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Maximizing pleasure in day tours: Utility theory approach
Author(s) -
Jana Rabin K.,
Mitra Subrata K.
Publication year - 2020
Publication title -
international journal of tourism research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.155
H-Index - 58
eISSN - 1522-1970
pISSN - 1099-2340
DOI - 10.1002/jtr.2424
Subject(s) - pleasure , marginal utility , computer science , mathematical optimization , linear programming , integer programming , diversity (politics) , plan (archaeology) , value (mathematics) , mathematics , psychology , economics , geography , microeconomics , machine learning , sociology , archaeology , neuroscience , anthropology
Abstract A personalized day tour planning problem is studied to maximize the total pleasure gained from the tour. The concept of utility theory is employed for this purpose. Considering the uniform and diminishing marginal pleasure intensities, two zero–one mixed integer nonlinear programming models are proposed. Both the models can accommodate preferred time slots, visits to specific spots, and spots diversity. A branch‐and‐bound algorithm is used to solve the proposed models. Finally, they are applied to solve the day tour problem for Delhi, India. The tour plan obtained using the diminishing marginal pleasure intensity offers an improved value of total pleasure.