Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Levels of Use of a GIS01:29

Levels of Use of a GIS

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...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Impact of Social Context on Individuals01:21

Impact of Social Context on Individuals

Social psychology examines how the real or imagined presence of others influences individuals' thoughts, feelings, and behaviors. A key concept in this field is the role of social context in shaping behavior. The same individual may act differently depending on the social setting, due to the varying expectations and norms associated with each environment. This context-dependent behavior illustrates the influence of social roles, which prescribe appropriate conduct in specific situations.Social...
Cross-Sectional Research01:50

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...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Censoring Population Health Science: Death by a Thousand Cuts.

Journal of urban health : bulletin of the New York Academy of Medicine·2026
Same author

Hypertension among Guatemalan women: the role of food insecurity and overweight/obesity.

Frontiers in nutrition·2026
Same author

Research opportunities to advance cardiovascular health through a planetary health lens.

American journal of preventive cardiology·2026
Same author

Exploring community connections: neighborhood amenities and loneliness among Chinese immigrants.

BMC public health·2026
Same author

Midlife exposure to neighborhood greenness and later-life cognitive decline: The Multi-Ethnic Study of Atherosclerosis.

Social psychiatry and psychiatric epidemiology·2026
Same author

Social stressors and inflammatory gene expression in U.S. Chinese immigrants.

Health psychology : official journal of the Division of Health Psychology, American Psychological Association·2026

Related Experiment Video

Updated: May 25, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Exploring walking differences by socioeconomic status using a spatial agent-based model.

Yong Yang1, Ana V Diez Roux, Amy H Auchincloss

  • 1Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor, Michigan 48109, USA. yongyang@umich.edu

Health & Place
|January 17, 2012
PubMed
Summary

Interventions to boost walking for lower socioeconomic status (SES) individuals may fade if environments aren't supportive. Improving neighborhood safety increases walking, especially in mixed-use areas.

More Related Videos

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Related Experiment Videos

Last Updated: May 25, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Area of Science:

  • Urban planning
  • Public health
  • Behavioral science

Background:

  • Socioeconomic status (SES) significantly influences health behaviors, including physical activity.
  • Understanding disparities in walking behavior is crucial for targeted public health interventions.
  • Environmental factors play a key role in sustaining physical activity.

Purpose of the Study:

  • To explore the impact of environmental interventions on socioeconomic disparities in adult walking behavior.
  • To simulate the long-term effects of attitude changes and environmental improvements on walking for different SES groups.
  • To identify conditions under which interventions are most effective for lower SES populations.

Main Methods:

  • An exploratory agent-based model (ABM) was developed to simulate urban walking behavior.
  • The model incorporated individual attitudes towards walking and neighborhood environmental characteristics.
  • Simulations examined the effects of increased positive attitudes and improved safety in lower SES neighborhoods.

Main Results:

  • Positive attitude changes towards walking may not lead to sustained increases for lower SES individuals without supportive environmental features.
  • Enhancing safety in lower SES neighborhoods can increase walking behavior.
  • The effectiveness of safety improvements is moderated by land use mix, with greatest impact in highly mixed-use areas.

Conclusions:

  • Environmental context is critical for the long-term success of interventions aimed at increasing walking behavior in lower SES populations.
  • Targeted interventions, such as improving neighborhood safety in conjunction with promoting mixed land uses, show promise for reducing walking disparities.
  • Agent-based modeling provides a valuable tool for understanding complex interactions between individual behavior and urban environments.