Application of TOPSIS-LP and New Routing Models for the Multi-Criteria Tourist Route Problem: The Case Study of Nong Khai, Thailand
Received: 17 April 2024 2024 | Revised: 5 May 2024 | Accepted: 13 May 2024 | Online: 19 June 2024
Corresponding author: Thanawat Tantipanichkul
Abstract
This study investigates the application of a new mathematical routing model, integrated with the TOPSIS Linear Programming (TOPSIS-LP) approach, to optimize tourist routes in Nong Khai, Thailand, within a Multi-Criteria Decision-Making (MCDM) framework. The research demonstrates the efficacy of TOPSIS-LP by consistently ranking the same alternative as the optimal route, achieving the highest rankings across various Multi-Attribute Decision Making (MADM) methods, including MOORA, WASPAS, and ARAS. These methods displayed significant consistency in outcome evaluation, with Spearman Correlation Coefficients (SCC) of 0.952 for MOORA WASPAS, and ARAS, indicating the influence of diverse weighting and aggregation strategies in route optimization. Moreover, the study confirmed a perfect alignment (SCC of 1.00) between TOPSIS-LP and the traditional TOPSIS method, affirming that the enhancements to the LP components maintained the integrity of the original model. The findings provide invaluable insights for tourism planners aiming to improve tourist satisfaction and operational efficiency and contribute to the academic discourse by highlighting the practical utility of sophisticated mathematical models in real-world scenarios. This research not only advances the methodological practices in tourist route optimization, but also sets a benchmark for future research aimed at enhancing the effectiveness, robustness, and adaptability of MADM methods in the tourism sector.
Keywords:
tourist routing problem, routing model, TOPSIS, TOPSIS-LP, multi-criteria tourist routing problemDownloads
References
H. Han, "Consumer behavior and environmental sustainability in tourism and hospitality: a review of theories, concepts, and latest research," Journal of Sustainable Tourism, vol. 29, no. 7, pp. 1021-1042, Mar. 2021.
X. Ge and Y. Jin, "Sustainability Oriented Vehicle Route Planning Based on Time-Dependent Arc Travel Durations," Sustainability, vol. 15, no. 4, Dec. 2022, Art. no. 3208.
A. V. Nobre, C. C. R Oliveira, D. R. de Lucena Nunes, A. C. Silva Melo, G. E. Guimarães, R. Anholon, and V. W. B. Martins, "Analysis of Decision Parameters for Route Plans and their Importance for Sustainability: An Exploratory Study Using the TOPSIS Technique," Logistics, vol. 6, no. 2, May 2022, Art. no. 32.
F. Lin and H. P. Hsieh, "Multicriteria Route Planning for In-Operation Mass Transit under Urban Data," Applied Sciences, vol. 12, no. 6, Mar. 2022, Art. no. 3127.
M. Haboub, "The impact of cultural tourism on the local community from a socio-cultural, environmental and economic perspective Nubian village of Gharb Suhail as a viable model,", International Journal of Eco-Cultural Tourism, Hospitality Planning and Development, vol. 5, no. 2, pp. 86-116, Dec. 2022.
D. S. Noonan and I. Rizzo, " Economics of cultural tourism: issues and perspectives," Journal of Cultural Economics, vol. 41, pp. 95-107, Mar. 2017.
J. Wang, X. Huang, Z. Gong, and K. Cao, "Dynamic assessment of tourism carrying capacity and its impacts on tourism economic growth in urban tourism destinations in China," Journal of Destination Marketing & Management, vol. 15, Mar. 2020, Art. no. 100383.
J. Qi and Q. Wang, "Tourism Route Selection Model for Tourism Sustainable Development Based on Improved Genetic Algorithm," International Transactions on Electrical Energy Systems, vol. 2022, Sep. 2022, Art. no. 428701187011.
D. D’Uva and A. Rolando, "A Method to Select and Optimize Slow Tourism Routes Using a Quality Index Procedure Based on Image Segmentation and DTM Modelling Based on NURBS: The Case Study of Multimodal Access to Inner Places from the Nodes of the Adriatic Coastline’s Infrastructure Bundle," Sustainability, vol. 15, no. 1, Dec. 2022, Art. no. 373.
W. Niu, "A Novel Multiobjective Optimization for Tourism Route Based on Improvement ACO Method and Topology Optimization," 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2022, pp. 701-704.
S. Li, T. Luo, L. Wang, L. Xing, and T. Ren, "Tourism route optimization based on improved knowledge ant colony algorithm," Complex & Intelligent Systems, vol. 8, no. 5, pp. 3973-3988, Mar. 2022.
B. Huang, L. Yao, and K. Raguraman, "Bi-level GA and GIS for Multi-objective TSP Route Planning," Transportation Planning and Technology, vol. 29, no. 2, pp. 105-124, Feb. 2007.
S. Bock and K. Klamroth, "Combining Traveling Salesman and Traveling Repairman Problems: A multi-objective approach based on multiple scenarios," Computers & Operations Research, vol. 112, Dec. 2019, Art. no. 104766.
P. C. Pop, O. Cosma, C. Sabo, and C. P. Sitar, "A comprehensive survey on the generalized traveling salesman problem," European Journal of Operational Research, vol. 314, no. 3, pp. 819-835, May. 2024.
N. Sathya and A. Muthukumaravel, "A review of the optimization algorithms on traveling salesman problem," Indian Journal of Science and Technology, vol. 8, no. 29, pp. 1-4, Nov. 2015.
O. Cheikhrouhou and I. Khoufi, "A comprehensive survey on the Multiple Traveling Salesman Problem: Applications, approaches and taxonomy," Computer Science Review, vol. 40, May. 2021, Art. no. 100369.
M. Abdul-Niby, M. Alameen, A. Salhieh, and A. Radhi, "Improved Genetic and Simulating Annealing Algorithms to Solve the Traveling Salesman Problem Using Constraint Programming," Engineering, Technology & Applied Science Research, vol. 6, no. 2, pp. 927-930, Apr. 2016.
H. Jafarzadeh, N. Moradinasab, and M. Elyasi, "An Enhanced Genetic Algorithm for the Generalized Traveling Salesman Problem," Engineering, Technology and Applied Science Research, vol. 7, no. 6, pp. 2260-2265, Dec. 2017.
E. W. Dijkstra, "A note on two problems in connexion with graphs," Numerische Mathematik, vol. 1, pp. 269-271., Dec. 1959.
C.-L. Hwang and K. Yoon, “Methods for Multiple Attribute Decision Making,” in Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey, C.-L. Hwang and K. Yoon, Eds. Berlin, Heidelberg, Germany: Springer, 1981, pp. 58–191.
R. R. Menon and V. Ravi, "Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain," Cleaner Materials, vol. 5, Sep. 2022, Art. no. 100130.
J. J. Wang, Y. Y. Jing, C. F. Zhang, and J. H. Zhao, "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, vol. 13, no. 9, pp. 2263-2278, Dec. 2009.
S. Mahmudova, "Application of the TOPSİS method to improve software efficiency and to optimize its management," Soft Computing, vol. 24, no. 1, pp. 697-708, Jan. 2020.
C. A. S. Araujo, P. Wanke, and M. M. Siqueira, "A performance analysis of Brazilian public health: TOPSIS and neural networks application," International Journal of Productivity and Performance Management, vol. 67, no. 9, pp. 1526-1549, Nov. 2018.
P. Xie, "Development Ranking in Real Estate Strategy Management in China Based on TOPSIS Method," in 2008 ISECS International Colloquium on Computing, Communication, Control, and Management, vol. 3, pp. 254-258, Aug. 2008.
S. Hajduk, "Multi-Criteria Analysis in the Decision-Making Approach for the Linear Ordering of Urban Transport Based on TOPSIS Technique," Energies, vol. 15, no. 1, Dec. 2021, Art. no. 274.
S. Joshi, M. Sharma, and R. K. Singh, "Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS," Journal of Operations and Strategic Planning, vol. 3, no. 1, pp. 7-30, Aug. 2020.
B. Oztaysi, "A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems," Knowledge-Based Systems, vol. 70, pp. 44-54, Nov. 2014.
V. C. Nguyen, T. Nguyen, and D. Tien, "Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6775-6780, Feb. 2021.
A. Reyadh and A. Burhan, "Non-Profit Organization Project Selection Process Using the Hygiene Method of Multi-Criteria Decision Making," Engineering, Technology & Applied Science Research, vol. 12, no.5, pp. 9097-9101, Oct. 2022.
P. To-On, N. Wichapa, and W. Khanthirat, "A novel TOPSIS linear programming model based on response surface methodology for determining optimal mixture proportions of lightweight concrete blocks containing sugarcane bagasse ash," Heliyon, vol. 9, no. 7, Jul. 2023, Art. no. e17755.
A. Sriburum, N. Wichapa, and W. Khanthirat, "A Novel TOPSIS Linear Programming Model Based on the Taguchi Method for Solving the Multi-Response Optimization Problems: A Case Study of a Fish Scale Scraping Machine," Engineered Science, vol. 23, May. 2023. Art. no. 882.
S. Piewdang, P. Mekkamol, and S. Untachai, "Measuring Spiritual Tourism Management in Community: A Case Study of Sri Chom Phu Ongtu Temple, Thabo district, Nongkhai Province, Thailand," Procedia - Social and Behavioral Sciences, vol. 88, pp. 96-107, Sep. 2013.
A. Auesriwong, A. Nilnoppakun, and W. Parawech, "Integrative Participatory Community-based Ecotourism at Sangkhom District, Nong Khai Province, Thailand," Procedia Economics and Finance, vol. 23, pp. 778-782, Jan. 2015.
W. K. Brauers and E. K. Zavadskas, "The MOORA method and its application to privatization in a transition economy," Control and cybernetics, vol. 35, no. 2, pp. 445-469, Jan. 2006.
E. K. Zavadskas, Z. Turskis, J. Antucheviciene, and A. Zakarevicius, "Optimization of weighted aggregated sum product assessment," Elektronika ir Elektrotechnika, vol. 122, no. 6, pp. 3-6, Jul. 2012.
E. K. Zavadskas and Z. Turskis, "A new additive ratio assessment (ARAS) method in multicriteria decision‐making," Technological and economic development of economy, vol. 16, no. 2, pp. 159-172, June 2010.
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Copyright (c) 2024 Wasana Phuangpornpitak, Wanita Boonchom, Kittanathat Suphan, Watchara Chiengkul, Thanawat Tantipanichkul
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