A tour route planning model for tourism experience utility maximization

Tourism experience has great impact on the tourist satisfaction, and therefore, tourists pay more attention to the tourism experience utility of the tour. The present problem is how to plan the tour route to maximize tourism experience utility considering tourists’ preference of attraction, time, an...

Full description

Bibliographic Details
Main Authors: Xiongbin Wu, Hongzhi Guan, Yan Han, Jiaqi Ma
Format: Article
Language:English
Published: SAGE Publishing 2017-10-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814017732309
id doaj-46bb02383afd44e4aa0d3983690f77e4
record_format Article
spelling doaj-46bb02383afd44e4aa0d3983690f77e42020-11-25T03:20:34ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-10-01910.1177/1687814017732309A tour route planning model for tourism experience utility maximizationXiongbin Wu0Hongzhi Guan1Yan Han2Jiaqi Ma3Beijing Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, ChinaBeijing Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, ChinaBeijing Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, ChinaTransportation Solutions and Technology Applications Division, Leidos, Inc., Reston, VA, USATourism experience has great impact on the tourist satisfaction, and therefore, tourists pay more attention to the tourism experience utility of the tour. The present problem is how to plan the tour route to maximize tourism experience utility considering tourists’ preference of attraction, time, and cost budgets. The utility function for the tourism experience, consisting of utilities of tourism activities and travel, was proposed. An optimization model for tour route planning was established with the objective function of the tourism experience utility. Then, the computational method to obtain the optimal solution was given, and the feasibility of the method was validated by an example of a tourism transportation network. Finally, sensitivity analyses were conducted by varying the parameters of the tourism experience utility. The results showed that the tourists’ preference of attraction, degree of attention to travel time, and travel cost had great influence on the tour route planning. The tourists with high value of time tend to choose transportation mode with shorter travel times, and the tourism experience utility of the tourists with high value of time was higher than that of the tourists with low value of time.https://doi.org/10.1177/1687814017732309
collection DOAJ
language English
format Article
sources DOAJ
author Xiongbin Wu
Hongzhi Guan
Yan Han
Jiaqi Ma
spellingShingle Xiongbin Wu
Hongzhi Guan
Yan Han
Jiaqi Ma
A tour route planning model for tourism experience utility maximization
Advances in Mechanical Engineering
author_facet Xiongbin Wu
Hongzhi Guan
Yan Han
Jiaqi Ma
author_sort Xiongbin Wu
title A tour route planning model for tourism experience utility maximization
title_short A tour route planning model for tourism experience utility maximization
title_full A tour route planning model for tourism experience utility maximization
title_fullStr A tour route planning model for tourism experience utility maximization
title_full_unstemmed A tour route planning model for tourism experience utility maximization
title_sort tour route planning model for tourism experience utility maximization
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2017-10-01
description Tourism experience has great impact on the tourist satisfaction, and therefore, tourists pay more attention to the tourism experience utility of the tour. The present problem is how to plan the tour route to maximize tourism experience utility considering tourists’ preference of attraction, time, and cost budgets. The utility function for the tourism experience, consisting of utilities of tourism activities and travel, was proposed. An optimization model for tour route planning was established with the objective function of the tourism experience utility. Then, the computational method to obtain the optimal solution was given, and the feasibility of the method was validated by an example of a tourism transportation network. Finally, sensitivity analyses were conducted by varying the parameters of the tourism experience utility. The results showed that the tourists’ preference of attraction, degree of attention to travel time, and travel cost had great influence on the tour route planning. The tourists with high value of time tend to choose transportation mode with shorter travel times, and the tourism experience utility of the tourists with high value of time was higher than that of the tourists with low value of time.
url https://doi.org/10.1177/1687814017732309
work_keys_str_mv AT xiongbinwu atourrouteplanningmodelfortourismexperienceutilitymaximization
AT hongzhiguan atourrouteplanningmodelfortourismexperienceutilitymaximization
AT yanhan atourrouteplanningmodelfortourismexperienceutilitymaximization
AT jiaqima atourrouteplanningmodelfortourismexperienceutilitymaximization
AT xiongbinwu tourrouteplanningmodelfortourismexperienceutilitymaximization
AT hongzhiguan tourrouteplanningmodelfortourismexperienceutilitymaximization
AT yanhan tourrouteplanningmodelfortourismexperienceutilitymaximization
AT jiaqima tourrouteplanningmodelfortourismexperienceutilitymaximization
_version_ 1724618009442516992