A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm
Bibliographic Data
| ID | 22034669 |
|---|---|
| Authors | Mohamed A Damos (0009-0001-9401-5267, Southwest Jiaotong University), Jun Zhu (0000-0003-2401-7096, Southwest Jiaotong University, corresponding author), Weilian li (0000-0003-3991-3002, Southwest Jiaotong University), Abubakr Hassan (0000-0003-1998-4559, Karary University), Elhadi Khalifa (Karary University) |
| Year | 2021 |
| Volume | 10 |
| Issue | 8 |
| Pages | 530 |
| Publication date | 2021-08-07 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10080530 |
| OpenAlex | W3193114382 |
| Language | EN |
| Citations received | 6 |
| References cited | 28 |
One of the most important variables that leads to effective individual and group tours is the tourism route planning approach, which enables tourists to engage with tourism with ease, speed, and safety. However, current methods of designing tourist routes have some glitches, such as relying only on external objectives to find the best route. In this paper, a novel urban tourism path planning method based on a multiobjective genetic algorithm is proposed. The main goal of this paper is to enhance the accuracy of the genetic algorithm (GA) by adopting new parameters and selecting the optimal tourism path by combining external and internal tourist site potentials. Moreover, the GA and analytical hierarchy process (AHP) were used in our proposed approach to evaluate urban tourism route planning under multiple conflicting objectives. To visualize and execute the proposed approach, the geographic information system (GIS) environment was used. Our suggested approach has been applied to develop the tourist road network of Chengdu City in China. Compared with existing tourism path planning approaches, our proposed approach is more accurate and straightforward than other approaches used to choose routes
Analytic hierarchy process · Data mining · Dijkstra's algorithm · Genetic algorithm · Geography · Machine learning · Mathematical optimization · Operations research · Route planning · Shortest path problem · Tourism · Computer Science · Cruise Tourism Development and Management · Diverse Aspects of Tourism Research · Engineering · Mathematics · Strategic Planning and Analysis · Theoretical Computer Science
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| Citations per year | 1.2 |
|---|---|
| Citation span | 2021 - 2025 (5) |
| Highly cited | No |