This paper-Review aims to clarify the infrastructural development of the Adriatic-Ionian macro-region and its difficult cross-border vision towards the Trans European Transport Network (TEN-T). Two Port Authorities competitors, Trieste and Koper have aimed to build a secondary track system to fulfill the EU sustainability and to adhere to the silk-road model. Trieste takes advantage of Annex VI, part of the Treaty of Paris, that has guaranteed a Free Port legal regime in combination with the recent Special Economic Zone (ZES), by which a further tax relief has played a strong Key-enabler role. With the analysis of Geographic Information System, Open License Database and evaluation methods have been compared and visualized to highlight the mismatch of their Cross-border cooperation. The expressed results lead to feasibility-costs' overviews and EU finance strategies in which is highlighted the competition between the two Port Authorities, and their final horizontal (re)integration of borders. Keywords: Sustainable development; Port city; GIS; TEN-T; NATO; Balkans; Silk-road; Covid19.
it's clear to the world that the eastern Japan earthquake was the biggest disaster the modern world had ever came to face, that's why it was of great importance that we took crucial lessons of it on every aspect possible so that we can be more ready for future disasters, no matter what is their scale, because as we know disaster are going to come, in all shapes and kinds, and a major disaster like the Great Eastern Japan Earthquake is going to be upon us every few decades, so being ready, as calculations have proofed, spending and providing for the preparedness phase, is 7 times better, safer and cheaper, than trying to solve the problems in the recovery phase, after the disaster happens, in this study we'll be doing an analysis of the event, and suggesting numerous solutions to prevent the likelihood of a similar scenario in the future.
A correlative Hazard case study of Los Angeles Port has been performed on a tremendous dock fire that occurred on 22nd September 2014 at the Wilmington Dock along with a proposed Machine Learning approach concerning remote sensing techniques, a time-related air quality survey, and port safety codes, which are assessed and based on a modern port governance emergency intervention. The methodology of this research embraces a possible case of high fire severity urban zoning of the Los Angeles Harbour, on the occasion of the severe application of Health and Safety Code Section 18930 by the State Fire Marshal to respond opportunely to the recent extensive ignition across California. Set rules, dispatched by LA Port System, are detected following a Landsat 8/OLI (Operational Land Imager) remote sensing-based geospatial comparison with ground-based air samples. In order to target opportunely risk barriers in favour of Oil Tankers and critical garrisons, an extensive pre-processing calibration of spaceborne datasets has been performed for enhancing minor changes on the platforms. Besides, intrinsic limits of the OLI definition do not permit appropriate accuracy of small-scale evaluations; a decision tree model has been therefore engaged by embracing high variance and low bias of these compensated datasets. In this manner, four Regions of Interest have been marked to strengthen the sub-samples of these features. The flexibility of RF computation delivers positive automation for the missing values, categorical and continuous values; on the other side time consuming and interpretability drawbacks, notice a disadvantage of the implementation in terms of computational training, validation, and testing. In defence of this intervention approach, an air-model geostatistical distribution carried out pixel values based on the pre-burn weighted trained model and finally ensembled to buffer protection zones, according to the Safety Code Section 18930 as an endorsement of further sustainable and financial liabilities that are vital parameters in the post-Covid-sars19 crisis and demonstrate growth limits of Ports as periodically issued to theirs Internal Consistency Analysis. The advisory assessment research moreover a hardware performance to support on-time prediction models, by listing variable dependent regressive accuracy samples.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.