http://hdl.handle.net/11089/8 2026-08-21T09:09:32Z http://hdl.handle.net/11089/59156 Rozwój i struktura przestrzenna zjawiska krótkoterminowego najmu turystycznego w polskich miastach na przykładzie platformy Airbnb w Krakowie i Łodzi Kacprzak, Karolina Rozprawa doktorska przedstawia genezę, rozwój, strukturę, przestrzenne rozmieszczenie oraz szczegółową charakterystykę zjawiska krótkoterminowego najmu turystycznego oferowanego przez platformę Airbnb w polskich miastach na przykładzie Krakowa i Łodzi. Praca składa się z dwóch części: teoretycznej oraz badawczo-analitycznej. W pracy przyjęto osiem celów poznawczych (o charakterze deskryptywnym i wyjaśniającym) oraz cel metodyczny i aplikacyjny. Sformułowano cztery hipotezy badawcze, które zostały potwierdzone w toku przeprowadzonych badań. W pracy wykorzystano metody ilościowe i jakościowe, do których należały desk research (obejmująca kwerendy literatury, danych statystycznych, danych z serwisu AirDNA oraz kwerendę prasy lokalnej). Ponadto, opracowano i zastosowano własne metody i narzędzia badawcze: autorską kwerendę ofert (AKO), która objęła 5200 ofert Airbnb w Krakowie i 822 oferty w Łodzi oraz dzienny pomiar wielkości oferty (PWO). Wyniki badań wskazują m.in., że mimo znaczących różnic w skali zjawiska w obu miastach zjawisko rozwijało się dynamicznie, od początku jest silnie skoncentrowane w centralnych dzielnicach. Struktura oferty w obu miastach wykazuje wiele podobieństw. Dominującym typem przestrzeni mieszkalnej w obu miastach, jest cały dom/mieszkanie. Cechą, która silniej różnicuje ofertę w badanych miastach jest dostęp do usług dodatkowych. Analiza cech gospodarzy pokazała, że ich struktura w obu miastach jest podobna. Jednym czynnikiem różnicującym, była ich liczba. Natomiast ich profesjonalizacja (proporcja gospodarzy indywidualnych i profesjonalnych) była na zbliżonym poziomie. W obu miastach największe wykorzystanie oferty następowało od piątku do niedzieli, w okresie letnim (zwłaszcza w wakacje), a także podczas tzw. długich weekendów oraz wydarzeń o randze ponadlokalnej i międzynarodowej.; This doctoral thesis examines the origins, development, structure, spatial distribution and detailed characteristics of the phenomenon of short-term tourist rentals offered by the Airbnb platform in Polish cities, using Krakow and Lodz as case studies. The thesis consists of two parts: a theoretical section and a research and analytical section. It sets out eight cognitive objectives (of a descriptive and explanatory nature) as well as a methodological and an applied objective. Four research hypotheses were formulated, which were confirmed in the course of the study. The study utilised quantitative and qualitative methods, including desk research (comprising a review of the literature, statistical data, data from the AirDNA website and a review of the local press). In addition, proprietary research methods and tools were developed and applied: a proprietary listing survey (AKO), which covered 5,200 Airbnb listings in Krakow and 822 listings in Lodz, and a daily measurement of listing volume (PWO). The research findings indicate, amongst other things, that despite significant differences in the scale of the phenomenon in both cities, it has developed dynamically and has been strongly concentrated in central districts from the outset. The structure of the listings in both cities shows many similarities. The dominant type of accommodation in both cities is an entire house or flat. The feature that most strongly differentiates the listings in the cities studied is access to additional services. An analysis of host characteristics showed that their profile is similar in both cities. One differentiating factor was their number. However, the level of professionalisation (the ratio of individual to professional hosts) was similar. In both cities, the highest uptake of the accommodation on offer occurred from Friday to Sunday, during the summer (particularly during the school holidays), as well as during so-called long weekends and events of supra-local and international significance. 2026-01-01T00:00:00Z http://hdl.handle.net/11089/58797 Statystyka Jażdżewska, Iwona Podręcznik zawiera podstawową wiedzę na temat metod statystycznych oraz umiejętności ich wykorzystania do analizy i oceny wyników badań statystycznych prowadzonych przez studentów kierunków studiów związanych z turystyką i rekreacją. Wiedza ta może być przydatna podczas pisania pracy licencjackiej lub magisterskiej, a także do opracowania raportu z wyników badań w trakcie studiów. Na wybranych przykładach z zakresu szeroko rozumianej turystyki i rekreacji zaprezentowano algorytm rozwiązywania zadań oraz interpretację uzyskanych wyników. Każdy rozdział kończy się blokiem zadań do samodzielnego rozwiązania. W podsumowaniu przedstawiono kolejność i opis etapów badania statystycznego, które pozwalają na wyciągnięcie prawidłowych wniosków. 2019-12-30T00:00:00Z 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