Household food waste collection: Building service networks through neighborhood expansion
Household food waste collection: Building service networks through neighborhood expansion
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家庭食物垃圾收集：通过社区扩张建立服务网络
DOI：
10.1016/j.wasman.2018.04.012
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发表时间：
2018
期刊：
影响因子：
8.1
通讯作者：
Chen, Roger B.
中科院分区：
文献类型：
--
作者：
Armington, William R.;Chen, Roger B.
在本文中，我们开发了一个住宅食物垃圾收集分析和建模框架，该框架捕获了服务提供商在提供服务的初始阶段所面临的运输成本。通过这个框架和模型，我们可以深入了解网络运输成本，并调查这些组织可能面临的服务扩展场景。我们使用开发的启发式方法解决了针对住宅区环境制定的车辆路径问题（VRP）。所考虑的场景遵循这样一种叙述：服务提供商从最初的邻里或社区开始，然后扩展到其他社区及其家庭。结果表明，增加家庭参与度可以减少每个家庭的出行时间和成本，直至达到临界阈值，超过该阈值，我们会看到边际时间和成本的改善。此外，结果表明，根据合并社区的家庭密度，扩张情景中的结果会有所不同。随着家庭参与度和密度的增加，每个家庭在网络中的出行时间会减少。然而，每平方公里大约有 10-20 个家庭，每个家庭出行时间的减少是微乎其微的，这表明家庭密度阈值较低。最后，我们在食物垃圾收集中表明，无论节点和链路的数量如何，网络在旅行时间和成本方面都具有共同的规模效应。
In this paper we develop a residential food waste collection analysis and modeling framework that captures transportation costs faced by service providers in their initial stages of service provision. With this framework and model, we gain insights into network transportation costs and investigate possible service expansion scenarios faced by these organizations. We solve a vehicle routing problem (VRP) formulated for the residential neighborhood context using a heuristic approach developed. The scenarios considered follow a narrative where service providers start with an initial neighborhood or community and expands to incorporate other communities and their households. The results indicate that increasing household participation, decreases the travel time and cost per household, up to a critical threshold, beyond which we see marginal time and cost improvements. Additionally, the results indicate different outcomes in expansion scenarios depending on the household density of incorporated neighborhoods. As household participation and density increases, the travel time per household in the network decreases. However, at approximately 10–20 households per km2, the decrease in travel time per household is marginal, suggesting a lowerbound household density threshold. Finally, we show in food waste collection, networks share common scaling effects with respect to travel time and costs, regardless of the number of nodes and links.