Uneven access to essential services and amenities: Geographic disparities in 'third place' availability across the United States from 2010 to 2021
View abstract on PubMed
Summary
This summary is machine-generated.Community gathering spots, known as third places, are closing, especially in vulnerable and rural areas. This decline exacerbates socioeconomic and health disparities, necessitating targeted interventions for equitable access.
Area Of Science
- Sociology
- Urban Planning
- Public Health
Background
- Third places are essential community hubs fostering social cohesion and health.
- Uneven distribution and recent closures may worsen socio-geographic disparities.
- Understanding changes in third place availability is crucial for community well-being.
Purpose Of The Study
- To investigate changes in the availability of 12 types of third places across the U.S. from 2010 to 2021.
- To assess disparities in third place availability based on socio-demographic factors and geographic location.
- To identify trends and inform policies for equitable community resource distribution.
Main Methods
- Utilized Census tract-level data from the National Establishment Time-Series Database (2010-2021).
- Analyzed changes across 12 categories of third places (e.g., libraries, restaurants, coffee shops).
- Employed generalized additive mixed models to assess variations by race/ethnicity, education, and rural-urban status.
Main Results
- All analyzed third place categories experienced widespread closures between 2019 and 2021.
- Declines in third place availability were most severe in Census tracts with high social vulnerability and in rural areas.
- Significant geographic variations and ongoing changes in third place distribution were observed.
Conclusions
- Widespread closures of third places disproportionately affect socially vulnerable and rural populations.
- Addressing disparities in third place access is vital for socioeconomic opportunity and health equity.
- Targeted policies are needed to ensure equitable access to community resources and support underserved areas.
Related Concept Videos
Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
When one is faced with too much information
When the time to make a decision is limited
When the decision to be made is unimportant
When there is access to very...

