The development of sustainable transport is a priority in cities. It should aim to increase the number of trips made by public transport while minimizing social costs and the negative impact on the environment. The intensive development of cities from industrial to service-oriented and the phenomenon of suburbanization require changes in public transport services. However, often, operators do not change existing lines and stops or timetables justifying it with passenger habits. This approach may cause a discrepancy between the accessibility of public transport services and the demand for these services. Therefore, planning and improving the public transport system should be based on careful analyses. There are various approaches to this problem. The article presents a method to assess accessibility of public transport services using spatial and temporal analysis. The proposed method is based on dividing the area into basic fields and then, using appropriately selected measures, each field is assessed in terms of both the current level of accessibility of public transport services and the potential transport demand. A comparative analysis with the use of spatial tools indicates the degree of matching of these values and enables the identification of areas (basic fields) in which improvement of public transport services is required. For the proposed method, a case study was carried out for the city of Czeladź, located in Metropolis GZM in the southern part of Poland. The method can support decision making to improve the current public transport system.

The growing awareness of environmental issues, climate policies, and rapidly developing technologies is contributing to the increasing number of battery electric vehicles (BEVs) around the world. A key requirement for their widespread implementation is providing a charging infrastructure that allows users to operate these vehicles comfortably. Lack of access to charging stations can be a major barrier to the development of electromobility in a given area. Therefore, each additional charging infrastructure can support a change in the structure of the vehicle fleet. One of the key challenges facing this transformation is the selection of suitable locations for charging stations. It is necessary to ensure that they are uniformly distributed so that range anxiety for EV users is reduced and equal access to charging infrastructure is provided to all residents. One of the most important stakeholders in this market is local authorities. Therefore, the objective of this research was to develop a method of determining optimal locations for electric vehicle charging stations (EVCSs) from the perspective of local authorities that also takes into account equal access to the charging infrastructure for all residents, which seems to be a unique approach to this problem. We used commonly available spatial data as input to enable the method to be applied on a larger scale and over an urban area. We carried out our research using a case study: the city of Gliwice in Poland. The city area was divided into hexagonal basic fields, for which potentials for locations of new charging stations were calculated. The analysis was carried out using the geographic information system (GIS) QGIS (ver. 3.34).

The paper presents a method of the assessment of spatial integration of bike-sharing stations in urban agglomerations based on GIS tools for analyses. The method uses four sub-models: system of bike-sharing stations, road and street network, demand for bike-sharing ridership, bike-sharing ridership routing, and value matrix of spatial integration measures. The presented method allows the identification of different categories of segments of the road and street network used for bike travels and enables the identification of the set of segments that should be upgraded into bike-friendly infrastructure offering bike lanes or cycle paths in order to ensure the appropriate level of spatial integration of bike-sharing stations. The possibility of the application of the method has been studied on the example of the existing bike-sharing system in Katowice, a city in southern Poland. The research presented in the paper has been conducted based on data on bike rentals and bike trips from eight months of 2018. Selected results of the spatial integration assessment of bike-sharing stations, which may be useful for making investment decisions in the bike-sharing system development, are presented.

The transport system of a Smart City consists of many subsystems; therefore, the modeling of the transportation network, which maps its structure, requires consideration of both the connections between individual subsystems and the relationships within each of them. The road and street network is one of the most important subsystems, whose main task is to ensure access to places generating travel demand in the city. Thus, its effectiveness should be at an appropriate level of quality. Connectivity is one of the most important characteristics of a road and street network. It describes how elements of that network are connected, which translates to travel times and costs. The analysis of the connectivity of the road and street network in urban areas is often conducted with the application of topological measures. In the case of a large area of the city, such analysis requires its division into smaller parts, which may affect the computational results of these measures; therefore, the main goal of the study was to present a method of performing analysis based on the computation of numerical values of selected measures of connectivity of road and street network, for a city area divided into fields of regular shape. To achieve that goal, the analyzed area was split into a regular grid. Subsequently, numerical values of the chosen measures of connectivity were calculated for each basic field, and the results allowed us to determine whether they are influenced by the method of division of the area. Obtained results showed that the size of the basic field influences the numerical values of measures of connectivity; however that influence is different for each of the selected measures.

Ensuring high standard of service of public transport is among the most important goals of sustainable mobility. One of the most promising subsystems of public transport in this respect is the tram transport. Trams are eco-friendly and able to transport large numbers of passengers. However, in order to shape an efficient tram system, it is important to minimize the possibility of occurrence of incidents involving trams and road vehicles at intersections of roadways and tram tracks. The paper presents a proposition of a method of analysis of incidents in such locations. For ensuring a comprehensive approach to safety problem, the analysis encompasses two aspects: temporal and spatial. The proposed method has been presented on the example of tram network of the Metropolis GZM (Metropolitan Association of Upper Silesia and Dąbrowa Basin) area. The analysis has enabled identification of causes of incidents for the two most hazardous intersections of roadways and tram tracks. For each of these locations, proposed solutions to improve the level of safety have been determined.