River flood risk assessment for the Chinese road network
暂无分享,去创建一个
[1] Zhiming Zhang,et al. Assessing the urban road waterlogging risk to propose relative mitigation measures. , 2022, The Science of the total environment.
[2] Xiaodi Huang,et al. Vulnerability assessment of urban road traffic systems based on traffic flow , 2022, Int. J. Crit. Infrastructure Prot..
[3] M. Barthelemy,et al. Local impacts on road networks and access to critical locations during extreme floods , 2022, Scientific Reports.
[4] Ming Wang,et al. An empirical approach for developing functions for the vulnerability of roads to tropical cyclones , 2022, Transportation Research Part D: Transport and Environment.
[5] L. Mussone,et al. Rural road network performance and pre-disaster planning: an assessment methodology considering redundancy , 2021, Transportation Planning and Technology.
[6] G. Brakenridge,et al. Satellite imaging reveals increased proportion of population exposed to floods , 2021, Nature.
[7] B. Jongman. The fraction of the global population at risk of floods is growing , 2021, Nature.
[8] E. Koks,et al. A River Flood and Earthquake Risk Assessment of Railway Assets along the Belt and Road , 2021, International Journal of Disaster Risk Science.
[9] Hongliang Jia,et al. Flash flood vulnerability assessment of roads in China based on support vector machine , 2021, Geocarto International.
[10] L. Feyen,et al. Flood risk assessment of the European road network , 2021, Natural Hazards and Earth System Sciences.
[11] M. Keiler,et al. Flood exposure analysis of road infrastructure – Comparison of different methods at national level , 2020 .
[12] Alice Alipour,et al. Multi-scale robustness model for highway networks under flood events , 2020 .
[13] Hanadi S. Rifai,et al. Characterization of vulnerability of road networks to fluvial flooding using SIS network diffusion model , 2020, Journal of Infrastructure Preservation and Resilience.
[14] Geoff Boeing,et al. Spatial Information and the Legibility of Urban Form: Big Data in Urban Morphology , 2019, Int. J. Inf. Manag..
[15] Rob Lamb,et al. A Probabilistic Model of the Economic Risk to Britain's Railway Network from Bridge Scour During Floods , 2019, Risk analysis : an official publication of the Society for Risk Analysis.
[16] Alice Alipour,et al. Integrated Framework for Risk and Resilience Assessment of the Road Network under Inland Flooding , 2019, Transportation Research Record: Journal of the Transportation Research Board.
[17] E E Koks,et al. A global multi-hazard risk analysis of road and railway infrastructure assets , 2019, Nature Communications.
[18] Dai Yamazaki,et al. MERIT Hydro: A High‐Resolution Global Hydrography Map Based on Latest Topography Dataset , 2019, Water Resources Research.
[19] W. Tian,et al. Hazard zoning of trunk highway slope disasters: a case study in northern Shaanxi, China , 2018, Bulletin of Engineering Geology and the Environment.
[20] Isabelle Braud,et al. A surface runoff mapping method for optimizing risk assessment on railways , 2018, Safety Science.
[21] C. Reale,et al. Fragility curves for rainfall-induced shallow landslides on transport networks , 2018, Canadian Geotechnical Journal.
[22] M. Huijbregts,et al. Global patterns of current and future road infrastructure , 2018 .
[23] Bryan T. Adey,et al. Stress tests for a road network using fragility functions and functional capacity loss functions , 2018, Reliab. Eng. Syst. Saf..
[24] Yu Ye,et al. How block density and typology affect urban vitality: an exploratory analysis in Shenzhen, China , 2018 .
[25] A Ford,et al. Impact of climate change on disruption to urban transport networks from pluvial flooding , 2017 .
[26] A. Millard‐Ball,et al. The world’s user-generated road map is more than 80% complete , 2017, PloS one.
[27] R. Dawson,et al. The impact of flooding on road transport: A depth-disruption function , 2017 .
[28] Geoff Boeing,et al. A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood , 2017, Environment and Planning B: Urban Analytics and City Science.
[29] Jin-Man Kim,et al. Flood fragility analysis for bridges with multiple failure modes , 2017 .
[30] Suren Chen,et al. Multiple-Hazard Fragility and Restoration Models of Highway Bridges for Regional Risk and Resilience Assessment in the United States: State-of-the-Art Review , 2017 .
[31] Sybil Derrible,et al. Robustness of road systems to extreme flooding: using elements of GIS, travel demand, and network science , 2017, Natural Hazards.
[32] Koji Ichii,et al. Development of fragility curves for railway embankment and ballast scour due to overtopping flood flow , 2016 .
[33] Geoff Boeing,et al. OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks , 2016, Comput. Environ. Urban Syst..
[34] Duanbing Chen,et al. Vital nodes identification in complex networks , 2016, ArXiv.
[35] Sybil Derrible,et al. A protocol to convert spatial polyline data to network formats and applications to world urban road networks , 2016, Scientific Data.
[36] Jeroen C. J. H. Aerts,et al. FLOPROS: an evolving global database of flood protection standards , 2016 .
[37] Erik Jenelius,et al. Vulnerability and resilience of transport systems : A discussion of recent research , 2015 .
[38] Chunchao Chu,et al. Highway flood disaster risk evaluation and management in China , 2015, Natural Hazards.
[39] Pascal Neis,et al. A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis , 2014, Trans. GIS.
[40] R. Katz,et al. Non-stationary extreme value analysis in a changing climate , 2014, Climatic Change.
[41] Pascal Neis,et al. Quality assessment for building footprints data on OpenStreetMap , 2014, Int. J. Geogr. Inf. Sci..
[42] Brenden Jongman,et al. Assessing flood risk at the global scale: model setup, results, and sensitivity , 2013 .
[43] S. Kanae,et al. Global flood risk under climate change , 2013 .
[44] Arthur C. Miller,et al. Estimating the Impacts of Climate Change and Population Growth on Flood Discharges in the United States , 2012 .
[45] Jamie E. Padgett,et al. Statistical analysis of coastal bridge vulnerability based on empirical evidence from Hurricane Katrina , 2012 .
[46] M. Bierkens,et al. Global monthly water stress: 1. Water balance and water availability , 2011 .
[47] D. Nychka,et al. Bayesian Spatial Modeling of Extreme Precipitation Return Levels , 2007 .
[48] Alessandro Vespignani,et al. Vulnerability of weighted networks , 2006, physics/0603163.
[49] V. Latora,et al. Efficient behavior of small-world networks. , 2001, Physical review letters.