.nii.ac.jp/naid/500001040233/?l=en
Fekete, A., Damm, M., & Birkmann, J. (2010). Scales as a challenge for vulnerability assessment. Natural Hazards, 55(3), 729-747. https://doi.org/10.1007/s11069-009-9445-5
Friedman, D. G. (1975). Computer simulation in natural hazard assessment. National Science Foundation.
Ghalehteimouri, K. J., Hatami, A., & Asadzadeh, H. (2020). Measuring the quality of life and city competitiveness: A methodological framework for the Iranian metropolis. Journal of Urban Culture Research, 21, 90-111. https://doi.org/10.14456/jucr.2020.14
Ghalehteimouri, K. J., Nasr, T., & Bakhtiari, L. (2022). A Scenario-based approach for sustainable urban regeneration analysis in Radial-concentric ring cities: A case in Hamedan, Iran. City and Environment Interactions. https://doi.org/10.1016/j.cacint.2022.100089
Ghalehteimouri, K. J., Shamaei, A., & Ros, F.B.C. (2021). Effectiveness of spatial justice in sustainable development and classification of sustainability in Tehran province. Regional Statistics, 11(2), 52-80 https://doi.org:10.15196/RS110201
Hammond, M., Chen, A. S., Batica, J., Butler, D., Djordjević, S., Gourbesville, P., ... & Veerbeek, W. (2018). A new flood risk assessment framework for evaluating the effectiveness of policies to improve urban flood resilience. Urban Water Journal, 15(5), 427-436. https://doi.org/10.1080/1573062X.2018.1508598
Hekmatnia, H., Mousavi, M. N., Ghalehteimouri, K. J., Shamsoddini, A., Kashkouli, A. B., & Jamshidi, A. (2022). Population Aging Tendencies in Islamic Countries Between 1950-2020: A Geographical Assessment. Journal of Population and Social Studies [JPSS], 30, 36-53. http://doi.org/10.25133/JPSSv302022.003
Heydari, A. (2012). Spatial-Physical Analysis of Future development of Saqez city with point on Smart Urban Growth Indicators by Entropy Shannon Model. Geography and Urban Development, 1(2), 67-94. https://dx.doi.org/10.22067/gusd.v0i0.18024
Karimi, H., Amiri, S., Huang, J., & Karimi, A. (2019). Integrating GIS and multi-criteria decision analysis for landfill site selection, case study: Javanrood County in Iran. International Journal of Environmental Science and Technology, 16(11), 7305-7318. https://doi.org/10.1007/s13762-018-2151-7
Khosravi, K., Shahabi, H., Pham, B. T., Adamowski, J., Shirzadi, A., Pradhan, B., ... & Prakash, I. (2019). A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods. Journal of Hydrology, 573, 311-323. https://doi.org/10.1016/j.jhydrol.2019.03.073
Kumar, N., Liu, X., Narayanasamydamodaran, S., & Pandey, K. K. (2021). A systematic review comparing urban flood management practices in India to China’s sponge city program. Sustainability, 13(11), 6346. https://doi.org/10.3390/su13116346
Liew, D.Y.C., & Che Ros, F. (2021). “Quantitative Assessment of Flood Vulnerability in Malaysia”, Alias, N.E., Haniffah, M.R.M. and Harun, S. (Ed.). Water Management and Sustainability in Asia (Community, Environment and Disaster Risk Management, 23, Emerald Publishing Limited, Bingley, pp. 25-32. https://doi.org/10.1108/S2040-726220210000023009
MacArthur, J., & Siwek, S. (2020). Smart, Shared, and Social: Enhancing All-Hazards Recovery Plans with Demand Management Technologies (No. FTA Report No. 0151). United States. Federal Transit Administration. Office of Research, Demonstration, and Innovation. https://doi.org/10.21949/1506050
Memariani, A., & Amini, A., & Alinezhad, A. (2009). Sensitivity analysis of simple additive weighting method (saw): the results of change in the weight of one attribute on the final ranking of alternatives. Journal of Industrial Engineering, 4(4), 13-18.
Milly, P. C., Betancourt, J., Falkenmark, M., Hirsch, R. M., Kundzewicz, Z. W., Lettenmaier, D. P., & Stouffer, R. J. (2008). Stationarity is dead: Whither water management?. Science, 319(5863), 573-574. https://doi.org/10.1126/science.1151915
Mohammadzadeh, A. K., Ghafoori, S., Mohammadian, A., Mohammadkazemi, R., Mahbanooei, B., & Ghasemi, R. (2018). A fuzzy analytic network process (FANP) approach for prioritizing internet of things challenges in Iran. Technology in Society, 53, 124-134. https://doi.org/10.1016/j.techsoc.2018.01.007
Mudashiru, R. B., Sabtu, N., Abdullah, R., Saleh, A., & Abustan, I. (2022). Optimality of flood influencing factors for flood hazard mapping: An evaluation of two multi-criteria decision-making methods. Journal of Hydrology, 612, 128055. https://doi.org/10.1016/j.jhydrol. 2022.128055
Park, K., & Lee, M. H. (2019). The development and application of the urban flood risk assessment model for reflecting upon urban planning elements. Water, 11(5), 920. https://doi.org/10.3390/w11050920
Pighills, A. C., Torgerson, D. J., Sheldon, T. A., Drummond, A. E., & Bland, J. M. (2011). Environmental assessment and modification to prevent falls in older people. Journal of the American Geriatrics Society, 59(1), 26-33. https://doi.org/10.1111/j.1532-5415.2010.03221.x
Poorzahedy, H., & Rezaei, A. (2013). Peer evaluation of multi-attribute analysis techniques: Case of a light rail transit network choice. Scientia Iranica, 20(3), 371-386. https://doi.org/10.1016/j.scient.2012.12.031
Rahmati, O., Zeinivand, H., & Besharat, M. (2016). Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomatics, Natural Hazards and Risk, 7(3), 1000-1017. https://doi.org/10.1080/19475705.2015.1045043
Reza, B., Sadiq, R., & Hewage, K. (2011). Sustainability assessment of flooring systems in the city of Tehran: An AHP-based life cycle analysis. Construction and Building Materials, 25(4), 2053-2066. http://dx.doi.org/10.1016/j.conbuildmat.2010.11.041
Ronco, P., Gallina, V., Torresan, S., Zabeo, A., Semenzin, E., Critto, A., & Marcomini, A. (2014). The KULTURisk Regional Risk Assessment methodology for water-related natural hazards–Part 1: Physical–environmental assessment. Hydrology and Earth System Sciences, 18(12), 5399-5414. http://www.hydrol-earth-syst-sci-discuss.net/11/7827/2014/
Saha, A., Pal, S. C., Santosh, M., Janizadeh, S., Chowdhuri, I., Norouzi, A., ... & Chakrabortty, R. (2021). Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios. Journal of Cleaner Production, 320, 128713. https://doi.org/10.1016/j.jclepro.2021.128713
Seyedmohammadi, J., Sarmadian, F., Jafarzadeh, A. A., Ghorbani, M. A., & Shahbazi, F. (2018). Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops. Geoderma, 310, 178-190. https://doi.org/10.1016/j.geoderma.2017.09.012
Shahraki, S. Z., Sauri, D., Serra, P., Modugno, S., Seifolddini, F., & Pourahmad, A. (2011). Urban sprawl pattern and land-use change detection in Yazd, Iran. Habitat International, 35(4), 521-528. https://doi.org/10.1016/j.habitatint.2011.02.004
Shin, Y. B., Lee, S., Chun, S. G., & Chung, D. (2013). A critical review of popular multi-criteria decision making methodologies. Issues in Information Systems, 14(1), 358-365.
Talkhabi, H., Ghalehteimouri, K. J., Mehranjani, M. S., Zanganeh, A., & Karami, T. (2022). Spatial and temporal population change in the Tehran Metropolitan Region and its consequences on urban decline and sprawl. Ecological Informatics, 70, 101731. https://doi.org/10.1016/j.ecoinf.2022.101731
UNFCCC. (01 SEP, 2021). Climate change leads to more extreme weather, but early warnings save lives. https://unfccc.int/news/climate-change-leads-to-more-extreme-weather-but-early-warnings-save-lives
Van Westen, C. J., Alkema, D., Damen, M. C. J., Kerle, N., & Kingma, N. C. (2011). Multi-hazard risk assessment. ITC School on Disaster Geoinformation Management.
Vlachokostas, C., Michailidou, A. V., & Achillas, C. (2020). Multi-criteria decision analysis towards promoting waste-to-energy management strategies: a critical review. Renewable and Sustainable Energy Reviews, 138, 110563. https://doi.org/10.1016/j.rser.2020.110563
Zhao, J., Ji, G., Tian, Y., Chen, Y., & Wang, Z. (2018). Environmental vulnerability assessment for mainland China based on entropy method. Ecological Indicators, 91, 410-422. https://doi.org/10.1016/j.ecolind.2018.04.016