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Related Experiment Video

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Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

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Published on: June 9, 2020

Active commuting influences among adults.

Melissa Bopp1, Andrew T Kaczynski, Gina Besenyi

  • 1Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA. mjb73@psu.edu

Preventive Medicine
|February 14, 2012
PubMed
Summary
This summary is machine-generated.

Active commuting (AC) is complex, influenced by many factors. Understanding these motivators and barriers is key to developing effective public health programs promoting walking and biking for better health.

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Last Updated: May 25, 2026

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Area of Science:

  • Public Health
  • Behavioral Science
  • Transportation Studies

Background:

  • Active commuting (AC) offers significant health advantages, yet the factors influencing this behavior remain incompletely understood.
  • Understanding the drivers of AC is crucial for designing interventions to increase its adoption.

Purpose of the Study:

  • To investigate a comprehensive range of influences on self-reported active commuting behavior.
  • To identify demographic, psychological, and workplace factors associated with walking, biking, and driving to work.

Main Methods:

  • An online survey was administered to 375 participants in Manhattan, KS, collecting data on commuting patterns, motivators, barriers, self-efficacy, workplace factors, and demographics.
  • Logistic regression models were employed to predict the likelihood of engaging in AC, with significant factors analyzed in a multivariate model.

Main Results:

  • 24.2% of participants reported engaging in AC at least once weekly.
  • Demographic variables, employment factors, perceived barriers, and motivators were significantly associated with walking, biking, and driving behaviors.
  • Multivariate models identified multiple significant predictors for walking, biking, and driving, explaining a substantial portion of the variance.

Conclusions:

  • Active commuting is a multifaceted behavior influenced by a diverse set of factors.
  • The findings provide valuable insights for creating targeted policies and programs aimed at increasing population-level AC and its associated health benefits.