المؤلفون: Wibowo, Wahadi, Rudiarto, Iwan

المساهمون: JURNAL PEMBANGUNAN WILAYAH DAN KOTA

المصدر: Jurnal Pembangunan Wilayah dan Kota; Vol 13, No 4 (2017): JPWK Vol 13 No 4 December 2017; 519 - 530 ; 2597-9272 ; 1858-3903 ; 10.14710/pwk.v13i4

مصطلحات موضوعية: air passengers characteristics, preference, transport modes, airport

وصف الملف: application/pdf

العلاقة: https://ejournal.undip.ac.id/index.php/pwk/article/view/18269/12797Test; https://ejournal.undip.ac.id/index.php/pwk/article/view/18269Test

الإتاحة: https://doi.org/10.14710/pwk.v13i4.1826910.14710/pwk.v13i4Test
https://ejournal.undip.ac.id/index.php/pwk/article/view/18269Test

المؤلفون: D. E. Aubakirova, G. N. Jaxybekova

المصدر: Экономика: стратегия и практика, Vol 15, Iss 3, Pp 171-187 (2020)

مصطلحات موضوعية: HB1-3840, competitiveness, airlines, factors affecting competitiveness, Economic theory. Demography, competitive advantage, passenger flow, air passengers, business performance

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doajarticles::7efc236cf71a3c4311e72d14287bec7eTest
https://esp.ieconom.kz/jour/article/view/225Test

المؤلفون: Clara Buire, Geoffrey Scozzaro, Aude Marzuoli, Eric Feron, Daniel Delahaye

المساهمون: ENAC - Equipe Optimisation et Systèmes Dynamiques (OPTIM), Ecole Nationale de l'Aviation Civile (ENAC), King Abdullah University of Science and Technology (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
2021 IEEE International Conference on Big Data' au sein du workshop 'Applications of Big Data in the Transport Industr, Dec 2021, Virtual, France

مصطلحات موضوعية: Big Data, Air passengers, Air Transportation, COVID-19, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af853c49119fd248233a8119f1c1d425Test
https://hal-enac.archives-ouvertes.fr/hal-03474780Test

المصدر: Problems of Environmental Biotechnology; No. 1-2 (2020)
Проблемы экологической биотехнологии; № 1-2 (2020)
Проблеми екологічної біотехнології; № 1-2 (2020)

مصطلحات موضوعية: авіаційні пасажирські перевезення, air conditioning system, air passengers transportation, biosafety, воздушное судно, infection, авиационные пассажирские перевозки, повітряно-крапельний механізм, патогенные микроорганизмы, повітряне судно, біобезпека, система кондиционирования воздуха, airborne transmission, інфікування, система кондиціонування повітря, биобезопасность, aircraft, pathogenic microorganisms, инфицирование, патогенні мікроорганізми

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=aviationuniv::4a6219c6b85a6ed83a025572d71629a6Test
https://jrnl.nau.edu.ua/index.php/ecobiotech/article/view/16019Test

المؤلفون: Željka Primorac

المصدر: Zbornik Pravnog fakulteta Sveučilišta u Rijeci
Volume 40
Issue 3

مصطلحات موضوعية: Marketing, Economics and Econometrics, Kontrolle der Reisedokumente, Flughäfen, Beförderungsverweigerung, verifica dei documenti di viaggio del viaggiatore, aeroporti, diniego di imbarco sul volo, provjera putnih isprava putnika, zračne luke, uskraćivanje ukrcaja na let, air passengers travel documents control, airports, denied boarding, General Chemical Engineering, provjera putnih isprava putnika, zračne luke, uskraćivanje ukrcaja na let, General Materials Science

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e947fe55bd0589fff3a9919acf88d2b5Test
https://doi.org/10.30925/zpfsr.40.3.7Test

المؤلفون: Naboush, Eman

المصدر: Journal Sharia and Law

مصطلحات موضوعية: Cancellation of Flights, Issues for Passengers, carrier’s liability, delay, UAE courts, Conventions, air passengers, Air and Space Law, Law

وصف الملف: application/pdf

العلاقة: https://scholarworks.uaeu.ac.ae/sharia_and_law/vol2019/iss78/10Test; https://scholarworks.uaeu.ac.ae/cgi/viewcontent.cgi?article=1066&context=sharia_and_lawTest

الإتاحة: https://scholarworks.uaeu.ac.ae/sharia_and_law/vol2019/iss78/10Test
https://scholarworks.uaeu.ac.ae/cgi/viewcontent.cgi?article=1066&context=sharia_and_lawTest

المؤلفون: Amezquita Bravo, Cristian Camilo

المساهمون: Moreno Rivas, Álvaro Martin

المصدر: Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia

مصطلحات موضوعية: Forecasting techniques, Air transport, Time series, Análisis de series de tiempo, 330 - Economía, Air passengers demand, Técnicas de predicción, ARIMA, Series de tiempo, SARIMA, Time-series analysis, Aviación comercial, Aeronautics, commercial, Pronóstico de demanda, ARIMAX, Transporte aéreo, Forecasting demand

وصف الملف: x, 46 páginas; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7689e731c03cadf90d270c14d8c7b36eTest
https://repositorio.unal.edu.co/handle/unal/81124Test

المؤلفون: Jue Tao Lim, Joel R Koo, Alex R. Cook, Annelies Wilder-Smith, Borame L Dickens, Hannah E. Clapham, Haoyang Sun

المصدر: Journal of Travel Medicine

مصطلحات موضوعية: medicine.medical_specialty, Isolation (health care), Coronavirus disease 2019 (COVID-19), Airports, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Psychological intervention, Global Health, Risk Assessment, law.invention, lockdown, COVID-19 Testing, law, Communicable Diseases, Imported, Environmental health, Quarantine, medicine, Humans, Mass Screening, business.industry, SARS-CoV-2, Public health, quarantine, COVID-19, General Medicine, Test (assessment), travel restrictions, Air Travel, Communicable Disease Control, Epidemiological Monitoring, Original Article, border measures, business, AcademicSubjects/MED00295, isolation, air passengers, Screening measures

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cda36c8d0fe41f439c5c44b5051515aeTest

المؤلفون: Amezquita Bravo, Cristian Camilo

المساهمون: Moreno Rivas, Álvaro Martin

مصطلحات موضوعية: 330 - Economía, Time-series analysis, Aeronautics, commercial, Forecasting techniques, Análisis de series de tiempo, Aviación comercial, Técnicas de predicción, Pronóstico de demanda, Transporte aéreo, Series de tiempo, ARIMA, SARIMA, ARIMAX, Forecasting demand, Air transport, Air passengers demand, Time series

جغرافية الموضوع: Colombia

وصف الملف: x, 46 páginas; application/pdf

العلاقة: Aeronáutica Civil, (2014a). Guía para la elaboración de Planes Maestros Aeroportuarios – PMA, Circular Reglamentaria N° 053, https://www.aerocivil.gov.co/normatividad/CIRCULARES%20AGA/CI%20053%20-%20V2.pdfTest; Aeronáutica Civil, (2014b). Actualización del plan maestro del Aeropuerto Internacional ElDorado reporte final, Tylin international, https://www.aerocivil.gov.co/aeropuertos/_layouts/15/WopiFrame,aspx?sourcedoc=/aeropuertos/Consecionados/El%20Dorado%20-%20Bogot%C3%A1,pdf&action=defaultTest; Aeronáutica Civil, (2019). Aeropuertos – Planes Maestro, https://www.aerocivil.gov.co/aeropuertos/planes%20maestros/forms/allitems.aspxTest; Alhassan, R., Abdulaal, R., & Alsulami, H. (2017). A Forecasting Model for Satisfying the Demand of International Flight Passengers Having Domestic Flight Connection. Journal of King Abdulaziz University Engineering Sciences, 28(1), 49–63. https://doi.org/10.4197/eng.28-1.4Test; Andreoni, A., & Postorino, M. N. (2006). a Multivariate Arima Model To Forecast.; Artis, M. J., Clavel, J. G., Hoffmann, M., & Nachane, D. M. (2007). Harmonic Regression Models: A Comparative Review with Applications. SSRN Electronic Journal, 333. https://doi.org/10.2139/ssrn.1017519Test; Bloomfield, P. (2000). Fourier Analysis of Time Series: An Introduction. In Journal of the American Statistical Association (Vol. 95, Issue 452, p. 1373). https://doi.org/10.2307/2669794Test; Chatfield, C. (2000). Time-Series Forecasting. In Urologiia (Moscow, Russia : 1999) (Issue 1). Chapman & Hall/CRC. http://www.ncbi.nlm.nih.gov/pubmed/16856455Test; Chen, C. F., Chang, Y. H., & Chang, Y. W. (2009). Seasonal ARIMA forecasting of inbound air travel arrivals to Taiwan. Transportmetrica, 5(2), 125–140. https://doi.org/10.1080/18128600802591210Test; Chow, G. C., & Lin, A. (1971). Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series. The Review of Economics and Statistics, 53(4), 372. https://doi.org/10.2307/1928739Test; Coshall, J. (2006). Time series analyses of UK outbound travel by air. Journal of Travel Research, 44(3), 335–347. https://doi.org/10.1177/0047287505279003Test; Cowpertwait, P., & Metcalfe, A. (2009). Introductory Time Series with R. Springer. http://www.springer.com/la/book/9780387886978%0Ahttp://www.springer.com/la/book/9780387886978?wt_mc=ThirdParty.SpringerLink.3.EPR653.About_eBookTest; Dantas, T. M., Cyrino Oliveira, F. L., & Varela Repolho, H. M. (2017). Air transportation demand forecast through Bagging Holt Winters methods. Journal of Air Transport Management, 59, 116–123. https://doi.org/10.1016/j.jairtraman.2016.12.006Test; Denton, F. T. (1971). Adjustment of monthly or quarterly series to annual totals: An approach based on quadratic minimization. Journal of the American Statistical Association, 66(333), 99–102. https://doi.org/10.1080/01621459.1971.10482227Test; Díaz Olariaga, O., Girón Amaya, E., & Mora-Camino, F. (2017, October). Pronóstico de la demanda de pasajeros en aeropuertos privatizados. In VI Congreso Internacional de la Red Iberoamericana de Investigación en Transporte Aéreo (pp. 10-12). https://www.researchgate.net/publication/320434160_PRONOSTICO_DE_LA_DEMANDA_DE_PASAJEROS_EN_AEROPUERTOS_PRIVATIZADOSTest; Díaz Olariaga, Ó. (2016). Análisis del desarrollo reciente del transporte aéreo en Colombia. Revista Transporte y Territorio, 0(14), 122–143. https://doi.org/10.34096/rtt.i14.2432Test; du Preez, J., & Witt, S. F. (2003). Univariate versus multivariate time series forecasting: An application to international tourism demand. International Journal of Forecasting, 19(3), 435–451. https://doi.org/10.1016/S0169-2070Test(02)00057-2; Emiray, E.; Rodríguez, G. (2003). Evaluating time series models in short and long-term forecasting of Canadian air passenger data. No. 0306E, January 2003.; Franses, P. H. (1990). TESTING FOR SEASONAL UNIT ROOTS IN MONTHLY DATA. Erasmus University Rotterdam.; Goh, C., & Law, R. (2002). Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention. Tourism Management, 23(5), 499–510. https://doi.org/10.1016/S0261-5177Test(02)00009-2; Granger, C. W. J., & Newbold, P. (1974). Spurious Regressions in Econometrics. Journal of Econometrics, 2, 111–120. https://doi.org/10.1002/9780470996249.ch27Test; Greene, W. H. (1999). Análisis Econométrico (3rd ed.). Prentice Hall.; Gujarati, D., & Porter, D. (2010). Econometría (Quinta edi). McGraw Hill.; Hamilton, J. (1994). Time Series Analysis. Princeton University Press.; Harvey, A. C. (1993). Time Series Models. In Angewandte Chemie International Edition (2nd Editio, Vol. 6, Issue 11). MIT Press.; Hylleberg, S., Engle, R. F., Granger, C. W. J., & Yoo, B. S. (1990). Seasonal integration and cointegration. Journal of Econometrics, 44(1–2), 215–238. https://doi.org/10.1016/0304-4076Test(90)90080-D; IATA. (2007). Aviation Economic Benefits. IATA Economics Briefing, N° 8.; IATA. (2020). Air connectivity: Measuring the connections that drive economic growth. 57(2), Contents2–Contents2. https://doi.org/10.3143/geriatrics.57.contents2Test; Kim, J. H., & Moosa, I. (2001). Seasonal behaviour of monthly international tourist flows: Specification and implications for forecasting models. Tourism Economics, 7(4), 381–396. https://doi.org/10.5367/000000001101297937Test; Lim, C., & Mcaleer, M. (2010). A seasonal analysis of Asian tourist arrivals to Australia. Applied Economics, 32(4), 499–509. https://doi.org/10.1080/000368400322660Test; Lim, C., & McAleer, M. (2001). Forecasting tourist arrivals. Annals of Tourism Research, 28(4), 965–977. https://doi.org/10.1016/S0160-7383Test(01)00006-8; Lin, C. J., Chen, H. F., & Lee, T. S. (2011). Forecasting Tourism Demand Using Time Series, Artificial Neural Networks and Multivariate Adaptive Regression Splines:Evidence from Taiwan. International Journal of Business Administration, 2(2). https://doi.org/10.5430/ijba.v2n2p14Test; Lutkepohl, H., & Kratzig, M. (2013). Applied Time Series Econometrics Time. In Journal of Chemical Information and Modeling (Vol. 53, Issue 9). Cambridge University Press.; Marazzo, M., Scherre, R., & Fernandes, E. (2010). Air transport demand and economic growth in Brazil: A time series analysis. Transportation Research Part E: Logistics and Transportation Review, 46(2), 261–269. https://doi.org/10.1016/j.tre.2009.08.008Test; Martínez-Ortíz, A., & García-Romero, H. (2016). Competitividad en el transporte aéreo en Colombia. 218. https://www.repository.fedesarrollo.org.co/bitstream/handle/11445/3280/Repor_Junio_2016_Martinez_y_Garcia.pdf?sequence=2&isAllowed=y&fbclid=IwAR2zdrF15WDXB7QHagHNepZLhhwPxF5nAE-06gXbchtCeFt6oq1I8ChgYGo%0Ahttp://www.repository.fedesarrollo.org.co/handle/11Test; Mogollón, J. D. (2020). Pronóstico de la demanda del transporte aéreo en aeropuerto distribuidor. Aplicación al caso de Aeropuerto Internacional el Dorado. 15, 1–137.; Nieto, M. R., & Carmona-Benítez, R. B. (2018). ARIMA + GARCH + Bootstrap forecasting method applied to the airline industry. Journal of Air Transport Management, 71(June), 1–8. https://doi.org/10.1016/j.jairtraman.2018.05.007Test; Oh, C. O., & Morzuch, B. J. (2005). Evaluating time-series models to forecast the demand for tourism in Singapore: Comparing within-sample and postsample results. Journal of Travel Research, 43(4), 404–413. https://doi.org/10.1177/0047287505274653Test; Olivera, M., Cabrera, P., Bermúdez, W., & Hernandez, A. (2011). El impacto del transporte aéreo en la economía colombiana y las políticas públicas. In Cuaderno de fedesarrollo N.34. www.atac.aero/imagenesindex/cuaderno_fedesarrollo_34.pdf; Ramos, I., & Cardenas, L. (2016). Prognosis de tráfico en el Aeropuerto de Bogotá-El Dorado y análisis de la relación demanda-capacidad.; Sharif Azadeh, S., Labib, R., & Savard, G. (2013). Railway demand forecasting in revenue management using neural networks. International Journal of Revenue Management, 7(1), 18–36. https://doi.org/10.1504/IJRM.2013.053358Test; Straszheim, M. (1978). Airline demand functions in the North Atlantic and their pricing implications. Journal of Transport Economics and Policy, 12(2), 179–195.; The R Development Core Team. (2008). R: A Language and Environment for Statistical Computing: Vol. Version 2. https://www.r-project.orgTest/; Tsui, W. H. K., Ozer Balli, H., Gilbey, A., & Gow, H. (2014). Forecasting of Hong Kong airport’s passenger throughput. Tourism Management, 42(2014), 62–76. https://doi.org/10.1016/j.tourman.2013.10.008Test; United States Bureau Census. (2021). X-13ARIMA-SEATS Reference Manual Accessible HTML Output Version.; Wei, W. (2006). Time Series Analysis: Univariate and Multivariate Methods. In Technometrics (Vol. 33, Issue 1). Pearson. https://doi.org/10.1080/00401706.1991.10484777Test; Williams, B. M. (2001). Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling. Transportation Research Record, 01, 194–200.; Yule, G. U. (1926). Why do we Sometimes get Nonsense-Correlations between Time-Series?: A Study in Sampling and the Nature of Time-Series. Journal of the Royal Statistical Society, 89(1), 1–63.; https://repositorio.unal.edu.co/handle/unal/81124Test; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.coTest/

الإتاحة: https://doi.org/10.2307/2669794Test
https://doi.org/10.1177/0047287505279003Test
https://doi.org/10.1080/01621459.1971.10482227Test
https://doi.org/10.34096/rtt.i14.2432Test
https://doi.org/10.3143/geriatrics.57.contents2Test
https://doi.org/10.1080/00401706.1991.10484777Test
https://repositorio.unal.edu.co/handle/unal/81124Test
https://repositorio.unal.edu.coTest/

المؤلفون: Dickens, Borame L, Koo, Joel R, Lim, Jue Tao, Sun, Haoyang, Clapham, Hannah E, Wilder-Smith, Annelies, Cook, Alex R

المساهمون: DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH), BIOLOGICAL SCIENCES, DEPT OF MEDICINE, SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH

المصدر: Elements

مصطلحات موضوعية: Lockdown, travel restrictions, border measures, SARS-CoV-2, quarantine, isolation, air passengers

العلاقة: Dickens, Borame L, Koo, Joel R, Lim, Jue Tao, Sun, Haoyang, Clapham, Hannah E, Wilder-Smith, Annelies, Cook, Alex R (2020-12-01). Strategies at points of entry to reduce importation risk of COVID-19 cases and reopen travel. JOURNAL OF TRAVEL MEDICINE 27 (8). ScholarBank@NUS Repository. https://doi.org/10.1093/jtm/taaa141Test; https://scholarbank.nus.edu.sg/handle/10635/191020Test

الإتاحة: https://doi.org/10.1093/jtm/taaa141Test
https://scholarbank.nus.edu.sg/handle/10635/191020Test