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Water pollution generated by tourism: Review of system dynamics models

Heliyon 2023 59 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Martina Pašková, Kamila Štekerová, Marek Zanker, Taiwo Temitope Lasisi, Josef Zelenka

Summary

This systematic review used system dynamics modeling to analyze how tourism contributes to water pollution, particularly from plastics. The study developed a framework connecting economic and environmental factors driving tourism-related contamination of water ecosystems. The findings emphasize that integrated strategies combining environmental education, sustainable management practices, and proactive policy planning are essential for reducing tourism-induced water pollution.

This study delves into the intricate dynamics of tourism-induced water pollution through a systematic literature review, aiming to unravel complexities using a system dynamics (SD) modeling approach coupled with the PRISMA analysis methodology. Employing a comprehensive PRISMA analysis of 68 pertinent articles, the study establishes a metamodel for comprehending plastic pollution in water ecosystems resulting from tourism. The methodology emphasizes economic and environmental dimensions, causal conditions, and interventions, with a specific focus on the role of Information and Communication Technology (ICT). The results highlight integrated strategies as crucial in mitigating tourism-induced water pollution. These strategies advocate for the incorporation of environmental conservation and sustainable management practices. The study underlines the pivotal role of environmental education, awareness, and investments in protection as effective interventions. The findings offer valuable insights for policymakers and stakeholders in the tourism industry, emphasizing the necessity for proactive planning and management. The study advocates for knowledge-based decision-making to optimize tourism's environmental impacts and underscores the significance of quick and flexible responses to environmental challenges.

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