http://hdl.handle.net/11089/40432 2026-07-10T15:28:34Z http://hdl.handle.net/11089/58750 Source data for the publication Has Warsaw internalised its low - emission zone? Changes in travel behaviour and air quality in the first year of the zone (dataset) Wiśniewski, Szymon The dataset deposited in the repository constitutes source material accompanying the publication “Has Warsaw internalised its low-emission zone? Changes in travel behaviour and air quality in the first year of the zone”, which presents an initial assessment of Warsaw’s Low-Emission Zone. The dataset covers three observation periods: March 2024 as the pre-implementation stage, October 2024 as the early post-implementation period, and March 2025 as the follow-up after the first months of the zone’s operation. The data are grouped into two analytical areas: the Low-Emission Zone and the remaining part of Warsaw. The database consists of three complementary components: environmental data on PM1, PM2.5, PM10, NO2 and O3 concentrations; private transport data, including hourly traffic-volume profiles; and public transport data covering buses, trams and the metro, including passenger entries, exits, boardings and alightings. It also includes information enabling the analysis of fleet composition, vehicle emission standards, and differences between days of the week and times of day. The dataset makes it possible to reproduce the key analyses presented in the article, including temporal and spatial comparisons, peak-hour identification, assessment of changes in travel behaviour, and comparison of these changes with observed air-quality indicators. The data are aggregated and intended to support transparency, reproducibility and further research on the effects of urban low-emission zones. This repository dataset accompanies the article “Has Warsaw internalised its low-emission zone? Changes in travel behaviour and air quality in the first year of the zone”. It contains aggregated empirical material used to assess the first year of Warsaw’s Low-Emission Zone, introduced on 1 July 2024. The dataset covers three observation windows: March 2024 as the pre-implementation baseline, October 2024 as the early post-implementation stage, and March 2025 as the first-year follow-up. Data are organised for two spatial units: the Low-Emission Zone and the remaining area of Warsaw. The database consists of three complementary components. The environmental component includes air-quality indicators for PM1, PM2.5, PM10, NO2 and O3. The private transport component contains hourly traffic-count profiles from monitored road intersections. The public transport component includes data for buses, trams and the metro, covering passenger entries, exits, boardings and alightings, together with information on propulsion type and vehicle emission standards. The structure of the dataset enables analyses by month, area, day of week and hour of day. The dataset supports replication and further development of the analyses presented in the article, including temporal-profile comparisons, peak-hour identification, modal-balance assessment, analysis of public-transport fleet composition and descriptive comparison of air-quality indicators. It is intended to enhance transparency, reproducibility and reuse of the research results. The dataset was compiled as part of research project no. 2024/53/B/HS4/00389, financed by the National Science Centre in Poland. Bibliographic note: Borowska-Stefańska, M., Dulebenets, M. A., Lamprecht, M., Sahebgharani, A., & Wiśniewski, S. (2026). Has Warsaw internalised its low-emission zone? Changes in travel behaviour and air quality in the first year of the zone. Cities, 177, 107347. doi:10.1016/j.cities.2026.107347. 2026-01-01T00:00:00Z http://hdl.handle.net/11089/58451 Source data for the publication Transport Impacts of Wroclaw’s Proposed Low-Emission Zone (dataset) Wiśniewski, Szymon This dataset contains the statistical and documentary inputs used in the study reported in the article “From policy to practice: accessibility impacts of Wrocław’s proposed low-emission zone”. The deposited materials support the assessment of how alternative access rules for a proposed low-emission zone may affect transport accessibility and the distribution of potential restrictions across the urban vehicle fleet. The dataset brings together aggregated public statistics for Wrocław and source materials describing the proposed clean transport zone. The statistical files include 2024 data on the city’s population structure by sex and broad economic age groups, as well as registered vehicles by vehicle category, age group, fuel type and passenger-car engine capacity. These data were used to characterise the socio-demographic and fleet context of the analysis and to parameterise assumptions concerning vehicles potentially affected by successive low-emission-zone criteria. The accompanying source material documents the real-world vehicle-emission survey and policy recommendations prepared for Wrocław, including information on measurement methodology, observed fleet composition, emission profiles and proposed implementation variants. All records are aggregated and contain no personal identifiers. The dataset therefore provides a transparent empirical basis for reproducing the non-spatial input assumptions of the accessibility analysis and for reusing them in comparative studies of low-emission zones, urban transport policy, mobility justice and the practical implications of environmental regulation in cities. This repository dataset provides the non-spatial statistical and documentary evidence used to support the accessibility analysis of Wrocław’s proposed low-emission zone (LEZ). It contains aggregated statistical tables for Wrocław for 2024, describing population by sex and broad economic age group, and the registered vehicle stock by vehicle category, vehicle age, fuel type and passenger-car engine capacity. These files were used to define the demographic and motorisation context of the study, identify the size and structure of vehicle groups potentially affected by successive LEZ access criteria, and support interpretation of accessibility impacts for different user groups. The deposited material also includes the policy and technical source report on Wrocław’s proposed Clean Transport Zone, covering the results of real-world vehicle-emission measurements, fleet composition, recommended zone boundaries, staged implementation assumptions and alternative vehicle-entry restrictions. These documents were used to align the modelling assumptions with the local policy proposal and with empirically observed vehicle-emission patterns. The dataset does not include personal data or individual trip records; all information is aggregated and suitable for reuse in comparative urban transport, environmental policy and mobility-justice research. It enables verification of the input assumptions adopted in the article and facilitates further analysis of how environmental regulation may translate into changes in transport accessibility. The dataset supports: Marta Borowska-Stefańska, Maxim A. Dulebenets, Mariusz Lamprecht, Tadeusz Pupar, Alireza Sahebgharani and Szymon Wiśniewski, “From policy to practice: accessibility impacts of Wrocław’s proposed low-emission zone”, Transportation Research Part D: Transport and Environment, 158, 2026, 105453. https://doi.org/10.1016/j.trd.2026.105453 2026-01-01T00:00:00Z http://hdl.handle.net/11089/58266 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. 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. Nota bibliograficzna artykułu, w którym wykorzystano dane Borowska-Stefańska, M., Lamprecht, M., Turoboś, F., & 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 2024-01-01T00:00:00Z http://hdl.handle.net/11089/57376 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