ASF DAAC: ALOS PALSAR High Resolution Radiometric Terrain Corrected Product [data set], NASA Alaska Satellite Facility Distributed Active Archive Center, https://doi.org/10.5067/Z97HFCNKR6VA, 2014.
Aven, T.: A risk concept applicable for both probabilistic and non-probabilistic perspectives, Saf. Sci., 49, 1080–1086, https://doi.org/10.1016/j.ssci.2011.04.017, 2011.
Bar-Gera, H.: Origin-Based Algorithm for the Traffic Assignment Problem, Transp. Sci., 36, 398–417, https://doi.org/10.1287/trsc.36.4.398.549, 2002.
Beckmann, M., McGuire, C., and Winsten, C.: Studies in the economics of transportation, Working Paper RM-1488, RAND Corp., Santa Monica, CA,
https://www.rand.org/pubs/research_memoranda/RM1488.html (last access: 24 April 2026), 1955.
Berdica, K.: An introduction to road vulnerability: what has done is done and should be done, Transp. Policy, 9, 117–127, https://doi.org/10.1016/S0967-070X(02)00011-2, 2002.
Bocchini, P. and Frangopol, D. M.: Generalized bridge network performance analysis with correlation and time-variant reliability, Struct. Saf., 33, 155–164, https://doi.org/10.1016/j.strusafe.2011.02.002, 2011.
Coles, D., Yu, D., Wilby, R. L., Green, D., and Herring, Z.: Beyond 'flood hotspots': modelling emergency service accessibility during flooding in York, UK, J. Hydrol., 546, 419–436, https://doi.org/10.1016/j.jhydrol.2016.12.013, 2017.
Contreras-Jara, M., Echaveguren, T., Vargas, J., Chamorro, A., and de Solminihac, H.: Reliability-based estimation of traffic interruption probability due to road waterlogging, J. Adv. Transp., 2018, https://doi.org/10.1155/2018/2850546, 2018.
Contreras-Jara, M., Echaveguren, T., Chamorro, A., and Vargas-Baecheler, J.: Estimation of exceedance probability of scour on bridges using reliability principles, J. Hydrol. Eng., 26, 04021029, https://doi.org/10.1061/(ASCE)HE.1943-5584.0002109, 2021.
Contreras-Jara, M., Echaveguren, T., Allen, E., Chamorro, A., and Vargas-Baecheler, J.: Road Network Flood Risk Dataset – Aconcagua River Basin, Datos de Investigación UC [data set], https://doi.org/10.60525/04teye511/FHGMNE, 2026.
Ford, A., Barr, S., Dawson, R., and James, P.: Transport accessibility analysis using GIS: assessing sustainable transport in London, ISPRS Int. J. Geo-Inf., 4, 124–149, https://doi.org/10.3390/ijgi4010124, 2015.
Gomez, F. J., Jafarzadegan, K., Moftakhari, H., and Moradkhani, H.: Probabilistic flood inundation mapping through copula Bayesian multi-modeling of precipitation products, Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, 2024.
Gouldby, B. and Samuels, P.: Language of Risk. Project Definition, FLOODsite Report T32-04-01, HR Wallingford, Wallingford, United Kingdom, 56 pp., 2005.
Hackl, J., Lam, J. C., Heitzler, M., Adey, B. T., and Hurni, L.: Estimating network related risks: A methodology and an application in the transport sector, Nat. Hazards Earth Syst. Sci., 18, 2273–2293, https://doi.org/10.5194/nhess-18-2273-2018, 2018.
Hall, J., Dawson, R., Manning, L., Walkden, M., Dickson, M., and Sayers, P.: Managing changing risks to infrastructure systems, P. I. Civil Eng.-Civ. En., 159, 21–27, https://doi.org/10.1680/cien.2006.159.6.21, 2006.
Huang, T. and Merwade, V.: Uncertainty analysis and quantification in flood insurance rate maps using Bayesian model averaging and hierarchical BMA, J. Hydrol. Eng., 28, 04022038, https://doi.org/10.1061/JHYEFF.HEENG-5851, 2022.
Huang, T. and Merwade, V.: Beyond a fixed number: investigating uncertainty in popular evaluation metrics of ensemble flood modeling using bootstrapping analysis, J. Flood Risk Manag., 17, e12982, https://doi.org/10.1111/jfr3.12982, 2024.
Hung, C. C. and Yau, W. G.: Vulnerability evaluation of scoured bridges under floods, Eng. Struct., 132, 288–299, https://doi.org/10.1016/j.engstruct.2016.11.044, 2017.
Klinga, J. V. and Alipour, A.: Assessment of structural integrity of bridges under extreme scour conditions, Eng. Struct., 82, 55–71, https://doi.org/10.1016/j.engstruct.2014.07.021, 2015.
Kron, W.: Flood risk
= hazard
⋅ values
⋅ vulnerability, Water Int., 30, 58–68, https://doi.org/10.1080/02508060508691837, 2005.
Kumar, P.: Static Traffic Assignment using User Equilibrium and Stochastic User Equilibrium – Python Code (V2.0), Zenodo [code], https://doi.org/10.5281/zenodo.3479554, 2019.
Lam, J. C. and Adey, B. T.: Functional loss assessment and restoration analysis to quantify indirect consequences of hazards, ASCE-ASME J. Risk. U. A., 2, 04016008, https://doi.org/10.1061/AJRUA6.0000877, 2016.
Lertworawanich, P.: Highway network restoration after the great flood in Thailand, Nat. Hazards, 64, 873–886, https://doi.org/10.1007/s11069-012-0278-2, 2012.
Lugeri, N., Kundzewicz, Z. W., Genovese, E., Hochrainer, S., and Radziejewski, M.: River flood risk and adaptation in Europe – assessment of the present status, Mitig. Adapt. Strateg. Glob. Change, 15, 621–639, 2010.
MDS: Unit Prices 2020, Ministry of Social Development, Chile,
https://sni.gob.cl/wp-content/uploads/Precios-Sociales-2020.pdf (last access: 22 September 2026), 2020 (in Spanish).
Menoni, S., Molinari, D., Parker, D., Ballio, F., and Tapsell, S.: Assessing multifaceted vulnerability and resilience in order to design risk-mitigation strategies, Nat. Hazards, 64, 2057–2082, https://doi.org/10.1007/s11069-012-0134-4, 2012.
Merz, B., Elmer, F., and Thieken, A. H.: Significance of ”high probability/low damage” versus “low probability/high damage” flood events, Nat. Hazards Earth Syst. Sci., 9, 1033–1046, https://doi.org/10.5194/nhess-9-1033-2009, 2009.
Ministry of Public Works (MOP): Diagnosis and classification of water streams and bodies of water according to quality objective: The Aconcagua river basin, General Directorate of Waters, Santiago, Chile, 160 pp., 2004.
Ministry of Public Works (MOP): Georeferenced observatory, Dirección General de Aguas [data set],
https://snia.mop.gob.cl/observatorio/ (last access: 22 September 2026), 2017.
Ministry of Public Works (MOP): Update of HDM-4 Model Parameters, Contract DV N° 2616 Final Report, Highways Directorate, Santiago, Chile, 124 pp., 2018.
Ministry of Public Works (MOP): Hydrometeorological information and water quality online, MOP [data set], Dirección General de Aguas,
https://snia.mop.gob.cl/dgasat/pages/dgasat_param/dgasat_param.jsp?param=1 (last access: 15 November 2019), 2019a.
Ministry of Public Works (MOP): National Road Network 2020, Dirección de Vialidad [data set],
https://mapasvialidad.mop.gob.cl/visores-2/ (last access: 22 September 2026), 2020b.
Ministry of Public Works (MOP): National Traffic Survey 2019, Dirección de Vialidad [data set],
https://vialidad.mop.gob.cl/uploads/sites/9/2025/06/2019.zip (last access: 22 September 2026), 2020c.
Moghtadernejad, S., Adey, B. T., and Hackl, J.: Determination of postdisaster restoration programs for road networks using a double-stage optimization approach, J. Infrastruct. Syst., 28, 04022025, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000700, 2022.
Nelson, A., Lindberg, S., Stephenson, L., Halpern, J., Arroyo, F., Espinet, X., and González, M. C.: Coupling natural hazard estimates with road network analysis to assess vulnerability and risk: case study of Freetown, Transp. Res. Rec., 2673, 11–24, https://doi.org/10.1177/0361198118822272, 2019.
Nie, Y., Zhang, H. M., and Lee, D-H.: Models and algorithms for the traffic assignment problem with link capacity constraints, Transp. Res. Pt. B, 38, 285–312, https://doi.org/10.1016/S0191-2615(03)00010-9, 2004.
Papilloud, T., Steiner, A., Zischg, A., and Keiler, M.: Road network disruptions during extreme flooding events and their impact on the access to emergency medical services: a spatiotemporal vulnerability analysis, Sci. Total Environ., 956, 177140, https://doi.org/10.1016/j.scitotenv.2024.177140, 2024.
Pedrozo-Acuña, A., Moreno, G., Mejía-Estrada, P., Paredes-Victoria, P., Breña-Naranjo, J. A., and Meza, C.: Integrated approach to determine highway flooding and critical points of drainage, Transp. Res. Pt. D, 50, 182–191, https://doi.org/10.1016/j.trd.2016.11.004, 2017.
Penning-Rowsell, E. C. and Green, C.: New insights into the appraisal of flood-alleviation benefits (2) the broader context, Water Environ. J., 14, 354–362, https://doi.org/10.1111/j.1747-6593.2000.tb00273.x, 2000.
Pregnolato, M., Ford, A., Glenis, V., Wilkinson, S. M., and Dawson, R. J.: Impact of climate change on disruption to urban transport networks from pluvial flooding, J. Infrastruct. Syst., 23, 04017015, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000372, 2017a.
Pregnolato, M., Ford, A., Wilkinson, S. M., and Dawson, R. J.: The impact of flooding on road transport: a depth-disruption function, Transp. Res. Pt. D, 55, 67–81, https://doi.org/10.1016/j.trd.2017.06.020, 2017b.
Pyatkova, K., Chen, A., Djordjevic, S., Butler, D., Vojinovic, Z., Abebe, Y., and Hammond, M.: Flood impacts on road transportation using microscopic traffic modelling techniques, in: Simulating Urban Traffic Scenarios, edited by: Behrisch, M. and Weber, M., Springer, Berlin/Heidelberg, Germany, 115–126, https://doi.org/10.1007/978-3-319-33616-9, 2019.
QGIS Development Team: QGIS Geographic Information System, Open Source Geospatial Foundation Project [software],
http://qgis.org (last access: 10 August 2026), 2026.
Qiao, Y., Wang, Y., Jin, N., Zhang, S., Giustozzi, F., and Ma, T.: Assessing flood risk to urban road users based on rainfall scenario simulations, Transp. Res. Pt. D, 123, 103919, https://doi.org/10.1016/j.trd.2023.103919, 2023.
Rebally, A., Valeo, C., Saidi, S., and He, J.: Assessing the temporal qualities of indirect impacts of flooding on traffic, Int. J. Disaster Risk Reduct., 135, 106035, https://doi.org/10.1016/j.ijdrr.2026.106035, 2026.
Sahani, J., Kumar, P., Debele, S., Spyrou, C., Loupis, M., Aragao, L., Porcù, F., Shan, M. A. R., and Di Sabatino, S.: Hydrometeorological risk assessment methods and management by nature-based solutions, Sci. Total Environ., 696, 133936, https://doi.org/10.1016/j.scitotenv.2019.133936, 2019.
Scorzini, A. R. and Leopardi, M.: River basin planning: from qualitative to quantitative flood risk assessment: the case of Abruzzo Region (central Italy), Nat. Hazards, 88, 71–93, https://doi.org/10.1007/s11069-017-2857-8, 2017.
Scott, D., Novak, D. C., Aultman-Hall, L., and Guo, F.: Network robustness index: a new method for identifying critical links and evaluating the performance of transportation networks, J. Transp. Geogr., 14, 215–227, https://doi.org/10.1016/j.jtrangeo.2005.10.003, 2006.
Shahdani, F. J., Santamaria-Ariza, M., Sousa, H., Coelho, M., and Matos, J. C.: Assessing flood indirect impacts on road transport networks applying mesoscopic traffic modelling: the case study of Santarém, Portugal, Appl. Sci., 12, 3076, https://doi.org/10.3390/app12063076, 2022.
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., and Kim, S.: Flood inundation modelling: a review of methods, recent advances and uncertainty analysis, Environ. Modell. Softw., 90, 201–216, https://doi.org/10.1016/j.envsoft.2017.01.006, 2017.
TRB: Highway Capacity Manual, 5th edn., Transportation Research Board, Washington, DC, United States, ISBN Vol. 2 9780309160797, 2010.
TRB: Highway Capacity Manual: A Guide for Multimodal Mobility Analysis, 6th edn., Transportation Research Board, Washington, DC, United States, ISBN 978-0-309-36997-8, 2016.
Tsakiris, G.: Flood risk assessment: concepts, modelling, applications, Nat. Hazards Earth Syst. Sci., 14, 1361–1369, https://doi.org/10.5194/nhess-14-1361-2014, 2014.
U.S. Army Corps of Engineers (USACE): HEC-RAS River Analysis System User's Manual v5.0, Institute for Water Resources Hydrologic Engineering Center (CEIWR-HEC), California, United States, 960 pp., 2016.
van Ginkel, K. C. H., Dottori, F., Alfieri, L., Feyen, L., and Koks, E. E.: Flood risk assessment of the European road network, Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021, 2021.
Verni, F. and King, H.: Estimación de crecidas en cuencas no controladas, in: Proceedings of the 3rd National Colloquium of Hydraulic Engineering of the Chilean Society of Hydraulic Engineering, Santiago, Chile, 29 November–1 December, 357–374, 1977.
Versini, P.-A., Gaume, E., and Andrieu, H.: Assessment of the susceptibility of roads to flooding based on geographical information – test in a flash flood prone area (the Gard region, France), Nat. Hazards Earth Syst. Sci., 10, 793–803, https://doi.org/10.5194/nhess-10-793-2010, 2010.
Vincendon, B., Édouard, S., Dewaele, H., Ducrocq, V., Lespinas, F., Delrieu, G., and Anquetin, S.: Modeling flash floods in southern France for road management purposes, J. Hydrol., 541, 190–205, https://doi.org/10.1016/j.jhydrol.2016.05.054, 2016.
Wang, W., Yang, S., Gao, J., Hu, F., Zhao, W., and Stanley, H. E.: An integrated approach for assessing the impact of large-scale future floods on a highway transport system, Risk Anal., 40, 1780–1794, https://doi.org/10.1111/risa.13507, 2020.
Wisetjindawat, W., Kermanshah, A., Derrible, S., and Fujita, M.: Stochastic modeling of road system performance during multihazard events: flash floods and earthquakes, J. Infrastruct. Syst., 23, 04017031, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000391, 2017.
Zhang, N. and Alipour, A.: Integrated framework for risk and resilience assessment of the road network under inland flooding, Transp. Res. Rec., 2673, 182–190, https://doi.org/10.1177/0361198119855975, 2019.
Zhang, N. and Alipour, A.: Multi-scale robustness model for highway networks under flood events, Transp. Res. Pt. D, 83, 102281, https://doi.org/10.1016/j.trd.2020.102281, 2020.
Zhang, N. and Alipour, A.: Flood risk assessment and application of risk curves for design of mitigation strategies, Int. J. Crit. Infrastruct. Prot., 36, 100490, https://doi.org/10.1016/j.ijcip.2021.100490, 2022.
Ziya, O. and Safaie, A.: Probabilistic modeling framework for flood risk assessment: a case study of Poldokhtar city, J. Hydrol. Reg. Stud., 47, 101393, https://doi.org/10.1016/j.ejrh.2023.101393, 2023.
