Recent emerging globalisation and post-industrial development partly driven by IT services influence not only markets, but all other subsystems of the society, too. This revolutionary change has fundamentally transformed our mobility and movements in space. In the era of network society, the idea of shared-use mobility has brought about possibilities in transportation that resulted in the emergence of new groups, directions and destinations. By now this type of alternative transportation has spread among the most developed countries and shows a flourishing example of sharing economy, an internet-based peer-to-peer model, which does not require a top-down service provider. The main focus of the present study is a socio-geographical analysis of how this innovation has spread among Hungarian citizens. Which social groups are the most active users of ridesharing? What geographical endowments or insufficiencies result this way and what are the spatial patterns of transportation? To answer these questions we studied the biggest Hungarian ridematching system 'Oszkár' and its users with the help of questionnaires (N=425).
The rapid shrinking of Hungarian small towns became such a general process after the turn of the Millennium, which does not simply reflect the overall effects of the second demographic transition, and could not even be interpreted with local and regional factors. The aim of the present paper is to analyse the shrinking of small towns among the framework of post-socialists urban transformation models and concepts. Many authors have dealt with such transformation issues, but rather focusing on the description of the development of larger cities and analysing the transformation of urban space and society. Despite the evident differences caused by the size of the researched settlements (small urban centres with a maximal population of 30,000 people), some general elements of these concepts give parts of the explanations we looked for. Others are rooted much deeper: our paper finally states that the present day crisis of small towns originates back to the later decades of planned economy, when the forced and somewhat over-dimensioned modernisation of small towns resulted a significant role in the urban network. This modernisation was centrally planned, led and financed, and with the exhaustion of these exogenous sources small towns seem to return to a less intensive development path.
Due to the general demographic situation in Hungary and the recent overall crisis of this traditional settlement-type, Hungarian small towns have been facing an intensive shrinking since the last decade. Although natural decrease and migration loss are almost equal factors of population decline, outmigration seems to be a more strategic, critical problem for these settlements. There are hardly any reliable data available about the migrants leaving small towns, but some of them seem to support the wellknown assumption that the young people, who leave these towns are looking for wider horizons and better perspectives. The aim of the present paper is to analyse the outmigration of young adults from small towns, and give estimation about the international aspects of migration, which is hardly ever published in official statistics. The paper also aims at revealing the impact of the intensive migration on the local labour market. A short statistical analysis based on census data and two empirical surveys conducted by the authors are also included. One was carried out with the support of volunteer contributors, former small-town students, who tried to reconstruct the post-secondary school migration of their former classmates. The other survey contains a series of interviews focusing on the consequences of the young adults’ migration on the labour market. The results facilitate the estimation regarding the (weak) capability of small towns to keep their young population, and highlight the problems of local developmental options within the context of demographic shrinkage.
The process of social differentiation in post-communist states has had a clear impact on the status of neighbourhoods. Municipalities have tried to handle the problem, but planning in Hungary is still based on shallow analyses. This paper presents a method for examining and quantifying prevailing factors of residential areas, also being able of a spatial comparison. It detects problematic issues and locations and assists in the formulation of solutions. The model city for the presented study was Szeged, located in southeastern Hungary. Szeged is the economic center of the region and it was an ideal urban area for the evaluation of housing needs and for the mapping of various objects and social services. A field-collected qualitative database was processed using the Idrisi Selva GIS program, resulting in a classifying map of investigated areas. We have localized the properties of the lowest score and also determined the major issues responsible for low scores by analysing the spatial data of 27 GIS layers. The model can be used to detect the reasons causing differences in the perception of neighbourhoods, while it may serve as a tool for decision makers.
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