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

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

469
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
469
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

325
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
325
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

17.4K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
17.4K
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

227
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
227
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

696
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
696
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

221
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...
221

You might also read

Related Articles

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

Sort by
Same author

Age-inclusive Arctic outdoor spaces: a policy review in four Nordic countries.

International journal of circumpolar health·2024
Same author

Positive Self-Perceptions of Aging Play a Significant Role in Predicting Physical Performance among Community-Dwelling Older Adults.

International journal of environmental research and public health·2021
Same author

Perceived impact of meteorological conditions on the use of public space in winter settlements.

International journal of biometeorology·2020
Same author

Gait Speed with Anti-Slip Devices on Icy Pedestrian Crossings Relate to Perceived Fall-Risk and Balance.

International journal of environmental research and public health·2019
Same author

Winter City Urbanism: Enabling All Year Connectivity for Soft Mobility.

International journal of environmental research and public health·2019
Same author

Teamwork and Safety Climate in Homecare: A Mixed Method Study.

International journal of environmental research and public health·2018
Same journal

Correction: Grewal et al. Diversity and Representation in Cardiovascular Research: Evidence Gaps, Emerging Models, and Policy Implications. <i>Int. J. Environ. Res. Public Health</i> 2026, <i>23</i>, 241.

International journal of environmental research and public health·2026
Same journal

Drinking Water Quality and Health Risk Assessment in Rural Ghana: Evidence from North-East and North Gonja Districts in the Savannah Region.

International journal of environmental research and public health·2026
Same journal

Physical Activity of University Students During COVID-19 Restrictions: Evidence from Poland.

International journal of environmental research and public health·2026
Same journal

Assessment of Occupational Health and Safety Hazards in Mosquito Control Personnel in North Carolina and Virginia, USA.

International journal of environmental research and public health·2026
Same journal

Association Between Dysfunctional Parenting Practices and Suspected Gaming Disorder Among Japanese Male Junior High School Students: A Cross-Sectional Study of Parental Assessment.

International journal of environmental research and public health·2026
Same journal

A National Virtual Peer Support Group for Women Veterans Living with Breast Cancer: Lessons from the Field.

International journal of environmental research and public health·2026
See all related articles

Related Experiment Video

Updated: Jan 6, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.1K

Toward an Integrated Model for Soft-Mobility.

David Chapman1, Agneta Larsson2

  • 1Architecture Group, Luleå University of Technology, 97187 Luleå, Sweden. david.chapman@ltu.se.

International Journal of Environmental Research and Public Health
|October 2, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a model for soft-mobility, emphasizing how urban form, climate, and individuals influence outdoor activity and health, especially in cold climates. Understanding these interactions is key for year-round engagement.

Keywords:
climate changehealth outcomesoutdoor activityurban design

More Related Videos

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.1K

Related Experiment Videos

Last Updated: Jan 6, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.1K
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.1K

Area of Science:

  • Urban Planning & Design
  • Environmental Psychology
  • Transportation Studies

Background:

  • Creating built environments that promote year-round outdoor activity is a significant urban design challenge.
  • Seasonal climate variations and climate change impact people's choices for movement and outdoor engagement.
  • Understanding factors influencing soft-mobility is crucial for public health and sustainable urban development.

Purpose of the Study:

  • To introduce and explore a novel model for soft-mobility.
  • To analyze the interplay between urban form, seasonal climate, climate change, and individual choices.
  • To investigate factors influencing people's outdoor activity and modal choices in cold climate settlements during winter.

Main Methods:

  • Comparative document analysis.
  • Surveys and questionnaires.
  • Mental mapping and photo elicitation techniques.

Main Results:

  • The study identified a dynamic relationship between urban form, seasonal climate, and individual preferences in shaping soft-mobility choices.
  • Results indicate that these interactions significantly affect the extent of people's outdoor activity.
  • Outdoor activity levels directly correlate with individual health benefits, particularly in regions with pronounced climate variability.

Conclusions:

  • The developed model highlights that urban form, season, and the individual are interconnected factors influencing soft-mobility.
  • These interactions are dynamic and constantly evolving, influenced by planning, development, and ongoing climate change.
  • Effective urban design must consider these multifaceted interactions to foster consistent outdoor activity and improve public health across seasons.