SCC-CIVIC-PG Track B: A tourism decision support system for Western gateway and natural amenity region communities

整个美国西部的门户和自然舒适区（GNAR）正面临着一系列前所未有的挑战，威胁着他们的经济，居民的福祉以及涌向这些地区进行娱乐和复兴的游客的健康。最近，COVID-19大流行导致门户社区领导人对游客传播病毒、伤害当地居民以及压倒这些社区有限的医疗资源的严重担忧。由于当地经济依赖于户外休闲者和游客的流动，这些流动的中断可能对GNAR的社区产生直接的灾难性后果。该项目的研究团队汇集了来自社会和空间科学的专业知识，能够改变美国西部GNAR社区计划和应对自然灾害和危机事件（如COVID-19大流行）造成的游客流量中断的方式。其愿景是开发旅游流量预测模型和相应的决策支持系统，GNAR社区可用于探索和通报地方政策决定。该项目将把公开的流动数据纳入互动式旅游规划和管理工具，迅速提高GNAR社区在自然灾害和危机事件期间规划和管理旅游业时使用这些数据的能力。通过利用一个成熟的研究团队，该团队具有整合不同数据集的经验，可以量化大地理范围内旅游流量的数量和空间分布，该项目的数据和模型已准备好在整个圣胡安县的GNAR社区进行试点，犹他州-纳瓦霍部落土地和十几个小社区的家园，这些社区严重依赖旅游业。通过利用包容性的参与方法，该项目是一个基于网络的决策支持系统，将为通过智能和互联技术共同产生知识和理解的效力带来新的见解。该项目还将促进我们对使用免费和开源网络制图方法进行有效数据可视化的理解;这些见解可用于改善在自然灾害和其他危机事件对当地经济的复杂反馈背景下公民参与的方法。该奖项反映了NSF的法定使命，并被认为是值得的通过使用基金会的知识价值和更广泛的影响审查标准进行评估，

Gateway and natural amenity regions (GNAR) throughout the Western U.S. are facing a number of unprecedented challenges that threaten their economies, the wellbeing of their residents, and the health of tourists who flock to these areas for recreation and rejuvenation. Most recently, the COVID-19 pandemic has led to virulent concerns amongst gateway community leaders about tourists spreading the virus, harming local residents, and overwhelming these communities’ limited healthcare resources. With local economies that depend on the flow of outdoor recreationists and tourists, the disruption of those flows can have immediate and disastrous consequences for communities in GNARs. This project's research team brings together expertise from the social and spatial sciences capable of transforming the way GNAR communities across the Western U.S. plan for and respond to interruptions in the flow of tourists brought about by natural disasters and crisis events like the COVID-19 pandemic. The vision is to develop predictive models of tourism flows and a respective decision support system that GNAR communities can use to explore and inform local policy decisions. This project will be integrating publicly available mobility data into an interactive tourism planning and management tool, rapidly accelerating the ability of these data to be used by GNAR communities in their efforts to plan for and manage tourism during natural disasters and crisis events. By leveraging an established research team with demonstrated experience integrating disparate datasets to quantify the volume and spatial distribution of tourism flows across large geographic scales, this project's data and models are ready to be piloted with willing GNAR communities throughout San Juan County, Utah – home to Navajo tribal lands and over a dozen small communities which are heavily reliant on tourism.By utilizing an inclusive engagement approach to develop a web-based decision support system, this project will bring new insights into the efficacy of co-producing knowledge and understanding through smart and connected technologies. The project will also advance our understanding of effective data visualization using free and open source web mapping approaches; and provide new knowledge on resilience indicators for GNARs throughout the Western U.S. These insights can be used to improve approaches to civic engagement in the context of complex feedbacks from natural hazards and other crisis events on local economies.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.