Miroslav Marada
Articles
Accessibility patterns: Czech Republic case study
Europa XXI (2013) vol. 24, pp. 61-76 | 
Full text
doi: https://doi.org/10.7163/Eu21.2013.24.5
Keywords: accessibility, transport infrastructure, accessibility pattern, TEN-T, GIS, Czech Republic
Citation
APA: Marada, M., Kvĕtoň, V., Mattern, T., Štych, P., & Hudeček, T. (2013). Accessibility patterns: Czech Republic case study. Europa XXI, 24, 61-76. https://doi.org/10.7163/Eu21.2013.24.5
MLA: Marada, Miroslav, et al. "Accessibility patterns: Czech Republic case study". Europa XXI, vol. 24, 2013, pp. 61-76. https://doi.org/10.7163/Eu21.2013.24.5
Chicago: Marada, Miroslav, Kvĕtoň, Viktor, Mattern, Tomáš, Štych, Přemysl, and Hudeček, Tomáš. "Accessibility patterns: Czech Republic case study". Europa XXI 24 (2013): 61-76. https://doi.org/10.7163/Eu21.2013.24.5
Harvard: Marada, M., Kvĕtoň, V., Mattern, T., Štych, P., & Hudeček, T. 2013. "Accessibility patterns: Czech Republic case study". Europa XXI, vol. 24, pp. 61-76. https://doi.org/10.7163/Eu21.2013.24.5
Europa XXI (2010) vol. 21, pp. 19-30 | Full text
doi: https://doi.org/10.7163/Eu21.2010.21.2
Abstract The main aim of the article is detailed evaluation of spatial differentiation of transport opportunities, that means supply of public transport connections (bus and train), and household’s equipment by cars at the municipal level. From the methodological point of view there are two main levels of observing: - the analysis of differentiation of transport opportunities through common statistical indicators characterizing the entire set (“Global Statistics”), - using local statistics, specifi cally the method of spatial autocorrelation (LISA procedure). Article content is divided into two parts. The first addresses the evaluation of the state of spatial differentiation. In the second part the text deals with effect of the supposed socio-geographic as well as geo-social factors determined spatial differentiation of transport opportunities. This analysis is done with using “global” correlation analysis (Pearson’s coefficient). Some theoretical remarks about statistical distribution of indicators and summary of results conclude the article.
Keywords: transport, degree and level of automobilization, evaluation, spatial and regional differentiation
Citation
APA: Kvĕtoň, V., & Marada, M. (2010). Analysis of public and individual transportation in Czechia: Spatial differentiation and conditional factors. Europa XXI, 21, 19-30. https://doi.org/10.7163/Eu21.2010.21.2
MLA: Kvĕtoň, Viktor, and Marada, Miroslav. "Analysis of public and individual transportation in Czechia: Spatial differentiation and conditional factors". Europa XXI, vol. 21, 2010, pp. 19-30. https://doi.org/10.7163/Eu21.2010.21.2
Chicago: Kvĕtoň, Viktor, and Marada, Miroslav. "Analysis of public and individual transportation in Czechia: Spatial differentiation and conditional factors". Europa XXI 21 (2010): 19-30. https://doi.org/10.7163/Eu21.2010.21.2
Harvard: Kvĕtoň, V., & Marada, M. 2010. "Analysis of public and individual transportation in Czechia: Spatial differentiation and conditional factors". Europa XXI, vol. 21, pp. 19-30. https://doi.org/10.7163/Eu21.2010.21.2