中山間地域における除雪行動の空間構造分析：住民協働型シミュレーションの計画論的意義

抄録

This study aims to explore the spatial dynamics of snow removal activities and provide insights for collaborative planning by developing a simulation model co-designed by community residents and researchers. Focusing on the rural community of Kutsuki in Takashima City, Japan, the simulation incorporates network automata to model snow removal behaviors through self-help, mutual assistance, and public support. The model structure is based on a network of roads, houses, and residents, with key parameters̶such as age-based snow removal capacity, mutual assistance range, and snow accumulation thresholds̶defined in reference to residents’ experiences through workshops and interviews. The simulation reveals that public support not only directly reduces snow accumulation but also indirectly stimulates self-help and mutual assistance in surrounding areas̶a phenomenon referred to as the “diffusion effect.” Furthermore, the spread and stability of mutual assistance actions are significantly influenced by underlying network structures. The collaborative construction of the model functioned as a platform for residents to rediscover structural challenges in snow removal and promoted shared understanding. This approach demonstrates the potential of simulation as a practical tool for collaborative planning and provides implications for participatory methods in Evidence-Based Policy Making (EBPM), particularly in facilitating deliberation during the planning stage.