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Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I

Research Article

Optimal Planning Method of Rural Tourism Route Based on Multi Constraint and Multi Objective

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50543-0_6,
        author={Qingqing Geng and Yi Liu},
        title={Optimal Planning Method of Rural Tourism Route Based on Multi Constraint and Multi Objective},
        proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2024},
        month={3},
        keywords={Multiple Objectives Rural Tourism Route Planning Route Optimization Tourism Routes Multi Constraint},
        doi={10.1007/978-3-031-50543-0_6}
    }
    
  • Qingqing Geng
    Yi Liu
    Year: 2024
    Optimal Planning Method of Rural Tourism Route Based on Multi Constraint and Multi Objective
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-50543-0_6
Qingqing Geng1, Yi Liu1,*
  • 1: Chongqing College of Architectural and Technology
*Contact email: liuyi13808301860@163.com

Abstract

In order to recommend rural tourism routes that best meet users’ tourism needs, a multi constraint and multi-objective optimal planning method for rural tourism routes is proposed. Firstly, collect and mine tourist generated data, obtain personalized preferences of tourists, construct a comprehensive evaluation model for tourist attractions, and obtain comprehensive evaluation results for tourist attractions. Secondly, from the perspective of multiple constraints and planning objectives, establish an optimal planning model for rural tourism routes. Finally, by applying the evaluation function method to solve the above construction model, the optimal planning results of rural tourism routes can be obtained. The experimental data shows that after the application of the proposed method, the optimal planning results of rural tourism routes are consistent with the optimal routes, and the minimum number of iterations for solving the optimal planning results of rural tourism routes is 8, fully confirming the better application performance of the proposed method.

Keywords
Multiple Objectives Rural Tourism Route Planning Route Optimization Tourism Routes Multi Constraint
Published
2024-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50543-0_6
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