A* algorithm based road planning for nature reserves: taking the Maasai Mara National Reserve as an example

Yingying Gu; Jikang Jiang

doi:10.1117/12.2685903

28 July 2023 A* algorithm based road planning for nature reserves: taking the Maasai Mara National Reserve as an example

Yingying Gu, Jikang Jiang

Author Affiliations +

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127564Q (2023) https://doi.org/10.1117/12.2685903
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

Nowadays, nature conservation has become a common concern all over the world, and the construction of nature reserves is an important initiative to promote the development of nature conservation and sustainable development of tourism economy. For the construction of nature reserves, road planning is not only related to the tourist experience but also to the biodiversity of the reserve and the interests of the indigenous people, so it is necessary to balance the interests of various parties in planning the roads of the reserve. In this paper, we take the Maasai Mara National Reserve in Kenya as an example, and use the advantages of A* algorithm to solve the shortest route with fast response time to environmental characteristics, direct search path, and strong scalability, and propose a construction plan to improve the tourism carrying capacity of Maasai Mara and minimize environmental impact from the long-term perspective of Maasai Mara tourism development, and compare with the original route to verify the superiority of this method. Based on the poor construction of basic roads and the unsuitable distribution of roads for new development, the objectives of the new road plan are to (i) enrich the tourist experience and enhance the participation of indigenous people in the tourism development process; (ii) reduce the damage to vegetation by the roads; (iii) keep the roads away from water sources; and (iv) keep the roads away from wildlife gathering areas. Based on these four objectives, we obtained a new path that not only ensures minimal damage to nature but also provides a link between tourists and indigenous people to promote tourism development.

Citation Download Citation

Yingying Gu and Jikang Jiang "A* algorithm based road planning for nature reserves: taking the Maasai Mara National Reserve as an example", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127564Q (28 July 2023); https://doi.org/10.1117/12.2685903

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KEYWORDS

Roads

Vegetation

Raster graphics

Animals

Biodiversity

Algorithm development

Mathematical optimization

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