recreation-priority

Prioritize post-fire trail repairs by computing usage, access, and cost-effectiveness scores for each trail to generate a ranked repair plan with clear rationale. This multi-factor scoring approach optimizes resource allocation and reopens critical recreation routes based on data.

Identify quick wins for trail repair budgets by surfacing low-cost, high-impact reopenings that maximize public benefit. The prioritization process evaluates cost-effectiveness alongside usage and access to highlight projects that deliver immediate recreational value.

Multi-factor scoring for trail recovery works by combining usage, access, and cost-effectiveness scores into a deterministic ranking. This method produces an actionable, budget-aware repair plan that supports scheduling and resource allocation decisions for affected trail networks.

Yes, you can generate a budget-aware allocation plan for trail network repairs by integrating cost-effectiveness scores with usage and access data. This produces a ranked repair plan that aligns project prioritization with available funding and scheduling constraints.

Yes, you need the fire_utils dependency to run trail repair prioritization. This utility provides the necessary data handling framework to process post-fire incident inputs and compute the usage, access, and cost-effectiveness scores required for the ranked repair plan.

Use automated trail repair ranking when managing trail networks affected by wildfires and similar incidents where optimizing resource allocation is critical. It replaces manual prioritization by providing deterministic, multi-factor scoring and budget-aware allocation for data-backed recovery.