Build a reception and escort staffing model using projected demand of [AvgDailyVisitors] and peak period [PeakHourRange], with [Desks] service points during [OperatingHours] and seasonal factor [SeasonalVariation]. Target service level [ServiceLevel] (e.g., 80% verified ≤3 minutes). Output format: (1) Assumptions table (arrival patterns, handle times, no-show rate, escort travel time). (2) Demand forecast by 30-minute interval for 8 weeks. (3) Staffing calculator (queueing approximation/Erlang-C) with required FTE and buffer for variability. (4) Weekly roster template (roles, skills, cross-coverage, breaks). (5) Escort dispatch playbook (prioritization, radio codes, fallback). (6) Sensitivity analysis (±10% volume, +15% handle time). Provide clear formulas for planners to adjust and scenario-test.