相关实验视频

Updated: Jul 27, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

COVID-19和校园用户:德克萨斯州大学流动性的纵向和基于地点的研究

Yang Song¹, Chanam Lee¹, Zhihan Tao¹

¹Department of Landscape Architecture and Urban Planning, Texas A&M University, United States.

Sustainable cities and society

|June 8, 2023

概括

随着COVID-19的流行,大学校园的访问量大幅减少,特别是那些住在附近的人. 食品,娱乐和体育场馆的参观人数下降幅度最大.

科学领域:

公共卫生公共卫生
城市规划城市规划
流动性研究流动性研究

背景情况:

COVID-19 疫情改变了日常生活,包括旅行和社交行为.
对高等教育校园目的地使用 (图书馆,餐厅,体育设施) 的影响在很大程度上未得到量化.

研究的目的:

为了比较德克萨斯大学在COVID-19爆发之前和之后的校园目的地访问.
检查步行距离和绿色如何影响COVID后的校园参观模式.

主要方法:

利用SafeGraph的2019年秋季 (疫情爆发前) 和2021年秋季 (疫情爆发后) 的移动数据.
专注于德克萨斯州的三个主要大学:德克萨斯A&M,UT奥斯和德克萨斯理工大学.
分析了1公里可步行距离和NDVI (绿地标准化差异植被指数) 的适度效应.

主要成果:

COVID-19显著减少了访问各种校园目的地的次数.
对于在校园1公里步行距离内的个人来说,访问量下降得更快.
食物/饮食/体育/娱乐/观光场所的访问量下降最为显著.
绿色水平并没有显著缓解COVID后的校园参观趋势.

结论:

居住在校园附近的个人,主要是学生,减少了他们对校园设施的依赖,以便在流行后用餐和娱乐.
研究结果表明,需要在高等教育机构修订校园健康和城市规划策略.
移动数据分析为公共卫生危机期间的行为转变提供了有价值的见解.

关键词:

大数据就是大数据.在COVID-19大流行中,校园健康校园健康高等教育高等教育地方流动性

更多相关视频

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

相关概念视频

Longitudinal Studies

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

Cross-Sectional Research

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...