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The Impact of Urban Public Transport on Residential Transaction Prices: A Case Study of Poznań, Poland
This study aims to determine the magnitude and nature of the impact of public urban transport accessibility on the value of residential properties in Poznań. The study was based on 2561 residential transactions completed within the study area in 2020. The input data obtained from the Board of Geodesy and Municipal Cadastre “GEOPOZ” were analysed statistically and spatially. The main part of both the spatial and the statistical analysis was performed using the hedonic pricing method (HPM)-OLS (ordinary least squares) and WLS (weighted least squares). The use of statistical tools enabled the finding of evidence to prove that the convenient accessibility of trams is positively related to housing prices. This has also been confirmed by previous research works conducted in other parts of the world. However, the collected data did not enable the identification of statistically significant relationships between housing prices and the distance from bus stops. The study also attempts to use spatial choropleth maps to clearly illustrate the mechanisms within the local housing market.
Influence of Railroad Infrastructure on Residential Property Prices on the Example of Kórnik Municipality
The primary objective of the study was to analyze the way in which railroad infrastructure affects residential property prices on the example of the municipality of Kórnik. The analysis carried out includes 737 transactions, which were concluded in the years 2019-2021. Input data forming the basis of the study were obtained from the District Surveying and Cartographic Documentation Centre in Poznań. The most important part of the analyses conducted was performed using the Ordinary Least Squares (OLS) method and the Geographically Weighted Regression (GWR) method. The analysis helped to identify the attributes that had the most significant impact on price. The statistical tools used showed that the presence of a railroad line in the vicinity of residential properties negatively affected transaction prices. A special role in the study is also played by spatial analyses, whose priority is to increase transparency in the process of describing phenomena occurring within the real estate market.
Determinants of social attitudes towards fees and restrictions on the use of the Wielkopolska National Park
The purpose of this paper was to present the results of research on the willingness of visitors to Wielkopolska National Park (WNP) to pay fees for using its resources and to assess their attitudes towards hypothetical restrictions on access to the park. The analysis was based on survey data from 2012 and 2025, obtained using the following techniques: Paper and Pencil Interviewing (PAPI) and online surveys based on the Computer-Assisted Web Interviewing (CAWI) technique, administered via Internet platforms. A total of 860 valid questionnaires were examined, and a logit model and correspondence analysis were used for the investigation. The findings suggest that the propensity to pay fees is mostly contingent upon the extent of awareness of natural values, the inclination to engage in park maintenance, perspectives on environmental financing mechanisms, and affiliation with environmental organisations. In turn, demographic factors proved to be insignificant. The analysis of the expected compensation for access restrictions demonstrated the influence of age, gender, environmental views, and distance from the WNP. The research findings corroborate that respondents’ attitudes towards environmental financing are predominantly influenced by their environmental awareness and beliefs.
A Safe Location for a Trip? How the Characteristics of an Area Affect Road Accidents—A Case Study from Poznań
The frequency of road accidents in specific locations is determined by a number of variables, among which an important role is played not only by common determinants such as inappropriate behavior of road users, but also by external factors characterizing a given location. Taking this into account, the main objective of the study was to answer the question of which variables determine that the intensity of car accidents is higher in certain parts of the city of Poznań compared to other locations. The study was based on source data from the police Accident and Collision Records System (SEWiK). For the purposes of the analysis, two variants of the regression method were used: ordinary least squares (OLS) and geographically weighted regression (GWR). The obtained results made it possible to identify variables that increase the likelihood of a traffic accident in specific parts of the city, and the variables that proved to be statistically significant include the size of the built-up area and the number of traffic lights. The results obtained using the GWR technique indicate that the way in which the analyzed features influence road accidents can vary across the city, which may emphasize the complexity of the analyzed phenomenon. The results can be used by relevant entities (transport traffic planners and many others) to create road safety policies.
Assessing the Impact of Selected Attributes on Dwelling Prices Using Ordinary Least Squares Regression and Geographically Weighted Regression: A Case Study in Poznań, Poland
The price of dwellings is determined by a number of attributes among which location factors are usually the most important. Comprehensive analyses of the real estate market should take into account a broad spectrum of attributes including economic factors, physical, neighborhood and environment characteristics. The primary objective of the study was to answer the question of what determinants affect transaction prices within the housing market in Poznań. The analysis was performed on the basis of source data obtained from the Board of Geodesy and Urban Cadastre GEOPOZ in Poznań. In our study, we used two research regression methods: ordinary least squares and geographically weighted regression. The estimated models made it possible to formulate specific conclusions related to the identification of local determinants of housing prices in the Poznań housing market. The results of the study confirmed that the use of the proposed techniques makes it possible to identify attributes relevant to the local market, and, moreover, the use of spatial analysis leads to an increase in the quality of the description of the characteristics of the analyzed phenomenon. Finally, the results obtained indicate the diversity of the analyzed market and highlight its ambiguity and complexity.
Preparation of the Digital Elevation Model using open source Geographic Information Systems tools for 3D prints
Abstract The presentation of landforms in two-dimensional graphics may not always be clear and understandable to every viewer. The presentation of landforms, as well as other types of characteristics and issues in three-dimensional space can bring many advantages in the process of better understanding of the surrounding reality. The primary purpose of this research is to put forward a simple scheme, accessible to any Geographic Information Systems user, for generating 3D physical terrain models for any area of the Earth. The presented scheme can be used anywhere in the world, however, for the purpose of illustrating its capabilities, a case study of a selected area – the Tatra Mountain range – was conducted in this paper. As part of the study, a 3D model was developed based on a Digital Elevation Model obtained from an open source, i.e. MapTiler. An indisputable advantage of the study is that the designed process flow in its structure takes into account only generally available tools and software (the model was prepared in the QGIS program). However, a certain limitation is the process of printing itself, which depends on the availability of specialized printing equipment. In this case study, FDM (Fused Deposition Modeling) technology was used for printing, and the model itself was prepared on a Creality Ender 7 printer. The proposed flowchart, on the one hand, unifies and simplifies the process of creating physical 3D models, while on the other hand, it provides opportunities for GIS users and developers to develop the proposed solution.