A Methodological Approach to Selecting a Location for a Waste Disposal Terminal for Vessels on the Section of the Pan-European Waterway Corridor VII in the Republic of Serbia
Bibliographic record
Abstract
The section of the Pan-European Corridor VII waterway flowing through Serbia is of exceptional international significance, as well as significance to the Republic of Serbia, both in the domains of transport and of environmental protection. In this part of the Pan-European Corridor VII waterway, there is development of both passenger and freight traffic without an established system of control and management of solid waste and wastewater from vessels, which directly threatens the environment, as well as the safety of traffic and people. The crews of international and domestic vessels are faced with the problem of disposing of solid waste, waste oil and waste water, due to the lack of adequate waste terminals in this section of waterway corridor VII (The Danube River). For this reason, the construction of a waste terminal is a priority and an unavoidable necessity as a starting point for establishing a sustainable system of managing waste from vessels in the Republic of Serbia. This paper presents a methodological approach for selecting an optimal location for the construction of such a terminal in the city of Belgrade, capital of Serbia (a case study). The method of multi-criteria evaluation of potential locations was used, as well as the method of evaluating various locations under different scenarios. The specificity of the method used can be seen in the selection of criteria for comparative evaluation of the potential locations, as well as in the evaluation of the potential sites under different scenarios and with weight categories based on the PROMETHEE method. The results presented in this paper make it possible for decision makers to consider different aspects and scenarios when selecting the most appropriate location for the terminal, whilst taking into account the international standards and principles governing this field in the European Union.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".