This paper focuses on the changes in transport accessibility at the regional scale in terms of individual car transport due to the introduction to the regional road network of the bypasses of Łódź in the meridian course. The changes are determined on the basis of measures of the time and potential accessibility of the network, conducted before and after the ring roads were implemented. The results are presented in both relative and absolute terms for each of the 4956 settlement units and 177 communes of the Łódź region. The author determines that the construction of motorways and expressways, especially those representing bypasses of large urban centres, helps to increase the cohesion of a region and increase accessibility of peripheral areas, while the size and spatial extent of the impact of road investments are clearly differentiated.
A high ranking position of Lower Silesia among Polish voivodeships based on its competitiveness, attractiveness for investors and accessibility as well as on its innovative potential is a good starting point for achieving the goals of the Renewed Lisbon Strategy as well as for making it a Region of Knowledge. Innovativeness and attractiveness for investors however are a dynamic status which a region has to compete for in an incessant rivalry with the best ones involving institutional and social partners. The Structural Funds – aptly streamed to and implemented – are only some efficient tools and not a goal itself. An apt profiting by the strong position of Wroclaw agglomeration as well as by experience of Wroclaw Technical University being a local leader of innovation, combined with wider than up till now learning from the experience of Lower Silesia’s partner regions and building an attractive offer for investors in high tech and services will make it possible to achieve final goals indicated in strategies.
This paper is based on data collected during a study (questionnaire survey and in-depth interviews) conducted in selected Polish gminas and focused on selected road corridors. On this basis, social perception of the accessibility of selected services is assessed as well as changes in frequency of road use, quality of life, and road safety. In the case of three road corridors (highways A1 and A4; express road S8), changes in accessibility have occurred as a result of road investments.
Accessibility indicators can be defined to reflect both within-region transport infrastructure and infrastructure outside the region which affect the region (interregional infrastructure). The new geography models show that increase of accessibility may have no positive impact on poor regions development. The only regions on which it may have an effect are those which are rich or those situated on transport corridors. In countries like Poland transport infrastructure might be effective. However the main result of SASI model and IASON project is that socio-economic trends such as ageing of the population and increases of labour productivity have much stronger impact on cohesion indicators (GDP or employment) than regional transport accessibility.
Transport policy requires greater territorial differentiation; at the local level, it should be closely integrated with education, health and social policies. This approach to transport policy contributed to the research and determined its area – the research was carried out among school students, and its aim (and that of this article) was to determine the accessibility of secondary schools in the Wągrowiec district via public transport. Many inhabitants of villages and small towns are forced to have a car or else face a whole host of difficulties. The most common difficulties include access to education, health care or better paid work.
The aim of this paper is to define the relationship between the level of human potential and economic efficiency of companies in different voivodeships. For the purpose of this paper, a synthetic indicator was constructed to evaluate the economic efficiency of companies as well as a synthetic indicator of human potential in a region, based on previously selected set of diagnostic variables. All 16 Polish voivodeships were included in the research. The TOPSIS method, Ward’s method and the PAM method were used in the research to classify different voivodeships. Moreover, correlation analysis and spatial autocorrelation analysis were carried out. The main criterion when selecting variables was their completeness and their accessibility for all objects in the research between the year 2009 and 2013.
