This research presents a novel strategy to enhance ecotourism in Yucatán’s national parks by integrating electric scooters with solar energy systems, focusing on Los Petenes National Park, noted for its biodiversity and ecological significance. The study identifies 27 recreational activities within the park and proposes an optimization model aimed at improving tourist mobility, particularly for visitors unaccustomed to the region’s high temperatures. This system not only reduces the risk of heat-related illnesses but also enhances the overall visitor experience through a convenient and sustainable transportation option. Utilizing Dijkstra’s algorithm, a graph of the park’s key recreational points was constructed to optimize tourist routes, minimizing waiting times and unnecessary travel. To select the most suitable electric scooter for these optimized routes, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied, evaluating multiple criteria such as performance, user experience, and sustainability. The GoTrax GXL V2 scooter was identified as the optimal choice, aligning with both operational requirements and visitor preferences. The integration of a photovoltaic system ensures that the energy demands of the scooter fleet are met through renewable sources, significantly reducing carbon emissions and operational costs. This renewable energy component directly supports the optimized transportation system, reinforcing the park’s commitment to environmental conservation. The proposed model not only enhances the overall visitor experience by providing a convenient and sustainable transportation option but also contributes to the local economy by fostering economic opportunities in the region. The study offers a scalable and adaptable approach for other parks and tourist destinations seeking to implement eco-friendly technologies and sustainable practices in their operations.

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Electric Scooters and Renewable Energy Integration Associated with Tourist Parks: A Dijkstra-Based Model for Smart Mobility Optimization

  • Gilberto Espadas-Baños,
  • César Quej-Solís,
  • Manuel Flota-Bañuelos,
  • Alberto Ochoa-Zezzatti

摘要

This research presents a novel strategy to enhance ecotourism in Yucatán’s national parks by integrating electric scooters with solar energy systems, focusing on Los Petenes National Park, noted for its biodiversity and ecological significance. The study identifies 27 recreational activities within the park and proposes an optimization model aimed at improving tourist mobility, particularly for visitors unaccustomed to the region’s high temperatures. This system not only reduces the risk of heat-related illnesses but also enhances the overall visitor experience through a convenient and sustainable transportation option. Utilizing Dijkstra’s algorithm, a graph of the park’s key recreational points was constructed to optimize tourist routes, minimizing waiting times and unnecessary travel. To select the most suitable electric scooter for these optimized routes, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied, evaluating multiple criteria such as performance, user experience, and sustainability. The GoTrax GXL V2 scooter was identified as the optimal choice, aligning with both operational requirements and visitor preferences. The integration of a photovoltaic system ensures that the energy demands of the scooter fleet are met through renewable sources, significantly reducing carbon emissions and operational costs. This renewable energy component directly supports the optimized transportation system, reinforcing the park’s commitment to environmental conservation. The proposed model not only enhances the overall visitor experience by providing a convenient and sustainable transportation option but also contributes to the local economy by fostering economic opportunities in the region. The study offers a scalable and adaptable approach for other parks and tourist destinations seeking to implement eco-friendly technologies and sustainable practices in their operations.