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The Determination of Potential Locations for Hotel and Service Facilities in relation to the Transport System – the Logistic Approach

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The existing space distribution of hotel and service facilities in different places in the world is mainly the result of natural organic growth. Such facilities were built in areas of actual and/or potential demand, provided adequate financial resources and land were available. Additionally, an important factor was also the availability of technical infrastructure, including, in particular, transport. Sometimes those facilities were built without any detailed spatial analysis of their locations. It can be concluded that planning of hotel and service facilities lacked clear and accurate methods as well as analytic tools. The main reason was the lack of relevant databases. Along the development of Information and Communication Technologies (ICT), information tools started to be used in nearly every area. It should be noted that the development of the hotel and service base can be significantly promoted while using modern ICT solutions. In their article, the authors, among others, propose to use trip planning tools backed by Big Data. A trip planner can be used to collect data that help to determine the location of hotel and service facilities (e.g. hotels, guest houses, motels, leisure, recreation and restaurant facilities). The article presents the case study from the Upper Silesia conurbation, Poland. The use of Big Data allows to select locations of investment corresponding to actual tourist travel needs, especially that every year tourism becomes an increasingly important sector of the national economy in many countries.
Rocznik
Strony
27--39
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
  • The International University of Logistics and Transport in Wrocław, Poland
  • The Silesian University of Technology Katowice, Poland
  • The Silesian University of Technology Katowice, Poland
Bibliografia
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  • [3] Tundys B., The Impact and Role of Transportation on the Construction and Operations of the Green Supply Chain, [in:] Sustainable Transport Development, Innovation and Technology, collective work ed. by M. Suchanek, Springer Proceedings in Business and Economics, Switzerland, Cham 2017, pp. 15-26.
  • [4] Naumov V., Estimating the Vehicles’ Number for Servicing a Flow of Requests on Goods Delivery, Transportation Research Procedia, 27 (2017), pp. 412-419.
  • [5] Mindur, L. (ed.), Technologie transportowe, Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB, Radom 2014.
  • [6] Jacyna M., Żak J., Jacyna-Gołda I., Merkisz J., Merkisz-Guranowska A., Pielucha J., Selected aspects of the model of proecological transport system, Journal of KONES, Powertrain and Transport, 20 (2013), pp. 193-202.
  • [7] Szołtysek J., Podstawy logistyki miejskiej, Wydawnictwo Akademii Ekonomicznej, Katowice 2007.
  • [8] Sierpiński G., Staniek M., Education by access to visual information – methodology of moulding behaviour based on international research project experiences, [in:] 9th International Conference Of Education, Research And Innovation (ICERI2016), 14-16 November 2016, Seville, Spain ICERI2016 Proceedings, ed. by: L. Gómez Chova, A. López Martínez, I. Candel Torres, Published by IATED Academy, pp. 6724-6729.
  • [9] Pijoan A., Kamara-Esteban O., Oribe-Garcia I., Alonso-Vicario A., Borges C.E., GTPlat: Geosimulation for Assessing the Application of Incentives to Transport Planning, [in:] Sierpiński G. (ed.), Advanced Solutions of Transport Systems for Growing Mobility, Advances in Intelligent Systems and Computing, vol. 631, Cham 2018, pp. 74-89.
  • [10] Ortúzar J. D., Willumsen L. G., Modelling transport, John Wiley & Sons, Ltd, West Sussex, United Kingdom 2011.
  • [11] Lewczuk K., Żak J., Pyza D., Jacyna-Gołda I., Vehicle Routing in Urban Area – Environmental and Technological Determinants, WIT Transactions on The Built Environment, 130 (2013), pp. 373-384.
  • [12] Esztergár-Kiss D., Csiszár Cs., Evaluation of multimodal journey planners and definition of service levels, International Journal of Intelligent Transportation Systems Research, 13 (2015), pp. 154–165.
  • [13] Borkowski P., Towards an Optimal Multimodal Travel Planner – Lessons from the European Experience, [in:] Sierpiński G., Intelligent Transport Systems and Travel Behavior, Advances in Intelligent Systems and Computing, vol. 505, Cham 2017, pp. 163-174.
  • [14] Sierpiński G., Technologically advanced and responsible travel planning assisted by GT Planner, [in:] Macioszek E., Sierpiński G. (edd.), Contemporary Challenges of Transport Systems and Traffic Engineering. Lecture Notes in Network and Systems, vol. 2, Cham 2017, pp. 65-77.
  • [15] Maciejewski M., Dynamic Transport Services, [in:] Horni A., Nagel K., Axhausen K. W. (edd.), The Multi-Agent Transport Simulation MATSim, Ubiquity Press, London 2016, pp. 145-152.
  • [16] Celiński I., Sierpiński G., Staniek M., Sustainable development of the transport system through rationalization of transport tasks using a specialised travel planner, [in:] Dell'Acqua G., Wegman F. (edd.), Transport Infrastructure and Systems, CRC Press, Taylor & Francis Group, London 2017, pp. 1071-1079.
  • [17] Szarata A., The simulation analysis of suppressed traffic, Advances in Transportation Studies, 29 (2013), pp. 35-44.
  • [18] Celiński I., Krawiec S., Macioszek E., Sierpiński G., The Analysis of Travellers’ Behaviour in the Upper Silesian Conurbation, The Archives of Transport, 24 (2012), pp. 441-461.
  • [19] Sierpiński G., Ocena systemu transportowego oraz preferencje osób podróżujących jako wsparcie kształtowania podziału zadań przewozowych – studium przypadku dla konurbacji górnośląskiej, Prace Naukowe Politechniki Warszawskiej. Seria Transport, 111 (2016), pp. 487-499.
  • [20] Mindur M., Logistyka. Nauka – Badania – Rozwój, Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB, Warszawa–Radom 2017.
  • [21] Hu T., Yang J., Li X., Gong P., Mapping Urban Land Use by Using Landsat Images and Open Social Data, Remote Sensing, 151 (2016)/8, pp. 1-18.
  • [22] Kijewska K., Małecki K., Iwan S., Analysis of Data Needs and Having for the Integrated Urban Freight Transport Management System, Communications in Computer and Information Science, 640 (2016), pp. 135-148.
  • [23] Valerio, D., Road Traffic Monitoring from Cellular Network Signaling, FTW-TR-2009-003, (2009), pp. 1-48.
  • [24] Chapleau, R., Morency, C., Dynamic spatial analysis of urban travel survey data using GIS, [in:] 25th Annual ESRI International User Conference, San Diego, Paper UC1232, California 2005, pp. 1-14.
  • [25] Zielstra D., Hochmair H. H., Neis P., Assessing the Effect of Data Imports on the Completeness of OpenStreetMap – A United States Case Study, Transactions in GIS, 17 (2013)/3, pp. 315-334.
  • [26] Camboim S. P., Bravo J. V. M., Sluter C. R., An Investigation into the Completeness of and the Updates to, OpenStreetMap Data in a Heterogeneous Area in Brazil, ISPRS International Journal of Geo-Information, (2015)/4, pp. 1366-1388.
  • [27] Sierpiński G., Macioszek E., Staniek M., Celiński I., Big Data Concerning Travel Preferences as a Means to Support Decision Making in the Field of Environmentally Friendly Urban Development, [in:] Regional Studies Association Winter Conference 2016. New Pressures on Cities and Regions, 24-24 November 2016, London 2016, pp. 1-11.
  • [28] Pawłowska B., Zrównoważony rozwój transportu na tle współczesnych procesów społeczno-gospodarczych, Wydawnictwo Uniwersytetu Gdańskiego, Gdańsk 2013.
  • [29] Gajewski D., Szarata A., Wahania ruchu na ulicach Warszawy, Logistyka (2010)/4 , CD 2, pp. 1-8 - https://www.czasopismologistyka.pl/artykuly-naukowe/send/195-artykuly-na-plycie-cd-1/1827-artykul
  • [30] Ministry of Tourism & Recreation, Tourism Branch, The Trip-Planning Behaviour of American Travellers And The Causes of Last-Minute Bookings, Ontario, June 2005.
  • [31] Małecki K., The importance of automatic traffic lights time algorithms to reduce the negative impact of transport on the urban environment, Transportation Research Procedia, 16 (2016), pp. 329-342.
  • [32] Iwan S., Małecki K., Stalmach D., Utilization of Mobile Applications for the Improvement of Traffic Management Systems, [in:] Mikulski J. (edd.), Telematics - Support for Transport. TST 2014. Communications in Computer and Information Science, vol 471, Berlin–Heidelberg 2014, pp. 48-58.
  • [33] Iwan S., Małecki K., Data Flows in an Integrated Urban Freight Transport Telematic System, [In:] Mikulski J. (edd.), Telematics in the Transport Environment. TST 2012. Communications in Computer and Information Science, vol 329, Berlin–Heidelberg 2012, pp. 79-86.l 329, Berlin–Heidelberg 2012, pp. 79-86.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5dd5accd-2ecf-48de-8c3f-8f79b6029781
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