Economic Analysis of Sports Facilities - Quantitative Analysis of Impact on Regional Economy Using People Flow and Payment Big Data

Overview

This article quantitatively analyzes the impact of sports facilities on regional economies using people flow and payment big data. ## Main Points ### 1. Analysis Method and Data - Target facilities: 20 J-League stadiums, 12 professional baseball stadiums - Data sources: Mobile location information (100 million devices), payment data - Analysis period: 2023 season (game days vs. non-game days) - Trade area setting: Detailed analysis within 5km radius of facilities ### 2. Visitor Behavior Patterns - Average stay time: 4.8 hours before and after games (excluding game time) - Visit rate: Restaurants 65%, retail stores 35%, accommodation 15% - Travel distance: Average 32km (wide-area attraction) - Repeat rate: Average 4.2 visits per season ### 3. Economic Ripple Effects - Direct consumption: 280 million yen per game - Ripple effect: 1.7 times direct consumption (480 million yen) - Annual effect: 15 billion yen scale for J1 clubs - Job creation: 2,500 people per facility ### 4. Regional and Facility Characteristics - Urban type: Centered on dining/entertainment consumption (8,500 yen per customer) - Suburban type: Product sales/parking revenue (5,200 yen per customer) - Complex type: Synergy with commercial facilities (+40%) - New facility effect: Land prices increase 5-8% within 3 years of opening ### 5. Success Factors and Challenges - Transportation: +25% for public transport users - Facility attractiveness: Wi-Fi, cashless payment essential - Regional cooperation: +30% sales with joint activities with shopping districts - Challenge: 35% utilization rate on weekdays/off-season The article concludes that regional revitalization centered on sports facilities has great potential, but improving year-round utilization rates and strengthening regional cooperation are keys to success.