Suchergebnisse

The Fourth Industrial Revolution and the orientation towards climate change neutrality have fundamentally changed the way we look at competitiveness. Global challenges have increased interest in countries' competitiveness. Thus, in the final master's project the competitiveness of the European Union countries is evaluated according to the most important determinants, ecological footprint and the countries are clustered according to the obtained analysis results. In the literature review the latest concept of competitiveness is presented, 9 groups of competitiveness factors and 52 factors-indicators are identified. The missing values are filled in by MICE method, and after evaluating the correlation, 42 factors-indicators are further used in the study. Three methods are used for clustering - hierarchical Ward linkage method, K-means and machine learning method t-SNE. After the cluster analysis, the countries are clustered into four groups. Neighboring countries have been found to be most similar in terms of competitiveness. Country cluster profiles are interpreted using the results of the PCA method. According to the identified groups of factors, the competitiveness index developed by the author of the project revealed that the most competitive EU countries are Sweden, Germany and the Netherlands. The least competitive countries are Romania, Bulgaria and Greece. Assessing the link between the ecological footprint and competitiveness, positive progress is seen in the EU. In addition, EU countries are moving from low competitiveness and low ecological footprint to high competitiveness and low ecological footprint.

Politicians have ignored the suburbs to their detriment, argues Rupa Huq. Here lies the true Englishness Brown wishes to promote, but a policy agenda to support suburban regeneration is long overdue.

Parking plays an essential role in urban mobility systems across the globe, especially in metropolises. Hong Kong is a global financial center, international shipping hub, fast-growing tourism city, and major aviation hub, and it thus has a high demand for parking. As one of the initiatives for smart city development, the Hong Kong government has already taken action to install new on-street parking meters and release real-time parking occupancy information to the public. The data have been released for months, yet, to the best of our knowledge, there has been no study analyzing the data and identifying their unique characteristics for Hong Kong. In view of this, we examined the spatio-temporal patterns of on-street parking in Hong Kong using the data from the new meters. We integrate the t-SNE and k-means methods to simultaneously visualize and cluster the parking occupancy data. We found that the average on-street parking occupancy in Hong Kong is over 80% throughout the day, and three parking patterns are consistently identified by direct data visualization and clustering results. Additionally, the parking patterns in Hong Kong can be explained using land-use factors. Overall, this study can help the government better understand the unique characteristics of on-street parking and develop smart management strategies for Hong Kong.

The author engages with how communism and socialist realism have been re-presented in post-communist Europe. Communist cultural artefacts are displayed in museums and theme parks on a continuum from dangerous relics to benign kitsch. He argues for neutrality when dealing with musical socialist realism and demonstrates some of the pitfalls in taking that position through examples of Romanian art music from the mid-20th century.