Related Experiment Video
Updated: Aug 5, 2025
05:50
Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
Published on: January 16, 2020
5.9K
How regularly do people visit service places?
Shiran Zhong1,2,3, Ling Bian1
1Department of Geography, University at Buffalo, the State University of New York, 105 Wilkeson Quad, Buffalo, NY 14261, USA.
Computers, Environment and Urban Systems
|March 27, 2023
Summary
This study reveals that visits to service places exhibit both regular and irregular patterns. Place type significantly influences the stability of these recurring mobile behaviors, impacting health risk assessments.
Area of Science:
- Computational Social Science
- Human Mobility Patterns
- Epidemiology
Background:
- Mobile behaviors, particularly regular commutes, are studied for health risks.
- Less regular mobile behaviors, like service place visits, are under-investigated.
- Understanding visit regularity is crucial for comprehensive health risk analysis.
Purpose of the Study:
- To explore the regularity of visits to service places.
- To assess the impact of service place type on visit stability.
- To enhance understanding of mobile behavior patterns and associated health risks.
Main Methods:
- Deep learning techniques were employed to analyze visit regularity.
- Entropy assessment was used to evaluate the stability of recurring visits.
- Analysis focused on mobile data from service place visits.
Main Results:
- Service place visits demonstrate both periodic (weekly, bi-weekly) and bursty (multi-day) behaviors.
- The type of service place significantly affects the stability of recurring visits.
- Specific place types showed the most pronounced effects on visit stability.
Conclusions:
- Mobile behavior to service places is characterized by diverse temporal patterns.
- Place type is a critical factor influencing the predictability of recurring visits.
- Findings contribute to understanding visitor- and place-based health risks.
Related Concept Videos
01:14Relative Frequency Histogram
5.6K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
5.6K
01:08The Availability Heuristic
6.1K
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):
6.1K
00:57Percentage Frequency Distribution
58.8K
A percentage frequency distribution, in general, is a display of data that indicates the percentage of observations for each data point or grouping of data points. It is a commonly used method for expressing the relative frequency of survey responses and other data. The percentage frequency distributions are often displayed as bar graphs, pie charts, or tables.
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
58.8K
01:19Expected Frequencies in Goodness-of-Fit Tests
2.6K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
2.6K
01:04Cumulative Frequency Distribution
7.0K
A cumulative frequency distribution is another type of frequency distribution. Instead of reporting how many data values fall in some classes, it reports how many data values are contained in either that class or any class to its left. Technically, it means the sum of frequencies of the class and all the classes below it in a frequency distribution. A cumulative frequency is calculated by adding the frequency of each class lower than the corresponding class interval or category. In general, a...
7.0K
00:51What is a Frequency Distribution
21.0K
A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...
21.0K