Modelling tourists' accommodation preferences using a combination of Fuzzy AHP and GIS methods

  • Domokos Esztergár-Kiss Budapesti Műszaki és Gazdaságtudományi Egyetem Közlekedésmérnöki és Járműmérnöki Kar Közlekedéstechnológiai és Közlekedésgazdasági Tanszék
  • Mahdi Ali Budapesti Műszaki és Gazdaságtudományi Egyetem Közlekedésmérnöki és Járműmérnöki Kar Közlekedéstechnológiai és Közlekedésgazdasági Tanszék
Keywords: GIS, FAHP, Decision modeling

Abstract

It is an important question for tourists which accommodation to choose when travelling. During the selection process, they try to find the location that best meets their expectations of the accommodation and their individual needs. The authors help in the decision-making process by combining the Fuzzy AHP and the GIS methods to evaluate accommodation options
according to different criteria. Applying this method, they explore the following aspects: the price of the room, the distance from the city centre, the degree of the sense of safety, the ratings of the place, whether breakfast is included in the price, and the possibility of free cancellation. In the first part of the research, the Fuzzy AHP method is used to calculate
the weights of the criteria. In the second part, the GIS method is used to map the ranked accommodation options.

References

Alam, J. (2018). A Model for Accommodation Selection using GIS and Multi-Criteria System. Global Journal of HUMAN-SOCIAL SCIENCE: B Geography, Geo-Sciences, Environmental

Science & Disaster Management, 18(3).

Ananth, M., DeMicco, F. J., Moreo, P. J., & Howey, R. M. (1992). Marketplace Lodging Needs of Mature Travelers. Cornell Hotel and Restaurant Administration Quarterly, 33(4), 12–24. DOI: https://doi.org/bdxcwv

Bahaire, T., & Elliott-White, M. (1999). The application of geographical information systems (GIS) in sustainable tourism planning: A review. Journal of Sustainable Tourism, 7(2), 159–174. DOI:

https://doi.org/cmwmsr

Büyüközkan, G., & Feyzioğlu, O. (2004). A fuzzy-logic-based decisionmaking approach for new product development. International Journal of Production Economics, 90(1), 27–45. DOI:

https://doi.org/ccd6zt

Chang, C. W., Wu, C. R., & Lin, H. L. (2009). Applying fuzzy hierarchy multiple attributes to construct an expert decision making process. Expert Systems with Applications, 36(4), 7363–7368. DOI: https://doi.org/dzqfzh

Chou, T. Y., Hsu, C. L., & Chen, M. C. (2008). A fuzzy multi-criteria decision model for international tourist hotels location selection. International Journal of Hospitality Management, 27(2), 293–301. DOI: https://doi.org/cphwrr

Do, Q. H., & Chen, J. F. (2013). Prioritizing the factor weights affecting tourism performance by FAHP. International Journal of Engineering Business Management, 5(1), 51. DOI: https://doi.org/gcm4k9

Fletcher, J., Fyall, A., Gilbert, D., & Wanhill, S. (2013). Tourism: Principles and Practice 5th edn: Principles and Practice. Pearson UK. https://www.dawsonera.com:443/abstract/9780273758358

García-Palomares, J. C., Gutiérrez, J., & Mínguez, C. (2015). Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS. Applied Geography, 63, 408–417. DOI: https://doi.org/ggw4kn

Goeldner, C. R., & Ritchie, J. R. B. (2007). Tourism principles, practices, philosophies. John Wiley & Sons.

Hsieh, L. F., & Lin, L. H. (2010). A performance evaluation model for international tourist hotels in Taiwan-An application of the relational network DEA. International Journal of Hospitality Management, 29(1), 14–24. DOI: https://doi.org/dshpfh

Hsu, T. K., Tsai, Y. F., & Wu, H. H. (2009). The preference analysis for tourist choice of destination: A case study of Taiwan. Tourism Management, 30(2), 288–297. DOI: https://doi.org/cfvjvs

Ibraheem, A. T., Abid, A. N., & Mehdi, A. J. (2015). Modern basics and methods for car parking; Lap lambert academic publishing. VDM Publishing Group, Germany.

Lockyer, T. (2005). Understanding the dynamics of the hotel accommodation purchase decision. International Journal of Contemporary Hospitality Management, 17(6), 481–492. DOI: https://doi.org/bb7sp5

Losada, N., Alén, E., Nicolau, J. L., & Domínguez, T. (2017). Senior tourists’ accommodation choices. International Journal of Hospitality Management, 66, 24–34. DOI: https://doi.org/gch3th

Malczewski, J. (2006). GIS-based multicriteria decision analysis: A survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI: https://doi.org/br58mc

Otoo, F. E., Kim, S., & Choi, Y. (2020). Understanding senior tourists’ preferences and characteristics based on their overseas travel motivation clusters. Journal of Travel and Tourism Marketing, 37(2), 246–257. DOI: https://doi.org/gksk5x

Pinke-Sziva, I., Smith, M., Olt, G., & Berezvai, Z. (2019). Overtourism and the night-time economy: a case study of Budapest. International Journal of Tourism Cities, 5(1), 1–16. DOI: https://doi.org/krkg

Saaty, T. L. (2001). Fundamentals of the analytic hierarchy process. In The analytic hierarchy process in natural resource and environmental decision making (pp. 15–35). Springer.

Saaty, T. L. (2004). Decision making — the Analytic Hierarchy and Network Processes (AHP/ANP). Journal of Systems Science and Systems Engineering, 13(1), 1–35. DOI: https://doi.org/fk36gj

Smith, M., Puczkó, L., & Rátz, T. (2009). Twenty-three districts in search of a city: Budapest-the capitaless capital? City Tourism: National Capital Perspectives, 201–213. DOI: https://doi.org/bbz2nr

Stringam, B. B., Gerdes, J., & Vanleeuwen, D. M. (2010). Assessing the importance and relationships of ratings on user-generated traveler reviews. Journal of Quality Assurance in Hospitality and Tourism, 11(2), 73–92. DOI: https://doi.org/ff2ghx

Theobald, W. F. (2013). Global Tourism. In Global Tourism. Routledge. DOI: https://doi.org/krkh

Vahidnia, M H, Alesheikh, a, Alimohammadi, a, & Bassiri, a. (2008). Fuzzy analytical hierarchy process in GIS application. The International Archives of the Photogrammetry, Remote Sensing

and Spatial Information Sciences, 37(B2), 593–596.

Wei, W. (2012). Research on the Application of Geographic Information System in Tourism Management. Procedia Environmental Sciences, 12, 1104–1109. DOI: https://doi.org/krkj

Published
2023-10-15
How to Cite
Esztergár-KissD., & AliM. (2023). Modelling tourists’ accommodation preferences using a combination of Fuzzy AHP and GIS methods. Scientific Review of Transport, 73(5), 28-37. https://doi.org/10.24228/KTSZ.2023.5.3
Section
Articles