Flood evacuation and rescue: The identification of critical road segments using whole-landscape features

Aksu, 2014, A mathematical model for post-disaster road restoration: enabling accessibility and evacuation, Transport Res E-Log, 61, 56, 10.1016/j.tre.2013.10.009 Amin, 2008, Challenges in reliability, security, efficiency, and resilience of energy infrastructure: toward smart self-healing electric power grid, 1 Balijepalli, 2014, Measuring vulnerability of road network considering the extent of serviceability of critical road links in urban areas, J. Transp. Geogr., 39, 145, 10.1016/j.jtrangeo.2014.06.025 Bell, 2008, Attacker–defender models and road network vulnerability, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 366, 1893, 10.1098/rsta.2008.0019 Bíl, 2015, Evaluating road network damage caused by natural disasters in the Czech Republic between 1997 and 2010, Transp. Res. A Policy Pract., 80, 90, 10.1016/j.tra.2015.07.006 Bono, 2011, A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks, J. Transp. Geogr., 19, 1443, 10.1016/j.jtrangeo.2011.08.002 Bono, 2010, Road traffic: a case study of flow and path-dependency in weighted directed networks, Physica A: Statistical Mechanics and Its Applications, 389, 5287, 10.1016/j.physa.2010.06.058 Borgatti, 2005, Centrality and network flow, Soc. Networks, 27, 55, 10.1016/j.socnet.2004.11.008 Brown, 2006, Defending critical infrastructure, INFORMS Journal on Applied Analytics, 36, 530, 10.1287/inte.1060.0252 Burghouwt, G., & Redondi, R. (2013, January). Connectivity in Air Transport Networks: An Assessment of Models and Applications [Text]. Retrieved January 30, 2019, from https://www.ingentaconnect.com/content/lse/jtep/2013/00000047/00000001/art00003 Cavalli, 2010, Influence of characteristics and extension of a forest road network on the supply cost of forest woodchips, J. For. Res., 15, 202, 10.1007/s10310-009-0170-4 Connelly, 2006, The economic costs of road traffic crashes: Australia, states and territories, Accid. Anal. Prev., 38, 1087, 10.1016/j.aap.2006.04.015 Cova, 2003, A network flow model for lane-based evacuation routing, Transp. Res. A Policy Pract., 37, 579, 10.1016/S0965-8564(03)00007-7 Croope, 2011, Improving resilience of critical infrastructure systems postdisaster: recovery and mitigation, Transp. Res. Rec., 2234, 3, 10.3141/2234-01 Crucitti, 2006, Centrality in networks of urban streets, Chaos: An Interdisciplinary Journal of Nonlinear Science, 16, 10.1063/1.2150162 Curtis, 2010, Identifying spatial patterns of recovery and abandonment in the post-Katrina Holy Cross neighborhood of New Orleans, Cartogr. Geogr. Inf. Sci., 37, 45, 10.1559/152304010790588043 De Martino, 2009, Congestion phenomena on complex networks, Phys. Rev. E, 79, 10.1103/PhysRevE.79.015101 Expert, 2011, Uncovering space-independent communities in spatial networks, Proc. Natl. Acad. Sci., 108, 7663, 10.1073/pnas.1018962108 Fehske, 2011, The global footprint of mobile communications: the ecological and economic perspective, IEEE Commun. Mag., 49, 55, 10.1109/MCOM.2011.5978416 Florida Building Footprints (2017). Oak Ridge National Laboratory HIFLD Florida Building Footprints dataset. Retrieved February 2019 from https://respond-irma-geoplatform.opendata.arcgis.com/datasets/florida-building-footprints Freeman, 1977, A set of measures of centrality based on betweenness, Sociometry, 40, 35, 10.2307/3033543 Garavello, 2006, Traffic flow on a road network using the Aw–Rascle model, Communications in Partial Differential Equations, 31, 243, 10.1080/03605300500358053 Geographic Information Services (2016). Volusia County Florida Geographic Information Services. Retrieved February 2019 from https://www.volusia.org/services/business-services/information-technology/geographic-information-services/ Gil, 2017, Street network analysis “edge effects”: examining the sensitivity of centrality measures to boundary conditions, Environment and Planning B: Urban Analytics and City Science, 44, 819 Godschalk, 2003, Urban hazard mitigation: creating resilient cities, Natural Hazards Review, 4, 136, 10.1061/(ASCE)1527-6988(2003)4:3(136) Grubesic, 2013, A typological framework for categorizing infrastructure vulnerability, GeoJournal, 78, 287, 10.1007/s10708-011-9411-0 Grubesic, 2006, Vital nodes, interconnected infrastructures, and the geographies of network survivability, Ann. Assoc. Am. Geogr., 96, 64, 10.1111/j.1467-8306.2006.00499.x Grubesic, 2008, Comparative approaches for assessing network vulnerability, Int. Reg. Sci. Rev., 31, 88, 10.1177/0160017607308679 Guimerá, 2004, Modeling the world-wide airport network, Eur. Phys. J. B, 38, 381, 10.1140/epjb/e2004-00131-0 Gupta, 2007, Urban flood resilience planning and management and lessons for the future: a case study of Mumbai, India, Urban Water J., 4, 183, 10.1080/15730620701464141 Helderop, 2019, Hurricane storm surge in Volusia County, Florida: evidence of a tipping point for infrastructure damage, Disasters, 43, 157, 10.1111/disa.12296 Helderop, 2019, Streets, storm surge, and the frailty of urban transport systems: a grid-based approach for identifying informal street network connections to facilitate mobility, Transp. Res. Part D: Transp. Environ., 10.1016/j.trd.2018.12.024 Henry, 2017, Influence of road network and population demand assumptions in evacuation modeling for distant tsunamis, Nat. Hazards, 85, 1665, 10.1007/s11069-016-2655-8 Hines, 2008, A centrality measure for electrical networks, 185 Horner, 2011, The effects of transportation network failure on people's accessibility to hurricane disaster relief goods: a modeling approach and application to a Florida case study, Nat. Hazards, 59, 1619, 10.1007/s11069-011-9855-z Iida, 1999, Basic concepts and future directions of road network reliability analysis, J. Adv. Transp., 33, 125, 10.1002/atr.5670330203 Jenelius, 2006, Importance and exposure in road network vulnerability analysis, Transp. Res. A Policy Pract., 40, 537, 10.1016/j.tra.2005.11.003 Jiang, 2010, Key nodes and corridors identifying method for large-scale evacuation network based on information centrality Karduni, 2016, A protocol to convert spatial polyline data to network formats and applications to world urban road networks, Scientific Data, 3, 10.1038/sdata.2016.46 Kitagawa, 2017, Preparing for disaster: a comparative analysis of education for critical infrastructure collapse, Journal of Risk Research, 20, 1450, 10.1080/13669877.2016.1178661 Kovacs, 2011, Mobile broadband traffic forecast modeling for network evolution studies, 1 Leung, 2004, A risk-based approach to setting priorities in protecting bridges against terrorist attacks, Risk Anal., 24, 963, 10.1111/j.0272-4332.2004.00500.x Li, 2009, Transportation network reconstruction for natural disasters in the emergency phase based on connectivity reliability Li, 2015, Percolation transition in dynamical traffic network with evolving critical bottlenecks, Proc. Natl. Acad. Sci., 112, 669, 10.1073/pnas.1419185112 Lin, 2011, Fast model predictive control for urban road networks via MILP, IEEE Trans. Intell. Transp. Syst., 12, 846, 10.1109/TITS.2011.2114652 Lord, 2004, Estimating the safety performance of urban road transportation networks, Accid. Anal. Prev., 36, 609, 10.1016/S0001-4575(03)00069-1 Lu, 2015, Identification and prioritization of critical transportation infrastructure: case study of coastal flooding, J. Transp. Eng., 141, 10.1061/(ASCE)TE.1943-5436.0000743 Marinov, 2011, A mesoscopic simulation modelling methodology for analyzing and evaluating freight train operations in a rail network, Simul. Model. Pract. Theory, 19, 516, 10.1016/j.simpat.2010.08.009 Matisziw, 2012, Robustness elasticity in complex networks, PLoS One, 7, 10.1371/journal.pone.0039788 Morris, 2012, Transport on coupled spatial networks, Phys. Rev. Lett., 109, 128703, 10.1103/PhysRevLett.109.128703 Muller, 2001, A climatology of tropical storm and hurricane strikes to enhance vulnerability prediction for the southeast U.S. coast, J. Coast. Res., 17 Opper, 2010, Timeline modelling of flood evacuation operations, Procedia Engineering, 3, 175, 10.1016/j.proeng.2010.07.017 Pagani, 2013, The power grid as a complex network: a survey, Physica A: Statistical Mechanics and Its Applications, 392, 2688, 10.1016/j.physa.2013.01.023 Plattner, 2004, An economic damage model for large-scale internet attacks, 223 Price, 2008, Urban flood disaster management, Urban Water J., 5, 259, 10.1080/15730620802099721 Ragi, 2013 Rutledge, 1982, Hydrology of the Floridian aquifer in northwest Volusia County, Florida Sakakibara, 2004, Road network robustness for avoiding functional isolation in disasters, J. Transp. Eng., 130, 560, 10.1061/(ASCE)0733-947X(2004)130:5(560) Scellato, 2006, The backbone of a city, The European Physical Journal B - Condensed Matter and Complex Systems, 50, 221, 10.1140/epjb/e2006-00066-4 Scott, 2006, Network Robustness Index: a new method for identifying critical links and evaluating the performance of transportation networks, J. Transp. Geogr., 14, 215, 10.1016/j.jtrangeo.2005.10.003 Sohn, 2006, Evaluating the significance of highway network links under the flood damage: an accessibility approach, Transp. Res. A Policy Pract., 40, 491, 10.1016/j.tra.2005.08.006 Staff, 2001 Statewide Land Use Stergiopoulos, 2015, Risk mitigation strategies for critical infrastructures based on graph centrality analysis, Int. J. Crit. Infrastruct. Prot., 10, 34, 10.1016/j.ijcip.2015.05.003 Sullivan, 2010, Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: a link-based capacity-reduction approach, Transp. Res. A Policy Pract., 44, 323, 10.1016/j.tra.2010.02.003 Sumalee, 2006, Network capacity reliability analysis considering traffic regulation after a major disaster, Netw. Spat. Econ., 6, 205, 10.1007/s11067-006-9280-0 Tan, 2017, The identification of critical nodes in ad hoc network based on node degree and clustering coefficient, Adv. Mater. Sci. Eng., 60, 304 Tatano, 2008, A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach, Nat. Hazards, 44, 253, 10.1007/s11069-007-9151-0 Taylor, 2007, Transport network vulnerability: a method for diagnosis of critical locations in transport infrastructure systems, 9 Taylor, 2012, Remoteness and accessibility in the vulnerability analysis of regional road networks, Transp. Res. A Policy Pract., 46, 761, 10.1016/j.tra.2012.02.008 Tingsanchali, 2012, Urban flood disaster management, Procedia Engineering, 32, 25, 10.1016/j.proeng.2012.01.1233 Unsalan, 2012, Road network detection using probabilistic and graph theoretical methods, IEEE Trans. Geosci. Remote Sens., 50, 4441, 10.1109/TGRS.2012.2190078 Upchurch, 2004, Using GIS to generate mutually exclusive service areas linking travel on and off a network, J. Transp. Geogr., 12, 23, 10.1016/j.jtrangeo.2003.10.001 Urban Street Design Guide. (2013). National Association of City Transportation Officials. Retrieved February 2019 from https://nacto.org/publication/urban-street-design-guide/ Versini, 2012, Use of radar rainfall estimates and forecasts to prevent flash flood in real time by using a road inundation warning system, J. Hydrol., 416–417, 157, 10.1016/j.jhydrol.2011.11.048 Wang, 2011, Exploring the network structure and nodal centrality of China's air transport network: a complex network approach, J. Transp. Geogr., 19, 712, 10.1016/j.jtrangeo.2010.08.012 Wei, 2015, A typology of rural airports in the United States: evaluating network accessibility, Rev. Reg. Stud., 45, 57 Wood, 2012, Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the US Pacific northwest, Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 62, 275, 10.1007/s11069-011-9994-2 Wu, 2008, Dynamic urban traffic flow behavior on scale-free networks, Physica A: Statistical Mechanics and Its Applications, 387, 653, 10.1016/j.physa.2007.09.020 Xian, 2011, The change of impervious surface area between 2001 and 2006 in the conterminous United States, Photogramm. Eng. Remote. Sens., 77, 758 Yang, 2018, Criticality ranking for components of a transportation network at risk from tropical cyclones, International Journal of Disaster Risk Reduction, 28, 43, 10.1016/j.ijdrr.2018.02.017 Zhang, 2016, Resilience-based risk mitigation for road networks, Struct. Saf., 62, 57, 10.1016/j.strusafe.2016.06.003