CAREER: Modeling Movement and Behavior Responses to Environmental Disruptions

职业：模拟对环境破坏的运动和行为反应

• 批准号: 2043202
• 负责人: Somayeh Dodge
• 金额: $ 46.55万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-15 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2043202&HistoricalAwards=false
• 关键词: CAREER; Modeling; Movement; Behavior; Responses

This project is about analyzing the effects of significant environmental disruptions on peoples’ behavior across different geographic and temporal scales. Using movement as a positional marker, this project will provide data-driven results about the consequences of environmental change caused by disruptive events such as wildfire outbreaks, pandemics, and human-wildlife conflict situations. Intentional movement is an important trait shared among humans and animals and is a fundamental actor in the dynamics of geographical environments. This research will enable scientists to model behavioral adaptation caused by disruptive events. The transdisciplinary methods developed in this study are generalizable to understanding adaptation in both social and ecological systems, contributing new knowledge about spatial behavior of humans and keystone species. The project's educational initiatives will raise geography awareness and advance spatiotemporal thinking and will broaden participation of college students and educators in STEM education and research.Despite the advances in tracking technologies, there still exists limited in our understanding of the mechanisms governing movement patterns. This interdisciplinary project will transform research and education in geographic information science by integrating information on both spatial and temporal change using computational movement analytics. This study will investigate three core research questions: 1) Are individuals’ movement and behavior driven by their environment, and how do these relationships vary across spatial scales? 2) How can data science better capture movement patterns that reflect change in behavior? 3) How can movement be used as a proxy to understand and predict the behavioral adaptation of individuals caused by disruptive events? This project will create potentially transformative computational approaches for machine learning, modeling, and simulation of spatial behavior in environmental disruptions that includes wildfire, COVID-19 pandemic, and human interaction with endangered species. The first two studies focus on human movement responses and adaptation to short- and long- term environmental changes, while the latter evaluates resilience in an environment experiencing gradual land-use change.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.

这个项目是关于分析重大环境破坏对不同地理和时间尺度上人们行为的影响。使用运动作为位置标记，该项目将提供有关破坏性事件（如野火爆发，流行病和人类与野生动物冲突情况）造成的环境变化后果的数据驱动结果。有意运动是人类和动物共有的一个重要特征，是地理环境动力学的一个基本因素。这项研究将使科学家能够模拟破坏性事件引起的行为适应。本研究所发展的跨学科方法可推广到理解社会和生态系统中的适应，为人类和关键物种的空间行为提供新的知识。该项目的教育举措将提高地理意识和推进时空思维，并将扩大大学生和教育工作者对STEM教育和研究的参与。尽管跟踪技术取得了进展，但我们对运动模式的机制的理解仍然有限。这个跨学科的项目将通过使用计算运动分析整合空间和时间变化的信息来改变地理信息科学的研究和教育。本研究将探讨三个核心研究问题：1）个体的运动和行为是否受其环境的驱动，以及这些关系如何在空间尺度上变化？ 2)数据科学如何更好地捕捉反映行为变化的运动模式？3)运动如何被用作理解和预测个体由破坏性事件引起的行为适应的代理？该项目将为机器学习，建模和模拟环境破坏中的空间行为创造潜在的变革性计算方法，包括野火，COVID-19大流行以及人类与濒危物种的互动。前两项研究侧重于人类运动的反应和适应短期和长期的环境变化，而后者评估在经历逐步土地利用变化的环境中的恢复力。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

Understanding the impact of temporal scale on human movement analytics

• DOI: 10.1007/s10109-021-00370-6
• 发表时间: 2022-02
• 期刊: Journal of Geographical Systems
• 影响因子: 2.9
• 作者: Rongxiang Su;S. Dodge;K. Goulias

Assessing COVID-induced changes in spatiotemporal structure of mobility in the United States in 2020: a multi-source analytical framework

• DOI: 10.1080/13658816.2021.2005796
• 发表时间: 2021-12-20
• 期刊: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
• 影响因子: 5.7
• 作者: Noi, Evgeny;Rudolph, Alexander;Dodge, Somayeh
• 通讯作者: Dodge, Somayeh

Leibniz International Proceedings in Informatics (LIPIcs):12th International Conference on Geographic Information Science (GIScience 2023)

莱布尼茨国际信息学会议录 (LIPIcs)：第十二届地理信息科学国际会议 (GIScience 2023)

• DOI: 10.4230/lipics.giscience.2023.57
• 发表时间: 2023
• 期刊: the 12th International Conference on Geographic Information Science (GIScience 2023
• 作者: Noi, Evgeny;Dodge, Somayeh
• 通讯作者: Dodge, Somayeh

A novel method for mapping spatiotemporal structure of mobility patterns during the COVID-19 pandemic

一种绘制 COVID-19 大流行期间流动模式时空结构的新方法

• DOI: 10.25436/e2wc7b
• 发表时间: 2021
• 期刊: GIScience 2021 Short Paper Proceedings
• 作者: Noi, Evgeny;Rudolph, Alexander;Dodge, Somayeh
• 通讯作者: Dodge, Somayeh

Developing a social sensing index for monitoring place-oriented mental health issues using social media (twitter) data

• DOI: 10.1007/s44212-023-00033-5
• 发表时间: 2024-01
• 期刊: Urban Inform.
• 作者: Jaehee Park;Ming-Hsiang Tsou;A. Nara;Susan Cassels;Somayeh Dodge