Global Food Twin

The Global Food Twin is a data-driven model that estimates the most likely transportation routes for food flows between producing and consuming regions worldwide. By combining food balance sheets, production maps, trade data, transportation networks, and optimization algorithms, we've created the first global estimates of how food moves across the globe—from producing to consuming regions—accounting for the complex multi-modal transportation systems. You can learn more about how the data behind the app was developed on our GitHub. Key capabilities: -Comprehensive coverage: 82 food groups across 3,787 subnational administrative regions globally -Multi-modal transport: Maritime, land-based (rail, road, inland waterway), and combined transportation routes -Detailed routing: Actual geospatial routes including specific ports, rail lines, and road networks全球食品孪生（Global Food Twin）是一款数据驱动模型，旨在估算全球各食品产区与消费区间食品流动的最可能运输路径。本模型整合食品平衡表、生产地图、贸易数据、运输网络与优化算法，构建了全球首个覆盖全球食品从产区至消费区全流程的运输路径估算体系，并充分考量了复杂的多式联运运输系统。用户可通过我们的GitHub平台详细了解该应用所依托的数据开发细节。 核心能力如下： - 覆盖范围全面：涵盖全球3787个次国家级行政区域的82个食品品类 - 多式联运运输：支持海运、陆运（铁路、公路、内河航道）及联合运输路径 - 精细化路径规划：提供包含具体港口、铁路线路与公路路网的实际地理空间路径