http://hdl.handle.net/11089/40432 2026-04-03T17:39:20Z 2026-04-03T17:39:20Z Borowska-Stefańska, Marta http://hdl.handle.net/11089/57376 2026-01-29T10:24:04Z 2025-06-01T00:00:00Z

EU Floods Directive (dataset) Borowska-Stefańska, Marta The dataset underpinning this study is entirely based on secondary (desk-based) sources used to compare how Austria and Poland implement the EU Floods Directive. It consists of official Floods Directive deliverables from successive planning cycles—Preliminary Flood Risk Assessments (PFRA), Flood Hazard Maps (FHM), Flood Risk Maps (FRMaps), and Flood Risk Management Plans (FRMPs/RMPs)—and the associated summary statistics reported in those materials. For Poland, the analysis draws on nationally produced FHM/FRMaps developed within the ISOK programme and disseminated via the national geoportals (including subsequent map updates and corrections reported by the water administration), together with national-scale exposure summaries for the 1% (HQ100) scenario (e.g., total flood-prone area and affected population) and illustrative land-use change examples referencing Corine Land Cover (CLC 2018). For Austria, the dataset includes the national RMP 2015/RMP 2021 documentation and map products, along with the key input layers explicitly referenced as underlying FRMaps calculations, notably a 125 m × 125 m population raster, road and railway data, built-up land information, tourism indicators (bed capacities and utilisation rates), demographic projections to 2030, and geodata on protected/critical assets (e.g., airports, hospitals, schools, national parks). In addition, a small set of background national indicators used for contextual comparison (e.g., population structure and macroeconomic figures) comes from official statistics offices. The dataset underpinning this study is entirely based on secondary (desk-based) sources used to compare how Austria and Poland implement the EU Floods Directive. It consists of official Floods Directive deliverables from successive planning cycles—Preliminary Flood Risk Assessments (PFRA), Flood Hazard Maps (FHM), Flood Risk Maps (FRMaps), and Flood Risk Management Plans (FRMPs/RMPs)—and the associated summary statistics reported in those materials. For Poland, the analysis draws on nationally produced FHM/FRMaps developed within the ISOK programme and disseminated via the national geoportals (including subsequent map updates and corrections reported by the water administration), together with national-scale exposure summaries for the 1% (HQ100) scenario (e.g., total flood-prone area and affected population) and illustrative land-use change examples referencing Corine Land Cover (CLC 2018). For Austria, the dataset includes the national RMP 2015/RMP 2021 documentation and map products, along with the key input layers explicitly referenced as underlying FRMaps calculations, notably a 125 m × 125 m population raster, road and railway data, built-up land information, tourism indicators (bed capacities and utilisation rates), demographic projections to 2030, and geodata on protected/critical assets (e.g., airports, hospitals, schools, national parks). In addition, a small set of background national indicators used for contextual comparison (e.g., population structure and macroeconomic figures) comes from official statistics offices. This repository documents the secondary data used for a comparative analysis of how Austria and Poland address vulnerability in flood risk management under the EU Floods Directive (2007/60/EC). The study relies exclusively on officially published Floods Directive deliverables and accompanying summaries from successive planning cycles: Preliminary Flood Risk Assessments (PFRA), Flood Hazard Maps (FHM), Flood Risk Maps (FRMaps), and Flood Risk Management Plans (FRMPs/RMPs). These sources underpin the description of national approaches to mapping hazard and risk, identifying exposed receptors, and framing vulnerability-related measures in planning and policy. For Poland, the referenced data include national FHM/FRMaps developed within the ISOK programme and disseminated via official geoportals (including later updates/corrections issued by the water administration). The repository metadata reflects the use of exposure summaries for standard scenarios, notably the 1% annual exceedance probability (HQ100), such as aggregate flood-prone area and affected population. Ancillary land-use information used for illustrative comparisons includes Corine Land Cover (CLC 2018). For Austria, the dataset comprises national RMP 2015 and RMP 2021 documentation and map products, together with key input layers explicitly referenced as underlying FRMaps calculations. These include a 125 m × 125 m population raster, transport network data (roads and railways), built-up land information, tourism indicators (e.g., bed capacity and utilisation), demographic projections to 2030, and geodata on protected/critical assets (e.g., airports, hospitals, schools, national parks). A limited set of contextual national indicators (demographic and macroeconomic background) is drawn from official statistics offices to support cross-country comparison. Access to files has been restricted, but metadata remains open under the Creative Commons Zero license. Bibliographic note: Borowska-Stefańska, M., Wiśniewski, S., Streifeneder, V., Hölbling, D., Dabiri, Z., & Magiera, M. (2026). Austria and Poland under the EU Floods Directive: vulnerability perspectives in flood risk management. European Planning Studies, 1-27. https://doi.org/10.1080/09654313.2026.2614664

2025-06-01T00:00:00Z Borowska-Stefańska, Marta Wiśniewski, Szymon http://hdl.handle.net/11089/57201 2026-01-13T10:21:02Z 2024-04-01T00:00:00Z

Land use within flood hazard areas in EU countries (dataset) Borowska-Stefańska, Marta; Wiśniewski, Szymon The dataset presents the extent of areas exposed to flooding with a Q100 (p=1% probability of flood occurrence) for selected regions of Slovakia and Germany. The Slovak component is provided as a vector layer (ESRI Shapefile) in the form of lines (LineString) representing boundaries/segments of the Q100 flood extent (file Q100P.zip, 14,538 features, reference system S-JTSK / Krovak East North – EPSG:5514). The German component is delivered as a dBASE (.dbf) attribute table (Q100_od_rzek_Niemcy.dbf, 103,351 records) linked to polygon geometry (the table includes fields such as SHAPE_Area and SHAPE_Leng); however, the provided file contains no geometry and no coordinate reference system information. The data can be used for flood risk analyses, spatial planning, environmental impact assessments, exposure modelling of infrastructure and population, and cross-border comparisons. The dataset is intended for reference purposes and requires verification against primary sources and local hydrological conditions; it is not intended for real-time operational use. This dataset documents the spatial extent of areas exposed to flooding with a Q100 return period (p = 1% annual probability of occurrence) for selected regions of Slovakia and Germany. The Slovak component is provided as an ESRI Shapefile vector layer containing LineString features that delineate boundaries/segments of the Q100 flood extent (Q100P.zip, 14,538 features, CRS: S-JTSK / Krovak East North – EPSG:5514). The German component is provided as a dBASE (.dbf) attribute table (Q100_od_rzek_Niemcy.dbf, 103,351 records) intended to be associated with polygon geometry (including fields such as SHAPE_Area and SHAPE_Leng), but the delivered file includes no geometry and no coordinate reference system information. The dataset supports applications such as flood risk assessment, spatial and land-use planning, environmental impact assessment, exposure modelling for infrastructure and population, and cross-border comparative analyses. It is a reference dataset and should be validated against primary sources and local hydrological conditions; it is not intended for real-time operational use. Access to files has been restricted, but metadata remains open under the Creative Commons Zero license. Bibliographic note: Borowska-Stefańska, M., Wiśniewski, S., Gros, J. M., Balážovičová, L., & Masný, M. (2025). Changes in land use within flood hazard areas between 1990 and 2018 in EU countries. Land Use Policy, 158, 107712. https://doi.org/10.1016/j.landusepol.2025.107712

2024-04-01T00:00:00Z Wiśniewski, Szymon Masierek, Edyta Kowalski, Michał Borowska-Stefańska, Marta http://hdl.handle.net/11089/57192 2026-01-12T06:58:45Z 2025-12-01T00:00:00Z

Urban transport system changes during and after COVID-19: Łódź and Bratislava (dataset) Wiśniewski, Szymon; Masierek, Edyta; Kowalski, Michał; Borowska-Stefańska, Marta The repository deposits processed and harmonized datasets underpinning the article “Are the changes in the functioning of urban transport systems arising from the COVID-19 pandemic just temporary change or a permanent transformation? Examples of Lodz and Bratislava” published in Moravian Geographical Reports. The package is designed to support reproducibility of the paper’s empirical steps, while avoiding disclosure of raw operational records. The deposited files provide analysis-ready tables derived primarily from urban public transport operations in Łódź, prepared consistently for the study timeframe and analytical phases considered in the paper. A core spreadsheet dataset (XLSX) contains day-level service-supply indicators, with observations indexed by date and day-type (weekday/Saturday/Sunday). Key variables describe the structure and intensity of service provision, including the number of bus and tram lines, the daily number of public-transport vehicle journeys, and comparable counts for selected time windows reflecting peak and inter-peak periods (e.g., morning peak, midday, afternoon peak). Complementary outputs are included as a ZIP archive of Excel tables (XLS) summarising ticket validations (“skasowania”) in an aggregated form, provided in three analytical breakdowns: by hour band, by line, and by stop, with counts reported as “paper validations” and “total” to enable reconstruction of temporal profiles and structural shifts without access to individual transactions. In addition, a macro-enabled workbook (XLSM) organises hourly aggregations and calendar annotations (e.g., date, hour, day-of-week labels and trading/non-trading indicators) and provides descriptive statistics supporting the computation of change indicators and comparative metrics used in the study. Due to third-party data-sharing conditions, only aggregated, non-identifying, replication-focused outputs are released; the raw monitoring and transactional records remain with the source institutions. The repository contains processed and harmonized datasets supporting the empirical analyses reported in the article “Are the changes in the functioning of urban transport systems arising from the COVID-19 pandemic just temporary change or a permanent transformation? Examples of Lodz and Bratislava” published in Moravian Geographical Reports. The deposited materials are prepared as analysis-ready tables that enable replication of the main comparisons and indicators presented in the paper, while respecting third-party constraints on redistributing operational records. The package includes a core spreadsheet (XLSX) with day-level public transport service-supply indicators, organised by date and day type (weekday/Saturday/Sunday). Variables describe both the structure and intensity of service provision, including the number of bus and tram lines, the daily number of vehicle journeys, and analogous counts for selected time windows reflecting peak and inter-peak periods (e.g., morning peak, midday, afternoon peak). A complementary ZIP archive provides aggregated Excel tables (XLS) summarising ticket validations (“skasowania”) in non-identifying form, offered in three analytical perspectives—by hour band, by line, and by stop—with totals reported in a way that supports reconstruction of temporal profiles and structural shifts without exposing individual transactions. In addition, a macro-enabled workbook (XLSM) supports the harmonised workflow by structuring hourly aggregations and calendar attributes (e.g., date, hour, day-of-week labels and trading/non-trading indicators) and by providing descriptive statistics used to compute the comparative metrics applied in the study. Because the source information originates from operational systems managed by external institutions, the repository releases only aggregated, replication-focused outputs, while raw records remain with the data owners. Access to files has been restricted, but metadata remains open under the Creative Commons Zero license. Bibliographic note: Borowska-Stefańska, M., Horňák, M., Kowalski, M., Masierek, E., Wiśniewski, S., Ďurček, P., & Hluško, R. (2025). Are the changes in the functioning of urban transport systems arising from the COVID-19 pandemic just temporary change or a permanent transformation? Examples of Lodz and Bratislava. Moravian Geographical Reports, 33(3), 163–175. https://doi.org/10.2478/mgr-2025-0013.

2025-12-01T00:00:00Z Wiśniewski, Szymon http://hdl.handle.net/11089/57181 2026-01-09T12:22:21Z 2024-07-01T00:00:00Z

Source data for the publication Changes in car-bus mobility in the context of the pandemic and the war in Ukraine in Rzeszów, Poland (2018–2024) (dataset) Wiśniewski, Szymon The dataset deposited in the repository contains processed and harmonized empirical data used in the article examining changes in the hourly profiles of car traffic and demand for bus transport in Rzeszów (Poland) over the full study period 2018–2024. The input data come from two complementary sources: (1) the municipal ITS system, providing hourly traffic counts from monitoring locations (e.g., inductive loops and measurements on junctions and key corridors), and (2) automatic passenger counting (APC) in public transport, providing stop-based records of boardings and alightings that were originally collected at high temporal resolution and were subsequently aggregated to hourly intervals to ensure full comparability with the ITS data. The repository includes analysis-ready, quality-controlled and aggregated tables prepared consistently for the entire investigated period, covering three time profiles aligned with the study design—pre-pandemic (2018–2019), pandemic (2020–2021), and post-restriction (2022–2024)—with a clear distinction between weekdays and weekends and with complete 24-hour diurnal profiles. As part of the preparation workflow, standard quality-control procedures were applied throughout the study period, including completeness checks for hourly observations, removal of erroneous series and atypical/holiday days, and harmonization of temporal resolution and spatial referencing across sources. The deposited files therefore provide the key inputs required to reproduce the empirical steps of the study at the temporal and spatial-structure level, including hourly diurnal profiles, period-mean summaries, spatial aggregations for the monitoring network and public-transport stops included in the analysis, and change indicators used in comparative analyses (including inputs for statistical testing and spatial classification). In terms of metadata, the ITS component consists of processed hourly traffic-count tables organised by monitoring location (junction/corridor), approach/entry leg, movement relation and hourly timestamp, with traffic volume expressed as vehicles per hour, while the APC component consists of processed passenger-count tables derived from stop-level operational records organised by public-transport line/trip identifiers, stop identifiers and timestamps, with boardings and alightings aggregated to hourly intervals. Due to data-sharing conditions imposed by the system owners, the repository provides only processed and aggregated data limited to what is necessary to replicate the reported findings, while the original raw ITS and APC records remain with the respective source institutions; however, the same type of data is available and was prepared in a consistent manner for the full study period covered by the analyses (2018–2024). The repository contains processed, quality-controlled, and harmonized empirical data used to analyse changes in hourly (diurnal) profiles of car traffic and bus-transport demand in Rzeszów (Poland) across the full study period 2018–2024. The input data originate from two complementary monitoring systems: (1) the municipal ITS system, which provides hourly traffic counts from a network of monitoring locations (e.g., inductive loops and measurements on junctions and key corridors), and (2) Automatic Passenger Counting (APC) in public transport, which records boardings and alightings at stops. APC observations were originally available at a finer temporal resolution and were subsequently aggregated to hourly intervals to ensure full comparability with the ITS data and to support consistent construction of 24-hour profiles. All deposited tables were prepared consistently for the entire investigated timeframe and follow the study design that distinguishes three analytically relevant phases: the pre-pandemic period (2018–2019), the pandemic period (2020–2021), and the post-restriction period (2022–2024). Within each phase, the dataset enables comparisons between weekdays and weekends and supports complete 24-hour diurnal profiles. Data preparation included systematic quality-control and harmonisation procedures applied across the full study period, such as checks for the completeness of hourly observations, identification and removal of erroneous series, and filtering of atypical days (e.g., holidays) and other observations that could bias the comparative analyses. The resulting “analysis-ready” tables are designed to reproduce the key empirical steps reported in the paper, including the derivation of diurnal profiles, period means, spatial summaries for the monitoring network and the stop set included in the analysis, as well as change indicators used in comparative analyses (including inputs for statistical testing and spatial classification). In terms of metadata and data structure, the ITS component is provided as processed hourly traffic-count tables organised by monitoring location (junction/corridor identifier), directional attributes (e.g., approach/entry leg and movement relation where applicable), and an hourly timestamp, with traffic volume expressed as vehicles per hour. The APC component is provided as processed passenger-count tables derived from operational stop-level records, organised by public-transport service identifiers (e.g., line/trip/run descriptors), stop identifiers, and time information, with the key variables describing boardings and alightings aggregated to hourly intervals. Importantly, data of the same type, scope, and processing logic are available and were prepared for the full study period covered by the analyses (2018–2024) for the monitoring network and public-transport stop set included in the research design. Due to data-sharing conditions imposed by the system owners, the repository provides only processed and aggregated data limited to what is necessary to replicate the reported findings at the temporal and spatial-structure level, while the raw ITS and APC records remain with the respective source institutions. The deposited data were used in the publication: Borowska-Stefańska, M., Komornicki, T., Kowalski, M., Plesiński, C., & Wiśniewski, S. (2026). Changes in car-bus mobility in the context of the pandemic and the war in Ukraine, in Rzeszów, Poland (2018–2024). Case Studies on Transport Policy, 23, 101644. https://doi.org/10.1016/j.cstp.2025.101644 Access to files has been restricted, but metadata remains open under the Creative Commons Zero license.

2024-07-01T00:00:00Z