A Decision Support Model for Improvement of Urban Resilience through Accessibility Analysis

A Decision Support Model for Improvement of Urban Resilience through Accessibility Analysis

Decision support systems provide vital benefits supplying additional information before planning in disaster management. To improve a city's resilience against disasters such organization and maintenance must be conducted during the city planning stage. In this work, an improvement suggestion mechanism is built using risk value estimation through availability of emergency centers and road network redundancy is provided. This approach investigates the study area to determine possible risk zones within the city using routing and road network analysis. Upon investigation of the necessary parameters, a risk value is calculated for each administrative division within a city. These risk values are then passed to the decision support stage in which the system can pick one or several items from a list of improvements to reduce overall riskiness of these divisions. This work combines several ideas of emergency management domain in a formula to provide a quantitative meaning to possible risk within administrative divisions. Decision support aspect can be customized further to help planners have a preliminary analysis by showing the optimal locations to place new emergency management facilities.

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  • Aktas, E., Ozaydin, O., Bozkaya, B., Ulengin, F., & Onsel, S. (2013). Optimizing fire station locations for the Istanbul Metropolitan Municipality. INFORMS Journal on Applied Analytics, 43(3), 240–255.
  • Barth, A.S., & Tomaselli, G.F. (2016). Gene scanning and heart attack risk. Trends in Cardiovascular Medicine, 26(3), 260 – 265.
  • Bonazountas, M., Kallidromitou, D., Kassomenos, P.A., & Passas, N. (2005). Forest fire risk analysis. Human and Ecological Risk Assessment: An International Journal, 11(3), 617–626.
  • Bucher Della Torre, S., Keller, A., Laure Depeyre, J., & Kruseman, M. (2016). Sugar-sweetened beverages and obesity risk in children and adolescents: a systematic analysis on how methodological quality may influence conclusions. Journal of the Academy of Nutrition and Dietetics, 116(4), 638 – 659.
  • Cudnik, M.T., Newgard, C.D., Wang, H., Bangs, C., & Herrington, R. 4th. (2008). Distance impacts mortality in trauma patients with an intubation attempt. Prehospital Emergency Care, 12(4), 459–466.
  • Dai, L., Zhou, J., Chen, L., Huang, K., Wang, Q., & Zha, G. (2019). Flood-risk analysis based on a stochastic differential equation method. Journal of Flood Risk Management, 12(S1), e12515.
  • Erener, A., & Duzgun, H.B.S. (2013). A regional scale quantitative risk assessment for landslides: case of Kumluca watershed in Bartin, Turkey. Landslides, 10(1), 55 – 73.
  • Esri. (2020). World Street Map [online] Retrieved from: https://www.arcgis.com/home/.
  • Google, CNES / Airbus, Landsat / Copernicus, Maxar Technologies (2021). Map data - Istanbul, TR [online] Retrieved from: https://maps.google.com/.
  • Gunes, A.E., & Kovel, J.P. (2000). Using GIS in emergency management operations. Journal of Urban Planning and Development, 126(3), 136–149.
  • Haddad, A.Q., Singla, N., Gupta, N., Raj, G.V., Sagalowsky, A.I., Margulis, V., & Lotan, Y. (2015). Association of distance to treatment facility on quality and survival outcomes after radical cystectomy for bladder cancer. Urology, 85(4), 876—882.
  • Hadimlioglu, I.A., King, S.A., & Starek, M.J., (2020). FloodSim: flood simulation and visualization framework using position-based fluids. ISPRS International Journal of Geo-Information, 9(3).
  • Hansen, S.M., Hansen, C.M., Fordyce, C.B., Dupre, M.E., Monk, L., Tyson. C., … CARES Surveillance Group. (2018). Association between driving distance from nearest fire station and survival of out-of-hospital cardiac arrest. Journal of the American Heart Association, 7(21).
  • Hamalainen, R.P., Lindstedt, M.R.K., & Sinkko, K. (2000). Multiattribute risk analysis in nuclear emergency management. Risk Analysis, 20(4), 455–468.
  • Hart, P., Nilsson, N., & Raphael, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics, 4(2), 100–107.
  • Iida, Y. (1999). Basic concepts and future directions of road network reliability analysis. Journal of Advanced Transportation, 33(2), 125–134.
  • Izmir Fire Department. (2020a). Contact [online] Retrieved from: https://itfaiye.izmir.bel.tr/en/IletisimMap/55/164/.
  • Izmir Fire Department. (2020b). Gathering areas after disaster [online]. Retrieved from: https://itfaiye.izmir.bel.tr/.
  • Jena, R., Pradhan B., Beydoun, G., Nizamuddin, Ardiansyah, Sofyan, H., & Affan, M. (2020). Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia. Geoscience Frontiers, 11(2), 613 – 634.
  • Jenelius, E. (2010). Redundancy importance: Links as rerouting alternatives during road network disruptions. Procedia Engineering, 3, 129 – 137.
  • Jenks, G.F. (1967). The data model concept in statistical mapping. International Yearbook of Cartography, 7, 186–190.
  • Kelly, C., Hulme, C., Farragher, T., & Clarke, G. (2016). Are differences in travel time or distance to healthcare for adults in global north countries associated with an impact on health outcomes? A systematic review. BMJ Open, 6(11).
  • Kiureghian, A.D., & Ang, A.H.S. (1977). A fault-rupture model for seismic risk analysis. Bulletin of the Seismological Society of America, 67(4), 1173–1194.
  • Lhomme, S., Serre, D., Diab, Y., & Laganier, R. (2013). Analyzing resilience of urban networks: a preliminary step towards more flood resilient cities. Natural Hazards and Earth System Sciences, 13(2), 221–230.
  • Liu, N., Huang, B., & Chandramouli, M. (2006). Optimal siting of fire stations using GIS and ANT algorithm. Journal of Computing in Civil Engineering, 20(5), 361–369.
  • Lu Q., George B., & Shekhar S. (2005). Capacity constrained routing algorithms for evacuation planning: A summary of results. In: Bauzer Medeiros C., Egenhofer M.J., & Bertino E. (Eds.), Advances in Spatial and Temporal Databases. Springer, Berlin, Heidelberg.
  • Lv, Y., Huang, G.H., Guo, L., Li, Y.P., Dai, C., Wang, X.W., & Sun, W. (2013). A scenario-based modeling approach for emergency evacuation management and risk analysis under multiple uncertainties. Journal of Hazardous Materials, 246-247, 234 – 244.
  • Maio, R., Ferreira, T.M., & Vicente, R. (2018). A critical discussion on the earthquake risk mitigation of urban cultural heritage assets. International Journal of Disaster Risk Reduction, 27, 239 – 247.
  • Maya Duque, P.A., Dolinskaya, I.S., & Sorensen, K. (2016). Network repair crew scheduling and routing for emergency relief distribution problem. European Journal of Operational Research, 248(1), 272 – 285.
  • Messner, F., & Meyer, V. (2006). Flood damage, vulnerability and risk perception – challenges for flood damage research. In: Flood Risk Management: Hazards, Vulnerability and Mitigation Measures. Dordrecht, Springer Netherlands, 149–167.
  • Nicholl, J., West, J., Goodacre, S., & Turner, J. (2007). The relationship between distance to hospital and patient mortality in emergencies: an observational study. Emergency Medicine Journal, 24, 665– 668.
  • Pathirage, C., Seneviratne, K., Amaratunga, D., & Haigh, R. (2012). Managing disaster knowledge: identification of knowledge factors and challenges. International Journal of Disaster Resilience in the Built Environment, 3(3), 237–252.
  • Rav, M., Lowe, A., & Agarwal, P.K., (2019). Flood risk analysis on terrains. ACM Trans. Spatial Algorithms Syst., 5(1).
  • Republic of Turkey Ministry of Health. (2020). Kamu hastaneleri genel mudurlugu kamu saglik tesisleri guncel listesi [online]. Retrieved from: https://dosyamerkez.saglik.gov.tr/.
  • Taniguchi, E., Ferreira, F., & Nicholson, A. (2012). A conceptual road network emergency model to aid emergency preparedness and response decision-making in the context of humanitarian logistics. Procedia - Social and Behavioral Sciences, 39,307 – 320.
  • Turkish Statistical Institute. (2020). Merkezi dagitim sistemi [online]. Retrieved from: https://biruni.tuik.gov.tr/medas/.
  • Wei, L., Lang, C.C., Sullivan, F.M., Boyle, P., Wang, J., Pringle, S.D., & MacDonald, T.M. (2008). Impact on mortality following first acute myocardial infarction of distance between home and hospital: cohort study. Heart, 94(9), 1141–1146.
  • Xu, X., Chen, A., Jansuwan, S., Heaslip, K., & Yang. C. (2015). Modeling transportation network redundancy. Transportation Research Procedia, 9, 283 – 302.
  • Zhang, L., Lu, Y., & Zhao, Y. (2008). Accessibility assessment and planning of hospital – a case study on Yizheng City. Human Geography, 23(2).
  • Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., … Cao, B. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet, 395(10229), 1054 – 1062.
  • Cinar, A.K., Akgun, Y., & Maral, H. (2018). Analyzing the planning criteria for emergency assembly points and temporary shelter areas: case of Izmir-Karsiyaka. Planning, 28(2), 179–200.
  • Sahin, T., Ocak, S., & Top, M. (2019). Analytic hierarchy process for hospital site selection. Health Policy and Technology, 8(1), 42 – 50.
International Journal of Environment and Geoinformatics-Cover
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 2014
  • Yayıncı: Cem GAZİOĞLU
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