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Czasopismo
2016 | 12 | nr 3 | 283--295
Tytuł artykułu

Location of Airports - Selected Quantitative Methods

Treść / Zawartość
Warianty tytułu
Das Prblem der Lokalisierung von Flughäfen - Ausgewählte Quantitative Methoden
Lokalizacja portów lotniczych - wybrane metody ilościowe
Języki publikacji
EN
Abstrakty
EN
Background: The role of air transport in the economic development of a country and its regions cannot be overestimated. The decision concerning an airport's location must be in line with the expectations of all the stakeholders involved. This article deals with the issues related to the choice of sites where airports should be located.
Methods: Two main quantitative approaches related to the issue of airport location are presented in this article, i.e. the question of optimizing such a choice and the issue of selecting the location from a predefined set. The former involves mathematical programming and formulating the problem as an optimization task, the latter, however, involves ranking the possible variations. Due to various methodological backgrounds, the authors present the advantages and disadvantages of both approaches and point to the one which currently has its own practical application.
Results: Based on real-life examples, the authors present a multi-stage procedure, which renders it possible to solve the problem of airport location.
Conclusions: Based on the overview of literature of the subject, the authors point to three types of approach to the issue of airport location which could enable further development of currently applied methods. (original abstract)
Wstęp: Transport lotniczy obecnie odgrywa ważną rolę, jeśli chodzi o rozwój gospodarczy zarówno kraju, jak i danego regionu. Ewentualna decyzja o jego lokalizacji powinna w maksymalnym stopniu spełniać oczekiwania interesariuszy. Niniejszy artykuł podejmuje tematykę związaną z wyborem lokalizacji portów lotniczych.
Metody: W artykule przedstawiono dwa główne ilościowe nurty (podejścia) związane z problematyką lokalizacyjną portów lotniczych (PL), tj. problem optymalizacji wyboru lokalizacji PL oraz problem wyboru lokalizacji spośród z góry zdefiniowanego zbioru. Pierwszy z nich związany jest z programowaniem matematycznym i sformułowaniem problemu jako zadania optymalizacyjnego drugi natomiast zszeregowaniem wariantów Z uwagi na różne podłoże metodyczne autorzy przedstawili wady i zalety obu podejść oraz wskazali tą, która ma obecnie swoje praktyczne zastosowanie.
Rezultaty: W artykule, opierając się na rzeczywistych przykładach, zaprezentowano procedurę wieloetapową pozwalającą na rozwiązywanie problemu lokalizacji portów lotniczych.
Wnioski: W artykule, wskazano na bazie przeglądu literaturowego trzy koncepcje podejścia do problematyki lokalizacji PL, dzięki którym możliwe byłoby rozwinięcie obecnie stosowanych metod. (abstrakt oryginalny)
Czasopismo
Rocznik
Tom
12
Numer
Strony
283--295
Opis fizyczny
Twórcy
  • Poznan University of Technology, Poland
  • Poznan University of Technology, Poland
  • Poznan University of Technology, Poland
  • Poznan University of Technology, Poland
Bibliografia
  • Abdelmegid M.A., Shawki K.M., Abdel-Khalek H., 2015, GA optimization model for solving tower crane location problem in construction sites, Alexandria Engineering Journal 54 (3), 519-526, DOI:10.1016/j.aej.2015.05.011.
  • Adler N., Ülkü T., Yazhemsky E., 2003, Small regional airport sustainability: Lessons from benchmarking, Journal of Air Transport Management 33, 22-31, DOI:10.1016/j. jairtraman.2013.06.007.
  • Alnahhal M., Noche B., 2015, A genetic algorithm for supermarket location problem. Assembly Automation 35(1), 122-127, DOI: 10.1108/AA-02-2014-018.
  • Badri M., Mortagy A.K., Alsayed C.A., 1998, A multiobjective model for locating fire stations, European Journal of Operational Research, 10, 243-260, DOI:10.1016/S0377-2217(97)00247-6.
  • Ballis A., 2003, Airport Site Selection Based on Multicriteria Analysis: The Case Study of the island of samothraki, Operational Research, 3 (3), 261-279, DOI:10.1007/BF02936405.
  • Barda O.H., Dupuis J., Lencioni P., 1990, Multicriteria location of thermal power plants, European Journal of Operational Research 45(2-3), 332-346, DOI:10.1016/0377-2217(90)90197-J.
  • Beary B., 2011, Positive signals from Congress on aviation liberalization. Europolitics Transport [w:] red. M. Rabsztyn, Liberalizacja ruchu lotniczego - pozytywne sygnały z Kongresu USA [Liberation of airl transport - positive signals from the Congress of US, Biuletyn Informacyjny Głównej Biblioteki Komunikacyjnej nr 3; IATA, Fact Sweet. Industry Statistics, September 2006; Airport Council International, available at: http://www.airports.org/cda/aci_common/display/main/aci_content07_banners.jsp?zn=aci&cp=1_725_2_ [accessed 10 January 2012].
  • Bezić Heri, Šegota Alemka, Vojvodić Katija, 2010, Measuring The Efficiency Of Croatian Airports, Conference Proceedings: International Conference of the Faculty, October 2010, p1.
  • Bieńczak M., Fierek S., Kruszyński M., Żak J., 2009, Optymalizacja wielokryterialna problemu lokalizacji parkingów park and ride w aglomeracji poznańskiej [Multicriterial optimization of localization problem of ride park and ride parkings in Poznan area], in: Kaczmarek M., Krych A., Problemy komunikacyjne miast w warunkach zatłoczenia motoryzacyjnego - VII Konferencja Naukowo-Techniczna Skuteczne Zmniejszanie Zatłoczenia Miast [Communication problems of cities due to congestion], Poznań - Rosnówko, 1-13.
  • Blackwell B., DeVault T., Fernández-Juricic E., Dolbeer R., 2009, Wildlife collisions with aircraft: A missing component of landuse planning for airports, Landscape and Urban Planning, 93, 1-9.
  • Brans J., Mareschal B., 2005, PROMETHEE Methods. In: Figueira J., Greco S., Ehrgott M. (eds.): Multiple Criteria Decision Analysis. State of the Art Surveys, Springer, New York.
  • Brimberg J., Juel H., 1988, A bicriteria model for locating a semi-desirable facility in the plane, European Journal of Operational Research, 106, 144-151, DOI:10.1016/S0377-2217(97)00251-8.
  • Budd T., Ryley T., Ison S., 2014, Airport ground access and private car use: a segmentation analysis. Journal of Transport Geography, 04 (36), 106-115, DOI:10.1016/j.jtrangeo. 2014.03.012.
  • Chakuu S., Kozłowski P., Nędza M., 2012, Podstawy transportu lotniczego [Fundamentals of air transport], Wydawnictwo WSE-WSIiZ-WSZiA, Kraków-Rzeszów-Zamość.
  • Chen C.-L., Yuan T.-W., Lee W.-C., 2007, Multi-criteria fuzzy optimization for locating warehouses and distributions centers in a supply chin network, Journal of the Chinese Institute of Chemical Engineers 38, 393-407, DOI:10.1016/j.jcice.2007.08.001.
  • Chen K.-H., Liao C.-N., Wu L.-C., 2014, A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods, The Case of Airline Industry, Journal of Applied Mathematics, Article ID 470128, 10 pages, DOI:10.1155/2014/470128.
  • Daley B., 2010, Air Transport and the Environment by Ben Daley. Ashgate Publishing Limited.
  • Daskin M., 1995, Network and Discrete Location: Models, Algorithms and Applications, John Wiley & Sons, New York, 112-118, DOI: 10.1002/9781118032343.
  • Farahani R., SteadieSeifi M., Asgari N., 2010, Multiple criteria facility location problems: A survey, Applied Mathematical Modelling 34 (7), 1689-1709, DOI:10.1016/j.apm. 2009.10. 005.
  • Fernández J., P. Fernández P., Pelegrín B., 2000, A continuous location model for siting a non-noxious undesirable facility within a geographical region, European Journal of Operational Research 121, 259-27, DOI: 10.1016/S0377-2217(99)00216-7
  • Fragoudaki A., Giokas D., 2016, Airport performance in a tourism receiving country: Evidence from Greece, Journal of Air Transport Management 52, 80-89, DOI:10.1016/j.jairtraman.2015.12.010.
  • Gaetano L., Gagliardi P., Fredianelli L., Simonetti D., 2014, Noise mitigation action plan of Pisa civil and military airport and its effects on people exposure. Applied Acoustics 84, 25-36, DOI: 10.1016/j.apacoust.2014.02.020.
  • Gabus A., Fontela E., 1973, Perceptions of the world problematic: Communication procedure, communicating with those bearing collective responsibility. DEMATEL 1. Battelle Geneva Research Centre, Geneva.
  • Janic M., Reggiani A., 2002, An Application of the Multiple Criteria Decision Making (MCDM) Analysis to the Selection of a New Hub Airport, EJTIR 2 (2), 113-142.
  • Jaszkiewicz A., Słowiński R., 1999, The 'Light Beam Search' Approach - an Overview of Methodology and Applications, European Journal of Operational Research 113 (2), 300-314, DOI:10.1016/S0377-2217(98)00218-5.
  • Ha H.-K., Yoshida Y., Zhang A., 2010, Comparative Analysis of Efficiency for Major Northeast Asia Airports, Transportation Journal 49 (4), 9-23, DOI:10.2307/40904911.
  • Hillier F., Lieberman G., 2012, Introduction to operations research, McGraw-Hill, New York.
  • Kassomenos P., Panagopoulos I., Karagiannis A., 2005, An integrated methodology to select the optimum site of an airporton an island using limited meteorological information, Meteorological Applications 12, 231-240, DOI: 10.1017/S1350482705001702.
  • Kazda A., Caves R., 2007, Airport Site Selection And Runway System Orientation, [In:] eds. A. Kazda, R. Caves, Airport Design and Operation, Elsevier Science Ltd., 45-68, DOI: 10.1108/9780080546438-003
  • Konarzewska-Gubała E., 1989, Bipolar: Multiple Criteria Decision Aid Using Bipolar Refernce System, LAMSADE, "Cashier et Documents", 56, Paris.
  • Kupfer F., Kessels R.2, Goos Peter, Van de Voordee Eddy, Verhetsel Ann, 2016, The origin-destination airport choice for allcargo aircraft operations in Europe, Transportation Research Part E: Logistics and Transportation Review 87 (March), 53-74, DOI:10.1016/j.tre.2015.11.013.
  • Kupka P., Sawicki P., 2015, Optymalizacja lokalizacji zajezdni tramwajowej w systemie komunikacji miejskiej [Optimization of tram depot within the city transport system]. Logistyka 2, 462-472.
  • Landa-Silva D., 2009, Dynamic Lexicographic Approach for Heuristic Multi-objective Optimization, School of Computer Science, University of Nottingham, 1-11.
  • Luque G., Alba A., Dorronsoro B., 2008, Analyzing Parallel Cellular Genetic Algorithms. [In:] ed. E. Alba, C. Blum, P. Isasi, C. León, J. Gómez, Optimization Techniques for Solving Complex Problems, John Wiley & Sons, Inc., Hoboken, NJ, USA, 49-62, DOI: 10.1002/9780470411353.
  • Martel J., Aouni B., 1992, Methode Multicritere De Choix D'un Emplacement: Le Cas D'un Aero Port Dans Le Nouveau Quebec, INFOR 30 (2), 97-117.
  • Merkisz-Guranowska A., 2012, Bicriteria models of vehicles recycling network facility location. Archives of Transport 24 (2), 187-202, DOI:10.2478/v10174-012-0012-6.
  • Merkisz-Guranowska A., 2011, Modelowanie lokalizacji podmiotów sieci recyklingu pojazdów samochodowych [Modelling of localization of recycling network of vehicles], Seria: rozprawy habilitacyjne 455, Politechnika Poznańska, Poznań.
  • Merkisz-Guranowska A., 2013, Multicriteria optimization model for end-of-life vehicles recycling network, International Journal of Sustainable Development and Planning 8 (1), 88-89, DOI:10.2495/SDP-V8-N1-88-99
  • Min H., Melachrinoudis E., 1997, Dynamic Expansion and Location of An Airport: A Multiple Objective Approach, Transportation Research A 31 (5), 403-417. DOI:10.1016/S0965-8564(96)00037-7
  • Ministerstwo Transportu, 2007, Program rozwoju sieci lotnisk i lotniczych urządzeń naziemnych [The programme of the development of the network of airports and Grodnu equipments] - uchwała nr 86/2007 Rady Ministrów z 8. maja 2007 r., Warszawa.
  • Neves Juncioni J.C., Oliveira A.V.M., 2015, The estimation of "Azul Effect" on the induction of domestic air travel and the impact of the merger of Trip Regional Airline. 10th Brazilian Symposium on Transport Economics, São José dos Campos 21-22 may 2015.
  • Nowak M., 2008, Interaktywne wielokryterialne wspomaganie decyzji w warunkach ryzyka. Metody i zastosowania [Interactive multiciteria suport of decision process in risk conditions], Wydawnictwo Akademii Ekonomicznej w Katowicach.
  • Nowak M., 2006, INSDECM - An interactive procedure for stochastic multicriteria decision problems, European Journal of Operational Research 175, 1413-1430, DOI:10.1016/j.ejor.2005.02.016.
  • Nozick L.K., Turnquist M.A., 2001, A twoechelon inventory allocation and distribution center location analysis, Transportation Research Part E Logistics and Transportation Review 37(6), 425-441, DOI:10.1016/S1366-5545(01)00007-2.
  • Owen S.H., Daskin M.S., 1998, Strategic facility location: a review, European Journal of Operational Research 111 (3), 423-447, DOI:10.1016/S0377-2217(98)00186-6.
  • Pabedinskaité Arnoldina, Akstinaité Viktorija, 2014, Evaluation of the airport service quality, Procedia - Social and Behavioral Sciences 110, 398-409, DOI: 10.1016/j.sbspro. 2013.12.884.
  • Pantouvakis Angelos, Renzi Maria Francesca, 2016, Exploring different nationality perceptions of airport service quality, Journal of Air Transport Management 52, 90-98 DOI:10.1016/j.jairtraman.2015.12.005.
  • Postorino M.N., Pratico F.G., 2012, An application of the Multi-Criteria Decision Making analysis to a regional multi-airport system, Research in Transportation Business & Management 4, 44-52. DOI:10.1016/j.rtbm.2012.06.015.
  • Saaty T., 1980, The Analytic Hierarchy Process. McGraw-Hill, New York.
  • Sikora W., 2008, Badania operacyjne [Operational researches], Wydawnictwo PWE, Warszawa.
  • Silva J.A., Goncalves J.M., Correia M., Marreiros S., 2015, Airport planning process. The case of the new Lisbon airport, Finisterra 99, 63-79, DOI: 10.18055/Finis4119.
  • Skriver S., Andersen K., 2003, The bicriterion semi-obnoxious location (BSL) problem solved by an -approximation, European Journal of Operational Research 146, 517-528, DOI:10.1016/S0377-2217(02)00271-0.
  • Stevens N.J., Baker D.C., Freestone R., 2010, Airports in their urban settings: towards a conceptual model of interfaces in the Australian Context, Journal of Transport Geography 18 (2), 276-284, DOI: 10.1016/j.jtrangeo.2009.05.007.
  • Szeląg M., Greco S., Słowiński R., 2014, Variable Consistency Dominance-Based Rough Set Approach to Preference Learning in Multicriteria Ranking, Information Sciences 277, 525-552, DOI:10.1016/j.ins.2014.02.138.
  • Szeląg M., Słowiński R., Greco S., Błaszczyński J., Wilk S., 2010, jRank - Ranking using Dominance-based Rough Set Approach. Research Report RA-07/10, Poznań University of Technology, Poznań.
  • Togatlian M., Correia A., Belderrain M., 2007, A Modeling Tool to Assist on the Decision Process of Determining the Optimal Location of an Industrial Airport in Brazil. Journal of the Brazilian Air Transportation Research Society, 3 (t.1), 67-81.
  • Trzskalik T., 2014, Mulitiple decision support. Review of methods and applications. Scientific Papers of Silesian University of Technology. Organization and Management Series 74, 239-263.
  • Tzeng G.H., Huang J.J., 2011, Multiple Attribute Decision Making. Methods and Applications, CRC Press, London.
  • Turskis Z., Zavadskas E.K. 2010. A new fuzzy additive ratio assessment method (ARASF). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location, Transport 25(4), 423-432, DOI:10.3846/transport.2010.52.
  • Van der Kleij C., Hulschera S., Louters T., 2003, Comparing uncertain alternatives for a possible airport island location in the North Sea, Ocean & Coastal Management 46, 1031-1047, DOI:10.1016/j.ocecoaman.2003.09.001.
  • Wan Y.-W., Cheung R.K., Liu J., Tong J.H., 1998, Warehouse location problems for air freight forwarders: a challenge created by the airport relocation. Journal of Air Transport Management 10, 4 (4), 201-207, DOI:10.1016/S0969-6997(98)00024-6.
  • Warren A., Bell M., Budd L., 2012, Model of health? Distributed preparedness and multiagency interventions surrounding UK regional airports. Social Science & Medicine 74, 220-227, DOI: 10.1016/j.socscimed.2011.10.011.
  • Wells A., 2004, Airport Planning & Management, McGraw-Hill, DOI:10.1036/0071436065.
  • Yang C.Q., Wu T., Liao Y., 2014, Evaluation for the Location Selection of Airport Based on WLSM-TOPSIS Method. Applied Mechanics and Materials, vol. 548-549, 1823-1827, DOI:10.4028/www.scientific.net/AMM.548-549.1823.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171431716

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