The paper aims to discuss the major trends in changes of regional differences of economic wellbeing and the resulting spatial mobility of population as well as some regional consequences of these processes. The research is based on an empirical methodology, and visual analysis of mapped data is the main research method. Since the collapse of the Soviet Union, fast decrease of employment in industry and agriculture has damaged, first of all, peripheral regions and, later, resulted in mass emigration, which is still evident in most Lithuanian municipalities. The decrease of the number of jobs in these sectors and its increase in those located in different places meant that most residents of non-metropolitan regions had to find new jobs outside the localities in which they resided. This resulted in growing mobility of the population, expressed by growing foreign emigration, inner migrations, and commuting, which continue to shape the social structure of the country to the present day, as spatial structures change more slowly than modes of production. Differences in wellbeing, which appeared at the end of the 20th century, played a role in accelerating emigration processes, which are still damaging local labour supply and economic development in many regions.
The paper discusses the role of commuting as one of the main indicators of functional linkages and a criterion used in governmental classifications and delimitations of areas, e.g. in the US Metro and Non-metro Classification by US OMB, in the Canadian Census classification, and the ‘Rural and Small Town’ classification. The above methods are presented in the light of selected research findings on the social and economic phenomena which, as either a reason for or a result of commuting, justify the use of the three main parameters, i.e. direction, catchment areas, and intensity, as tools of classification and delimitation of areas.
Road commuters in major Polish cities were counted regularly in the People’s Republic of Poland. The origin and destination of their journey to work were easy to calculate and analyze. However, since 1989 the commuter research has become very difficult due to the lack of statistical data. For that reason, in case of commuting, opinion polls are the main source of data. The authors used the data gathered by the Warsaw Traffic Survey 2005 and a self-prepared questionnaire concerning commuting in Bialystok and 19 gminas in the Podlaskie region in 2006. The results were compared with the study carried out by the Statistical Office in Poznan based on the POLTAX database. The purpose of this article is to compare the average time of a journey to work with the attractiveness of both Warsaw and Bialystok for road commuters who live outside of these cities. The conclusions are that a city’s attractiveness depends mainly on the time of a journey to work and the relationship between these variables can be described by the power function.
The article is based on the statistics of intercommunal data matrix concerning employees who commuted to work in 2006, compiled on the basis of the taxpayers’ tax deductions provided by the Central Statistical Office of Poland (Urban Statistics Centre in Poznan). The author identifies directions, intensity and catchment areas of commuting flows to Warsaw and calculates other basic characteristics, providing a basis for further studies into occupational mobility in relation to the development of the labour market. It has been demonstrated that Warsaw plays a significant role in the spatial structure of the voivodeship in terms of the number of workers who commute to the city. It is the result of its function as the capital and of the development of the labour market in the transition period.
The purpose of this paper is to present a two-step survey method of commuting to work and its main results on the example of the city of Bialystok. The survey has numerous methodological limitations and is very complex. The authors compare the range of influence of the city in 1983-2005 and describe the structure of daily commuting to work. Despite a number of methodological assumptions, the presented method seems to be a valuable tool for studying daily journeys to work, especially since there are no detailed data related to this issue.
