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• Improving Emergency Call Accessibility via Location Technologies in Romania

  1-18

  Edita Bokor

  Horia Răzvan Botiș

  Alina Sava Crețescu

  Madlena Nen

  Corina Daniela Certan

  Views:

  190

  This study examines Romania’s progress in emergency caller location technologies and accessibility between 2020 and 2024, within the broader European context. Applying a PRISMA-informed review methodology, it draws on official reports, academic sources, and EU regulatory data to evaluate the implementation of Advanced Mobile Location (AML), HTML5 geolocation, and the Apel 112 mobile application Romania was among the first EU countries to deploy AML and subsequent performance metrics indicate notable advancements in geolocation accuracy through hybrid handset- and network-based methods. However, despite these advancements, the adoption of the Apel 112 app has declined, raising concerns about user trust, public awareness, and accessibility. To assess system inclusiveness, this study applies the International Classification of Functioning, Disability and Health (ICF) framework. Findings reveal that persons with hearing, speech, and cognitive impairments continue to face substantial barriers due to the absence of real-time text (RTT), video relay services, and universally designed interfaces. These results support both hypotheses: Romania has strengthened its technical infrastructure for caller location (H1), yet persistent accessibility and interoperability limitations remain (H2). The study concludes that inclusive design, user education, and cross-platform compatibility must become priorities for emergency communication policy to ensure equitable access for all users.

• The Location of Energy Plantations in the Sowing Structure and Its Evaluation with Linear Programming

  255-269

  Margit Csipkés

  Lajos Nagy

  Views:

  179

  The research is examining traditional arable crops and woody plants on the basis of their marginal contribution. Calculations of income, expenditure and revenue were made on the grounds of sectoral technologies, which were the basis of the value of marginal contribution of the given sectors. As the linear programming model is quite comprehensive, we used this method for our calculations. To compile our model, we have gathered all the necessary information from farmers of the region of the Northern Great Plain. The missing data was completed from the databases of the Hungarian Central Statistical Office (KSH), Institute for Agricultural Economics Research and Information Technologies (AKII) and the Statistical Office of the European Communities (EUROSTAT). In some cases, we also used data of the Agricultural Administration Office and the Ministry of Agricultural and Rural Development. Our goal is to compile a 12-year production structure that suits for the characteristics of the region of the Northern Great Plain by achieving the maximum marginal contribution of a feature-farm.