INFEWS/T3: Reducing Household Food, Energy and Water Consumption: A Quantitative Analysis of Interventions and Impacts of Conservation

项目负责人姓名：David watkins提案号：1639342标题：inws /T3：减少家庭食物、能源和水的消耗：干预措施和保护影响的定量分析机构：密歇根理工大学美国家庭行动的变化有可能通过减少食物、能源和水（FEW）的消耗来降低温室气体（GHG）排放和气候变化的速度。该项目将确定减少家庭FEW消费的潜在干预措施，在两个社区的参与家庭中测试各种选择，并收集数据以开发新的环境影响模型。它还将确定家庭消费行为和具有成本效益的干预措施，以减少少数资源的使用。研究成果可用于提高家庭层面个人的福祉，改善少数资源安全，减少气候相关风险，提高美国的经济竞争力。该项目将从代表性不足的群体中招募、培训和毕业20多名学生和早期职业科学家。学生将有资格参加交换项目，与荷兰的合作者进行跨学科研究。荷兰是一个高度工业化的国家，人均能源和水的使用量比美国低20%。本研究采用跨学科的方法来研究减少家庭FEW消耗和相关的直接和间接环境影响的方法，包括温室气体排放和水资源枯竭。方法包括：1)互动角色扮演活动和对房主的定性访谈；2)对家庭进行调查，以检查与FEW消费有关的现有态度和行为，以及减少消费的可能方法和障碍；3)在两个案例研究社区的居民家庭中进行实验研究，这些案例研究社区被选为美国郊区家庭的代表，适合进行比较实验。这些研究将反复审查减少家庭少数资源消费的方法，测试可能的干预策略，并为开发系统模型提供数据，以量化家庭少数资源流动和排放的影响。本文将建立一个基于消费的生命周期评估（LCA）模型，为家庭决策和干预策略的设计提供准确的信息。LCA模型将包括第一个已知的从农场到餐桌的家庭食品消费影响的代表，食物浪费和取水的空间明确清单，以及电力部门多层次价格响应模型。通过翻译少数消费影响，结果将确定减少生态足迹的“热点”和具有成本效益的家庭干预措施。在LCA模型中应用一组气候和技术情景，将提供关于采用技术为决策提供信息的潜在好处的额外见解。本研究开发的环境影响模型、家庭消费跟踪工具和角色扮演软件将是通用的，并在项目结束时公开提供，以便为未来的教育、研究和推广活动提供信息。

PI Name: David WatkinsProposal Number: 1639342Title: INFEWS/T3: Reducing Household Food, Energy, and Water Consumption: A Quantitative Analysis of Interventions and Impacts of ConservationInstitution: Michigan Technological UniversityChanges in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.