Spatial Explanation and Planning for Resilience of Community-Based Small Businesses to Environmental Shocks

基于社区的小型企业对环境冲击的抵御能力的空间解释和规划

• 批准号: 2316450
• 负责人: Yan Wang
• 金额: $ 45.67万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2316450&HistoricalAwards=false
• 关键词: Spatial; Explanation; Planning; Resilience; Community

The project aims to study how community-based small businesses (CSB) adapt to environmental shocks and promote economic growth in a changing climate, with research being completed through a spatially based planning lens. By bringing together knowledge and theories from socio-ecological systems, community economic development, and human behaviors, the research has the potential to generate valuable insights and methods for supporting CSB climate adaptation at various levels. While playing a vital role in creating vibrant communities, improving quality of life, and fostering workforce diversity, CSB are highly vulnerable to environmental shocks. The research and engagement activities lay the scientific foundation for creating more diverse and equitable environments and enabling local communities to develop strategies and policies for building resilience. Additionally, the project provides rich learning opportunities for students, business owners, practitioners, and policymakers.Community-based small businesses (CSB) must maintain and grow their customer base over time. However, their risk to environmental shocks has been underestimated when their location, land use, and infrastructure support are not carefully considered or well coordinated. The project aims to gain a quantitative, systematic, and generalized understanding of how specific characteristics of CSB locations and other spatial factors in their communities contribute to customer demand patterns and overall resilience. The research team leverages new and large datasets to develop a theory-guided framework that incorporates artificial intelligence to assist in spatial planning. This framework is designed to anticipate short-term resilience and evaluate long-term adaptation measures for CSB. While the initial focus is on coastal communities in the US Southeast affected by flooding, developed methods could be broadly applied to other natural disaster types and in other regions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在研究基于社区的小型企业（CSB）如何适应环境冲击并在不断变化的气候下促进经济增长，研究通过空间的计划镜头完成。通过将社会生态系统，社区经济发展和人类行为的知识和理论汇总在一起，该研究有可能产生有价值的见解和方法，以支持CSB气候适应的各个层面。 CSB在创建充满活力的社区，改善生活质量并促进劳动力多样性方面发挥着至关重要的作用，非常容易受到环境冲击的影响。研究和参与活动为创造更多样化和公平的环境而奠定了科学基础，并使当地社区能够制定建筑弹性的战略和政策。此外，该项目为学生，企业主，从业者和决策者提供丰富的学习机会。基于社区的小型企业（CSB）必须随着时间的推移维护和发展其客户群。但是，当未仔细考虑或协调良好的位置，土地使用和基础设施支持时，它们对环境冲击的风险被低估了。该项目旨在对CSB位置的特定特征和社区中其他空间因素的特定特征有助于客户需求模式和整体弹性有助于获得定量，系统和广泛的了解。研究团队利用新的和大型数据集开发一个理论引导的框架，该框架结合了人工智能以协助空间计划。该框架旨在预测短期的韧性并评估CSB的长期适应措施。虽然最初的重点是在美国东南部受洪水影响的沿海社区，但开发的方法可以广泛应用于其他自然灾害类型和其他地区。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来进行评估的。