READ ME This text describes the data presented in the paper: ======================== Introductory information ======================== Files included in the data deposit (include a short description of what data are contained): 1) CityCAT flood depth output for 10-ys and 200-ys simulations 2) Trip-assignment table for the network simulations 3) table of BC values Explain the relationship between multiple data sets, if required: Flooding simulations affect newtork properties, and disruption can be assessed through a trip-assignment model of commuters journey. Key words used to describe the data: Flooding, network, betweenness centrality, urban adaptation ========================== Methodological information ========================== A brief method description – what the data is, how and why it was collected or created, and how it was processed: The research aimed to apply transport modelling and hazard simulations, in order to quantify the flooding impact to urban network performance. Network and flooding modelling were effectively coupled, enabling the assessment of multiple extreme rainfall scenarios, and the benefits of potential adaptation interventions. The research related the magnitude of flooding events to network metrics such as betweenness centrality, providing helpful, rapid to assess, metrics to prioritise resilience investment. DTM and OS MasterMap were used as input for the flood model (CityCAT). ITN data were used for network analysis. DTM, OS MAsterMap and ITN are available under license from the Ordnance Survey UK. 2011 Census data were used in the trip-assignment model and are available from the Office for National Statistics, UK. Instruments, hardware and software used: Python, freely available NetworkX, publicly available under a BSD license ArcGIS, available under an ESRI licence with subscription CityCAT, flood model “property” of Newcastle University Date(s) of data collection: Data collected and used in the months of November, December 2015 and January, February, March 2016 Geographic coverage of data: Newcastle-upon-Tyne and Tyne and Wear region (UK) Data validation (how was the data checked, proofed and cleaned): Ordnance Survey ITN (Integrated Transport Network) data layer is a dataset specifically for the generation of topologically valid networks. 2011 Census data are reliable data from the Office for National Statistics (UK). DTM (Digital Terrain Model) and OS MasterMap are trustable data from the Ordnance Survey UK. Overview of secondary data, if used: - ========================= Data-specific information ========================= Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: JTW = Journey-to-Work BC = Betweenness Centrality DTM = Digital Terrain Model ITN = Integrated Transport Network GIS = Geographical Information System Explanation of weighting and grossing variables: BC values are computed with the time to traverse an edge, as calculated using the adjusted speeds for the edge based on the depth of flood water, used as a weight in the calculation of the shortest paths. This means that badly road segments have a great cost to traverse so shortest paths, or journeys, avoid such edges where possible. Outline any missing data: - ======= Contact ======= Please contact rdm@ncl.ac.uk for further information