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<title>Dane badawcze i projekty | Research data and projects</title>
<link href="http://hdl.handle.net/11089/850" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/11089/850</id>
<updated>2026-05-12T23:29:14Z</updated>
<dc:date>2026-05-12T23:29:14Z</dc:date>
<entry>
<title>Source data for the publication Patterns of temporal and spatial variability of parking in a large City in the context of road network configuration – The case of Łódź, Poland (dataset)</title>
<link href="http://hdl.handle.net/11089/58266" rel="alternate"/>
<author>
<name>Wiśniewski, Szymon</name>
</author>
<id>http://hdl.handle.net/11089/58266</id>
<updated>2026-05-06T12:10:18Z</updated>
<published>2024-01-01T00:00:00Z</published>
<summary type="text">Source data for the publication Patterns of temporal and spatial variability of parking in a large City in the context of road network configuration – The case of Łódź, Poland (dataset)
Wiśniewski, Szymon
Zdeponowany zestaw danych stanowi dokumentację źródłową i wynikową badania funkcjonowania Strefy Płatnego Parkowania w Łodzi, przeprowadzonego metodą wideorejestracji w październiku 2022 r. Obejmuje on raport metodologiczno-analityczny oraz bazy danych w formacie XLSX zawierające inwentaryzację miejsc parkingowych i odcinkowe wskaźniki parkowania dla dnia roboczego, soboty i niedzieli. Dane obejmują odcinki ulic zlokalizowane w obszarze SPP oraz w wybranych obszarach przyległych. W bazach zestawiono m.in. liczbę wyznaczonych i możliwych do wyznaczenia miejsc postojowych, sposób parkowania, podstrefę, akumulację pojazdów w przedziałach godzinowych, wykorzystanie powierzchni parkingowej, wskaźnik rotacji, napełnienie parkingów w szczycie, czas parkowania oraz udział pojazdów zaparkowanych nieprawidłowo. Dołączony raport opisuje cel, zakres przestrzenny, harmonogram i metodykę pomiarów, a także sposób obliczenia wskaźników wykorzystanych w analizie. Zestaw danych stanowi materiał empiryczny wykorzystany w publikacji naukowej dotyczącej funkcjonowania i efektywności miejskiej polityki parkingowej w Łodzi.
Zdeponowany zestaw obejmuje dane źródłowe i przetworzone dotyczące funkcjonowania Strefy Płatnego Parkowania w Łodzi. Dane zostały pozyskane w ramach badania wykonanego metodą wideorejestracji w październiku 2022 r. na obszarze SPP oraz w wybranych obszarach przyległych. W skład zestawu wchodzą bazy danych w formacie XLSX oraz raport metodologiczno-analityczny. Pliki obejmują inwentaryzację miejsc postojowych w podziale na odcinki ulic, informacje o liczbie i sposobie organizacji miejsc parkingowych, przypisaniu do podstref, a także zestawienia wskaźników parkowania dla dnia roboczego, soboty i niedzieli.&#13;
Bazy danych zawierają m.in. informacje o akumulacji pojazdów w przedziałach godzinowych, wykorzystaniu powierzchni parkingowej, rotacji pojazdów, napełnieniu parkingów w szczycie, wskaźniku jednoczesności parkowania, czasie postoju, czasie maksymalnej zajętości oraz udziale pojazdów zaparkowanych nieprawidłowo. Dołączony raport opisuje cel, zakres przestrzenny, harmonogram i metodykę pomiarów, a także sposób definiowania i obliczania poszczególnych parametrów oraz wskaźników. Zestaw danych stanowi empiryczną podstawę analiz czasowej i przestrzennej zmienności parkowania w centrum dużego miasta, ze szczególnym uwzględnieniem relacji między zachowaniami parkingowymi, strukturą miejską oraz konfiguracją sieci drogowej. Raport wskazuje, że celem badania było m.in. określenie chłonności parkingowej, wykorzystania powierzchni parkingowej, rotacji, akumulacji, napełnienia parkingów w szczycie oraz czasu parkowania w SPP w Łodzi. Dane zostały wykorzystane w artykule naukowym poświęconym wzorcom czasowej i przestrzennej zmienności parkowania w Łodzi, z zastosowaniem metod Space Syntax i DBSCAN.&#13;
&#13;
Nota bibliograficzna artykułu, w którym wykorzystano dane&#13;
Borowska-Stefańska, M., Lamprecht, M., Turoboś, F., &amp; Wiśniewski, S. (2025). Patterns of temporal and spatial variability of parking in a large City in the context of road network configuration – The case of Łódź, Poland. Journal of Transport Geography, 126, 104236. https://doi.org/10.1016/j.jtrangeo.2025.104236
</summary>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>EU Floods Directive (dataset)</title>
<link href="http://hdl.handle.net/11089/57376" rel="alternate"/>
<author>
<name>Borowska-Stefańska, Marta</name>
</author>
<id>http://hdl.handle.net/11089/57376</id>
<updated>2026-01-29T10:24:04Z</updated>
<published>2025-06-01T00:00:00Z</published>
<summary type="text">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.&#13;
&#13;
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).&#13;
&#13;
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.&#13;
&#13;
Access to files has been restricted, but metadata remains open under the Creative Commons Zero license.&#13;
Bibliographic note: Borowska-Stefańska, M., Wiśniewski, S., Streifeneder, V., Hölbling, D., Dabiri, Z., &amp; 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
</summary>
<dc:date>2025-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Land use within flood hazard areas in EU countries (dataset)</title>
<link href="http://hdl.handle.net/11089/57201" rel="alternate"/>
<author>
<name>Borowska-Stefańska, Marta</name>
</author>
<author>
<name>Wiśniewski, Szymon</name>
</author>
<id>http://hdl.handle.net/11089/57201</id>
<updated>2026-01-13T10:21:02Z</updated>
<published>2024-04-01T00:00:00Z</published>
<summary type="text">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.&#13;
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., &amp; 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
</summary>
<dc:date>2024-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Urban transport system changes during and after COVID-19: Łódź and Bratislava (dataset)</title>
<link href="http://hdl.handle.net/11089/57192" rel="alternate"/>
<author>
<name>Wiśniewski, Szymon</name>
</author>
<author>
<name>Masierek, Edyta</name>
</author>
<author>
<name>Kowalski, Michał</name>
</author>
<author>
<name>Borowska-Stefańska, Marta</name>
</author>
<id>http://hdl.handle.net/11089/57192</id>
<updated>2026-01-12T06:58:45Z</updated>
<published>2025-12-01T00:00:00Z</published>
<summary type="text">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.&#13;
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.&#13;
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.&#13;
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.&#13;
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.&#13;
Bibliographic note: Borowska-Stefańska, M., Horňák, M., Kowalski, M., Masierek, E., Wiśniewski, S., Ďurček, P., &amp; 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.
</summary>
<dc:date>2025-12-01T00:00:00Z</dc:date>
</entry>
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