Research and effect analysis of the collaborative role of mobile technology and intelligent management on rural tourism from biomechanical and molecular perspectives

This research adopts a scientific perspective based on biomechanics and molecular-level analysis to explore the synergistic mechanisms and implementation effects of mobile technology and intelligent management systems in rural tourism. The study constructs a three-dimensional “technology-human-environment” framework, employing mixed research methods and a multi-case research strategy to conduct experiments at eight different types of rural tourism destinations across three representative provinces in China, recruiting 458 effective sample participants who wore lightweight wearable motion capture systems and other multimodal biomechanical data collection devices, while simultaneously testing the “BioPark” mobile application and “SmartRural” intelligent management system in coordination. The findings reveal that tourists exhibit significantly different biomechanical characteristics and molecular physiological indicator patterns in various terrain environments, such as knee joint maximum torque being significantly higher on steep slopes than on flat ground (1.64 ± 0.27 vs. 0.87 ± 0.16 Nm/kg, p < 0.001), and cortisol/endorphin ratio showing a strong negative correlation with satisfaction (r = −0.72, p < 0.001). Mobile technology primarily influences experience through three pathways: information enhancement, experience optimization, and interaction enhancement, while the intelligent management system improves decision-making accuracy by 48.3% and resource allocation efficiency by 28.3%. The synergistic effect of the systems produces results exceeding the simple addition of individual systems through three mechanisms: data sharing (path coefficient 0.73), functional complementarity (0.68), and information feedback (0.61), resulting in increased overall tourist satisfaction by 28.1% (p < 0.001), extended stay duration by 36.4% (p < 0.001), and improved actual revisit rates by 77.8% (p < 0.01). Based on these results, the study proposes “physiologically friendly” rural tourism spatial design principles and technology-management collaborative optimization strategies, establishing a biological data-driven service closed-loop system that provides theoretical support and technical solutions for the scientific development of rural tourism, while also discussing research limitations and future development trends.