A comparative analysis of the performance of urban public transport systems in Europe
In: International social science journal, Band 55, Heft 176, S. 235-247
ISSN: 1468-2451
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In: International social science journal, Band 55, Heft 176, S. 235-247
ISSN: 1468-2451
In: International social science journal, Band 55, Heft 2, S. 174-174
ISSN: 1468-2451
In: International social science journal: ISSJ, Heft 176
ISSN: 0020-8701
Regulatory reform in EU transport policy has prompted urban public transport authorities to operate increasingly under a competitive market regime. The EU policy favors in particular a system of limited competition through the granting of concessions to public transport operators. This paper reviews the emerging organizational framework and seeks to identify the success conditions for local public transport systems in a sample of 22 European cities. On the basis of extensive field research, a systematic performance table of urban public transport systems in these cities is created with the aim of investigating the impact of four classes of critical success factors on the performance of these systems. In the empirical part both a qualitative interpretative analysis and a recently developed tool from artificial intelligence, viz. rough set analysis, is deployed in order to derive policy-relevant conclusions. 3 Tables, 1 Figure, 16 References. (Original abstract - amended)
In: International social science journal: ISSJ, Band 55, Heft 2, S. 235-247
ISSN: 0020-8701
Regulatory reform in EU transport policy has prompted urban public transport authorities to operate increasingly under a competitive market regime. The EU policy favors in particular a system of limited competition through the granting of concessions to public transport operators. This paper reviews the emerging organizational framework & seeks to identify the success conditions for local public transport systems in a sample of 22 European cities. On the basis of extensive field research, a systematic performance table of urban public transport systems in these cities is created with the aim of investigating the impact of four classes of critical success factors on the performance of these systems. In the empirical part both a qualitative interpretative analysis & a recently developed tool from artificial intelligence, viz. rough set analysis, is deployed in order to derive policy-relevant conclusions. 3 Tables, 1 Figure, 16 References. Adapted from the source document.