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An Agent-based Model of Surplus Food Rescue Using Crowd-shipping

机译:使用人群运输的基于代理的剩余食物救援模型

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As climate change approaches a point of irreversibility, it is becoming increasingly important to find ways of preventing food waste from reaching landfills and emitting greenhouse gases. Food rescue programs offer a means of simultaneously diverting surplus food from landfills and addressing food insecurity. Recently, some food rescue organizations in the U.S. have begun leveraging crowd-shipping to more efficiently transport surplus food from donors to food-insecure recipients. However, the success of such initiatives relies on achieving a critical mass of donor and crowd-shipper participation. This paper describes a conceptual agent-based model that was developed to evaluate the design parameters of a volunteer-based crowd-shipping system for food rescue. Preliminary experimental results demonstrate the importance of generating sufficient awareness and commitment among potential volunteers in the early stages of the program’s development to ensure consistent participation and service.
机译:随着气候变化接近一种不可逆转的点,寻找防止食物垃圾到达垃圾填埋场并发出温室气体的方法变得越来越重要。食品救援计划提供了一种同时从垃圾填埋场转移剩余食物并解决食物不安全的方法。最近,美国的一些粮食救援组织已开始利用人群运输,以便将捐助者从捐助者提供额外的食物不安全的接受者。然而,这些举措的成功依赖于实现临时捐助者和人群参与。本文介绍了一种基于代理的模型,该模型是为评估基于志愿者的人群运输系统的设计参数而开发的用于食物救援。初步实验结果表明,在计划开发的早期阶段在潜在的志愿者中产生了足够的认识和承诺,以确保一致的参与和服务。

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