Predicting discordance between perceived and estimated walk and bike times among university faculty, staff, and students

Dangaia Sims · Stephen A. Matthews · Melissa Bopp · Liza S. Rovniak · Erika Shehan Poole

24 citations0/0 files storedTransportmetrica A Transport Science

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Urban Transport and Accessibility Transportation Planning and Optimization Physical Activity and Health

Abstract

Evidence indicates the importance of walking and biking as a form of transportation, known as active travel (AT), on various health outcomes. Time is one of the most cited barriers to AT. The objective of this study was to examine which variables predict walk and bike discordance (discrepancy between perceived an actual travel time) to campus among faculty, staff, and students. This was a cross-sectional online survey conducted in the Fall of 2014 with a volunteer sample of university students (n = 252) and faculty and staff (n = 253) at a large northeastern university. Participants responded to questions on demographics, psychosocial, AT, AT correlates, and residence. Google maps were used to determine time and distance from their residence to their most frequented campus location, from which discordance was determined. Among faculty and staff, bike discordance was associated with gender, age, biking to/from campus, and AT. Walk discordance was associated with walking to/from campus and distance to campus. Among students, bike discordance was associated with having a parking permit, self-efficacy for biking, gender, age, biking to/from campus, and AT. Walk discordance was associated with having a parking permit and distance to campus. Among faculty and staff, current travel behavior and factors relative to more AT behaviors are important predictors of discordance. Similar results were found among students. Individuals who AT more often likely have more concordance due to behavioral exposure. Likewise, those who are more fit are more likely to be health conscious and thus more likely to incorporate physical activity into other aspects of life.Highlights Time is one of the most cited barriers to active travel.Variables associated with discordance (discrepancy between actual travel time and perceived travel time) were determined.A cross-sectional online survey with a sample of university students, and faculty, and staff at a large northeastern university.Travel behavior and factors related to more AT behaviors are important predictors of discordance.Individuals who AT more often and are more fit likely have more concordance due to behavioral exposure.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 24 citations exist upstream.

References

2005Understanding interobserver agreement: the kappa statistic.2015Health impact assessment of active transportation: A systematic review 2006Personal, Family, Social, and Environmental Correlates of Active Commuting to School 2000The future mobility of the world population 2007Active commuting and cardiovascular risk: A meta-analytic review 2008Walking, Cycling, and Obesity Rates in Europe, North America, and Australia 2008Active commuting to school: how far is too far?2008Environmental determinants of active travel in youth: A review and framework for future research

Cited by

2024Systematic Analysis of Commuting Behavior in Italy Using K-Means Clustering and Spatial Analysis: Towards Inclusive and Sustainable Urban Transport Solutions 2024Is 23 minutes walking distance?: Factors determining walking time thresholds of Twitter users 2024How workable is a 20-minute city in Australia? Re-examining the challenge of change in spatial labour and job relations 2023Investigation of Passengers’ Perceived Transfer Distance in Urban Rail Transit Stations Using XGBoost and SHAP

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.