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1مؤتمر
المؤلفون: Sekulić, Aleksandra
مصطلحات موضوعية: level of protection of air passengers, air transport, special rights, contemporary tendencies
الوصف: System of protection of air passenger implies a set of special and individual rights. Special rights from this set of rights are: right to information, right to care, right to reimbursement and re-routing, right to redress. In current level of protection of air passenger can influence economic and social movements. In that movements are mirrored the most significiant contemporary tendencies in air transport are pandemic of virus covid-19, global warming and insolvency of air transporter. Through this paper we will introduce contemporary tendencies in current level of protection of air passengers which is are caused by this risks. Aim of this paper would be analysis of current level of protection of air passenger through individual analysis of special rights of air passenger. Also, we will give a review on influence of contemporary tendencies on level of protection of air passengers. ; Published
وصف الملف: application/pdf
العلاقة: XIX majsko savetovanje, Pravna regulativa usluga u nacionalnim zakonodavstvima i pravu Evropske Unije; https://scidar.kg.ac.rs/handle/123456789/18557Test
الإتاحة: https://doi.org/10.46793/XIXMajsko.103STest
https://scidar.kg.ac.rs/handle/123456789/18557Test -
2دورية أكاديمية
المؤلفون: Cezary Banasiński
المصدر: Yearbook of Antitrust and Regulatory Studies, Vol 14, Iss 23, Pp 153-164 (2021)
مصطلحات موضوعية: air passengers’ rights, air carriers’ liability, collective disputes, regulation 261/2004, Law, Social Sciences
الوصف: The case annotation discusses consumer protection in the sphere of an air carrier’s liability for damages arising from a strike of its pilots, which was treated by the carrier as an extraordinary circumstance exempting the carrier from the obligation to pay compensation in the event of a flight cancellation. The Court of Justice interpreted the definition of ‘extraordinary circumstances’, both ‘internal’ and ‘external’ to the activity of the operating carrier, as the premise obliging or releasing the carrier from its liability.
وصف الملف: electronic resource
العلاقة: https://yars.wz.uw.edu.pl/images/yars2021_14_23/YARS_1423_7_Banasinski.pdfTest; https://doaj.org/toc/1689-9024Test; https://doaj.org/toc/2545-0115Test
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3دورية أكاديمية
المؤلفون: Tri Sefrus, Sigit Priyanto, Dewanti, Muhammad Zudhy Irawan
المصدر: Songklanakarin Journal of Science and Technology (SJST), Vol 42, Iss 5, Pp 1071-1076 (2020)
مصطلحات موضوعية: papua islands, domestic air passengers, demand modeling, generation, attraction, Technology, Technology (General), T1-995, Science, Science (General), Q1-390
الوصف: Indonesia is an archipelagic country with diverse regions. Among them are several regions that are difficult to reach by land or sea transportation, such as Papua and West Papua in the Papua Islands. In the context of national transportation, such regions are referred to as regions with geographical constraints. This study aimed to predict both generation and attraction of air passengers in The Papua Islands. The study indicated that out of the fourteen independent variables as candidate predictors, only two significantly influenced generation and attraction: population and per capita GRDP. Over the next five years, it is predicted that generation and attraction will grow by 11.94% and 9.35% in Papua; and by 81.95% and 70.85% in West Papua. Over the next ten years, generation and attraction are predicted to grow by 26.03% and 29.14% in Papua; and by 94.79% and 96.26% in West Papua.
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Oesingmann, Katrin
مصطلحات موضوعية: ddc:330, air cargo, air passengers, multinational agreements, poisson pseudo‐maximum likelihood, structural gravity, trade
الوصف: This paper analyses the effect of the standard gravity model variables and of various multinational agreements—namely the Euro, the European Union (EU), the Schengen Agreement and other regional trade agreements (RTAs)—on the volume of air cargo flows. To compare the impacts, the data set created for this analysis contains intra‐ and extra‐European air cargo flows as well as data on air passenger and total trade flows. The results suggest that the impact of the analysed multinational agreements on air cargo flows diverges completely from their impact on total trade flows—however, the effects on air cargo flows are more similar to the effects on air passenger flows. Whereas the Euro and the Schengen Agreement affect air cargo volumes positively, EU membership and other RTAs do not significantly affect trade by air. Methodology‐wise, different dynamic structural gravity models are formulated and estimated with Poisson pseudo‐maximum likelihood (PPML). Including intranational flows and controlling for multilateral resistance, endogeneity and globalisation effects reverses the impact of some of the policy variables compared with an estimate based on a simple structural gravity model.
العلاقة: Journal: The World Economy; Volume: 45; Year: 2022; Issue: 8; Pages: 2370-2393; Hoboken, NJ: Wiley; http://hdl.handle.net/10419/265044Test
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5دورية أكاديمية
المؤلفون: Takeuchi, Yu, Benavides, Pablo, Johnson, Melissa A, Follett, Peter A, Hossain, Mohammad Khalid, Navarro, Lucio, Giraldo, Marisol
مصطلحات موضوعية: air passengers, biosecurity, island invasions, quantitative pathway model
الوصف: The coffee berry borer (CBB) (Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae, Scolytinae)) is considered the most damaging insect pest of coffee worldwide, causing significant reductions in both the yield and quality of coffee products. CBB was first detected in the Kona coffee-growing district of Hawaii island in 2010. Since then, CBB has spread to all other major coffeegrowing regions across the state. In this study, we conducted a quantitative risk assessment to determine the likelihood and frequency of air passengers bringing CBB-infested materials into Hawaii and to estimate human-mediated dispersal pathways between islands. There were over 3.3 million visitors traveling from CBB-occurring countries to Hawaii from 2010 to 2019; we estimated that only 238, 237 of these passengers underwent agricultural inspection at the port of entry. Although the detection rate of CBB on air passengers was very low, the model suggested that there could be at least one passenger bringing CBB-infested materials to Hawaii every year. In addition, we found that Oahu is the most likely source of new pest entries to neighboring islands given the large number of passengers that depart from the Honolulu International Airport. We suggest implementing risk-based inspections of foreign arrivals and inter-island passengers as well as establishing annual inspection routines to intercept infested materials coming into the state. These types of programs will provide the data needed to fine tune statistical models that can be used to predict future introductions. Ultimately these models will serve as critically important tools for crop and commodity protection in Hawaii by improving biosecurity standards and informing the development of emergency response plans for new invasive pests and diseases.
وصف الملف: application/pdf
العلاقة: Proceedings of the Hawaiian Entomological Society (2022) 54:1-20.; http://hdl.handle.net/10125/81471Test
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6دورية أكاديمية
المؤلفون: Steve Wood (14313935)
مصطلحات موضوعية: Aerospace engineering not elsewhere classified, Disability, Air Passengers, Discrimination, Tourism and Aviation
الوصف: Since the EU introduced Regulation (EC) No 1107/2006 to support access and reduce barriers for People with Disabilities (PwD). Member States of the EU, and their respective Departments of Transport, have had the responsibility to ensure the Regulation is adopted, complied with, and evidenced at airports. This paper assesses to what extent the aviation sector in the EU, particularly the UK, is carrying out its legal obligations and whether a new ethos towards disabled travellers has been created because of regulations both at EU and national level since 2006. The conclusion drawn from legislation, the courts, and changes to airport infrastructure, show that whilst improvements have been made to enable access and reduce barriers for PwD, it will take a number of years and a greater desire from the sector to ensure equality for disabled passengers.
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7دورية أكاديمية
المؤلفون: Hang Zhou, Yuting Xue, Ziqi Jiang, Fanger Cai, Weicong Li
المصدر: Applied Sciences; Volume 12; Issue 19; Pages: 9580
مصطلحات موضوعية: traffic safety, air passengers, strategy of classified security check, analytic hierarchy process, fuzzy comprehensive evaluation method
جغرافية الموضوع: agris
الوصف: In order to solve the problem of passenger risk classification, an assessment model for air passenger risk classification based on the analytic hierarchy process and improved fuzzy comprehensive evaluation method is constructed. The existing index systems are improved by the comprehensive method. The index system of passenger risk assessment is established, which includes 23 indexes from five aspects: basic background, personal status, economic situation, personal conduct and civil aviation travel. In addition, the weight of each index is determined by the analytic hierarchy process. An improved method of determining fuzzy relation matrixes is proposed. The single factor evaluation vectors of discrete indexes can be determined according to the results of probability statistics, and the single factor evaluation vectors of continuous indexes are calculated by fitting function. Then the assessment model for passenger risk classification based on the improved fuzzy comprehensive evaluation method is established. According to the characteristic analysis of civil aviation passengers and terrorists, typical passenger samples of high, medium and low risk are set to verify the model. The results show that the evaluation results of typical passenger samples are consistent with the basic assumptions. The model is suitable for risk classification assessment of air passengers. Moreover, the tedious evaluation process is reduced compared with the traditional fuzzy comprehensive evaluation method.
وصف الملف: application/pdf
العلاقة: Transportation and Future Mobility; https://dx.doi.org/10.3390/app12199580Test
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8مؤتمر
المؤلفون: Brehany, Frank
مصطلحات موضوعية: cabin air quality, aircraft, travel, holidays, flight, consumer rights, consumers, air passengers, activism, ACA2021, ACA2021-PUB
الوصف: Purpose: This work provides an overview, from a Consumer perspective, on how the problem of Cabin Air Quality is being addressed through the development of an International Standard. The author is neither a scientist, engineer nor pilot, but has had to engage with each of those disciplines and determine how a better outcome can be achieved for ordinary airline passengers and for the air that they breathe. The paper concludes on hard-law versus soft-law and the serious issues that need to be addressed, because the issue of contaminated Cabin Air and Standards must surely be at the crossroads? --- Methodology: The author's extensive experience in the work of Standardisation and dealing with direct Consumer contact, across two continents, has been critically examined to provide an overview and analysis of the current bene-fits for Consumers. --- Findings: The issue of contaminated Cabin Air has developed an International "Standards" circus where politics, com-mercial politics and the possibility of solutions, constantly challenge the challengers. There is a difficulty in a rule-based Standards-making system that fails to adequately deploy methodology and define adequately what constitutes a consensus. This paper highlights those difficulties and raises a number of challenges that if resolved, may deliver a Standard of benefit to an Industry and the occupants of an aircraft. The alternative is a hard-law solution. --- Research Limitations: This paper is limited to the work, view and opinions of one independent Consumer Campaigner. But, the subject matter is also limited by the scant attention paid by many European Consumer Organisations to this work. Current EU Standardisation Regulation only recognises Consumer "Establishment" Organisations. --- Practical Implications: This paper has important methodology implications for the future of European Standardisation and the potential for its work on contaminated Cabin Air. It also raises important questions about the state and status of Aviation Regulation in the EU. --- ...
العلاقة: https://zenodo.org/communities/aircraftcabinairTest; https://zenodo.org/record/5552495Test; https://doi.org/10.5281/zenodo.5552495Test; oai:zenodo.org:5552495
الإتاحة: https://doi.org/10.5281/zenodo.5552495Test
https://doi.org/10.5281/zenodo.5552494Test
https://zenodo.org/record/5552495Test -
9مؤتمر
المؤلفون: Buire, Clara, Scozzaro, Geoffrey, Marzuoli, Aude, Feron, Eric, Delahaye, Daniel
المساهمون: ENAC - Equipe Optim (OPTIM), Ecole Nationale de l'Aviation Civile (ENAC), King Abdullah University of Science and Technology Saudi Arabia (KAUST), ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019)
المصدر: 2021 IEEE International Conference on Big Data' au sein du workshop 'Applications of Big Data in the Transport Industr
https://enac.hal.science/hal-03474780Test
2021 IEEE International Conference on Big Data' au sein du workshop 'Applications of Big Data in the Transport Industr, Dec 2021, Virtual, Franceمصطلحات موضوعية: Air Transportation, Big Data, COVID-19, Air passengers, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
الوصف: International audience ; The COVID-19 pandemic has profoundly affected the air transportation system, its structure, its reliability, and its dynamics. Passengers have in turn significantly adapted their behavior. Through a case study at Paris-Charles de Gaulle airport, the present paper examines the new traffic network, the fact that delays remain high despite a drop in flight volume, the significant decrease in aircraft load factors and the change in passenger behavior at the airport.
العلاقة: hal-03474780; https://enac.hal.science/hal-03474780Test; https://enac.hal.science/hal-03474780/documentTest; https://enac.hal.science/hal-03474780/file/A_Year_Into_the_Pandemic__a_Passenger_Perspective_of_the_Impact_on_Paris_Charles_de_Gaulle_Airport%20%282%29.pdfTest
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10رسالة جامعية
المؤلفون: Riba, Evans Mogolo
مرشدي الرسالة: Jankowitz, M. D.
مصطلحات موضوعية: Time series forecasting, Regression model with ARIMA errors, Autoregressive integrated moving averages, ARIMA, Artificial neural networks, ANN, Support vector machines, SVM, Bagging, Bootstrap aggregating, Air passengers, 387.70151955, Aeronautics, Commercial, South Africa, Passenger traffic, Forecasting, Air travel, Time-series analysis, Data processing
الوصف: in English, Afrikaans and Northern Sotho
More time series forecasting methods were researched and made available in recent years. This is mainly due to the emergence of machine learning methods which also found applicability in time series forecasting. The emergence of a variety of methods and their variants presents a challenge when choosing appropriate forecasting methods. This study explored the performance of four advanced forecasting methods: autoregressive integrated moving averages (ARIMA); artificial neural networks (ANN); support vector machines (SVM) and regression models with ARIMA errors. To improve their performance, bagging was also applied. The performance of the different methods was illustrated using South African air passenger data collected for planning purposes by the Airports Company South Africa (ACSA). The dissertation discussed the different forecasting methods at length. Characteristics such as strengths and weaknesses and the applicability of the methods were explored. Some of the most popular forecast accuracy measures were discussed in order to understand how they could be used in the performance evaluation of the methods. It was found that the regression model with ARIMA errors outperformed all the other methods, followed by the ARIMA model. These findings are in line with the general findings in the literature. The ANN method is prone to overfitting and this was evident from the results of the training and the test data sets. The bagged models showed mixed results with marginal improvement on some of the methods for some performance measures. It could be concluded that the traditional statistical forecasting methods (ARIMA and the regression model with ARIMA errors) performed better than the machine learning methods (ANN and SVM) on this data set, based on the measures of accuracy used. This calls for more research regarding the applicability of the machine learning methods to time series forecasting which will assist in understanding and improving their performance against the traditional statistical methods
Die afgelope tyd is verskeie tydreeksvooruitskattingsmetodes ondersoek as gevolg van die ontwikkeling van masjienleermetodes met toepassings in die vooruitskatting van tydreekse. Die nuwe metodes en hulle variante laat ʼn groot keuse tussen vooruitskattingsmetodes. Hierdie studie ondersoek die werkverrigting van vier gevorderde vooruitskattingsmetodes: outoregressiewe, geïntegreerde bewegende gemiddeldes (ARIMA), kunsmatige neurale netwerke (ANN), steunvektormasjiene (SVM) en regressiemodelle met ARIMA-foute. Skoenlussaamvoeging is gebruik om die prestasie van die metodes te verbeter. Die prestasie van die vier metodes is vergelyk deur hulle toe te pas op Suid-Afrikaanse lugpassasiersdata wat deur die Suid-Afrikaanse Lughawensmaatskappy (ACSA) vir beplanning ingesamel is. Hierdie verhandeling beskryf die verskillende vooruitskattingsmetodes omvattend. Sowel die positiewe as die negatiewe eienskappe en die toepasbaarheid van die metodes is uitgelig. Bekende prestasiemaatstawwe is ondersoek om die prestasie van die metodes te evalueer. Die regressiemodel met ARIMA-foute en die ARIMA-model het die beste van die vier metodes gevaar. Hierdie bevinding strook met dié in die literatuur. Dat die ANN-metode na oormatige passing neig, is deur die resultate van die opleidings- en toetsdatastelle bevestig. Die skoenlussamevoegingsmodelle het gemengde resultate opgelewer en in sommige prestasiemaatstawwe vir party metodes marginaal verbeter. Op grond van die waardes van die prestasiemaatstawwe wat in hierdie studie gebruik is, kan die gevolgtrekking gemaak word dat die tradisionele statistiese vooruitskattingsmetodes (ARIMA en regressie met ARIMA-foute) op die gekose datastel beter as die masjienleermetodes (ANN en SVM) presteer het. Dit dui op die behoefte aan verdere navorsing oor die toepaslikheid van tydreeksvooruitskatting met masjienleermetodes om hul prestasie vergeleke met dié van die tradisionele metodes te verbeter.
Go nyakišišitšwe ka ga mekgwa ye mentši ya go akanya ka ga molokoloko wa dinako le go dirwa gore e hwetšagale mo mengwageng ye e sa tšwago go feta. Se k e k a le b a k a la g o t šwelela ga mekgwa ya go ithuta ya go diriša metšhene yeo le yona e ilego ya dirišwa ka kakanyong ya molokolokong wa dinako. Go t šwelela ga mehutahuta ya mekgwa le go fapafapana ga yona go tšweletša tlhohlo ge go kgethwa mekgwa ya maleba ya go akanya. Dinyakišišo tše di lekodišišitše go šoma ga mekgwa ye mene ya go akanya yeo e gatetšego pele e lego: ditekanyotshepelo tšeo di kopantšwego tša poelomorago ya maitirišo (ARIMA); dinetweke tša maitirelo tša nyurale (ANN); metšhene ya bekthara ya thekgo (SVM); le mekgwa ya poelomorago yeo e nago le diphošo tša ARIMA. Go kaonafatša go šoma ga yona, nepagalo ya go ithuta ka metšhene le yona e dirišitšwe. Go šoma ga mekgwa ye e fepafapanego go laeditšwe ka go šomiša tshedimošo ya banamedi ba difofane ba Afrika Borwa yeo e kgobokeditšwego mabakeng a dipeakanyo ke Khamphani ya Maemafofane ya Afrika Borwa (ACSA). Sengwalwanyaki šišo se ahlaahlile mekgwa ya kakanyo ye e fapafapanego ka bophara. Dipharologanyi tša go swana le maatla le bofokodi le go dirišega ga mekgwa di ile tša šomišwa. Magato a mangwe ao a tumilego kudu a kakanyo ye e nepagetšego a ile a ahlaahlwa ka nepo ya go kwešiša ka fao a ka šomišwago ka gona ka tshekatshekong ya go šoma ga mekgwa ye. Go hweditšwe gore mokgwa wa poelomorago wa go ba le diphošo tša ARIMA o phadile mekgwa ye mengwe ka moka, gwa latela mokgwa wa ARIMA. Dikutollo tše di sepelelana le dikutollo ka kakaretšo ka dingwaleng. Mo k gwa wa ANN o ka fela o fetišiša gomme se se bonagetše go dipoelo tša tlhahlo le dihlo pha t ša teko ya tshedimošo. Mekgwa ya nepagalo ya go ithuta ka metšhene e bontšhitše dipoelo tšeo di hlakantšwego tšeo di nago le kaonafalo ye kgolo go ye mengwe mekgwa ya go ela go phethagatšwa ga mešomo. Go ka phethwa ka gore mekgwa ya setlwaedi ya go akanya dipalopalo (ARIMA le mokgwa wa poelomorago wa go ba le diphošo tša ARIMA) e šomile bokaone go phala mekgwa ya go ithuta ka metšhene (ANN le SVM) ka mo go sehlopha se sa tshedimošo, go eya ka magato a nepagalo ya magato ao a šomišitšwego. Se se nyaka gore go dirwe dinyakišišo tše dingwe mabapi le go dirišega ga mekgwa ya go ithuta ka metšhene mabapi le go akanya molokoloko wa dinako, e lego seo se tlago thuša go kwešiša le go kaonafatša go šoma ga yona kgahlanong le mekgwa ya setlwaedi ya dipalopalo.
Decision Sciences
M. Sc. (Operations Research)وصف الملف: 1 online resource (viii, 92 leaves, 3 unnumbered leaves) : illustrations, color graphs; application/pdf
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