Legal Acts Detected during Border Checks on Rail Traffic and Their Recording Practice

Abstract

Introduction: Rail border checks have a specific and special role in controlling Hungary's land borders. In addition to responding to the challenges posed by legal migration, the detection of illegal migration offences at rail border crossing points is a priority. The range of illegal acts is a separate category from a border management perspective and the study aims to identify these illegal acts.

Objectives: The aim of the study is to identify the offences related to rail border checks and to review the relationship between border police data and sub-data.

Methods: The research on border law enforcement offences was carried out using a basic research approach, relying on secondary data sources, document and content analysis methods, database analysis, and comparative analysis of relevant legislation and public law instruments.

Results: The primary outcome of the study is to categorise and classify border-related offences and to establish that the types of offences detected at the railway border crossing fit within the scope of border-related offences on the one hand, and are associated with specific offences on the other. Another result of the study is to explore the content and context of the information and sub-data behind the statistics on offences through the basic criminological questions. The study has attempted to systematically place the Robocop NEO specialised system used for recording border police data within the Robocop system through a comparative analysis of the controllers.

Conclusion: It is concluded that the practice of recording offences has evolved a lot in the recent period, which is currently implemented in the form of complex event processing using the Robocop NEO system. This event processing provides answers to all basic criminological questions in a controlled way. Research into the evolution of border police recording practices should be formulated as a guideline for future research.