Next Article in Journal
A Statistically Rigorous Approach to Experimental Design of Vertical Living Walls for Green Buildings
Previous Article in Journal
Urban Sustainability and the SDGs: A Nordic Perspective and Opportunity for Integration
Open AccessCommunication

Over- and Under-Estimation of Travel Time on Commute Trips: GPS vs. Self-Reporting

1,† and 2,*,†
1
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
2
School of Civil Engineering, University of Sydney, Sydney, NSW 2006, Australia
*
Author to whom correspondence should be addressed.
D.L. conceived of the paper. D.L. and C.C. wrote the paper. C.C. conducted statistical analysis. D.L. edited the paper.
Urban Sci. 2019, 3(3), 70; https://doi.org/10.3390/urbansci3030070
Received: 14 June 2019 / Revised: 5 July 2019 / Accepted: 9 July 2019 / Published: 14 July 2019
  |  
PDF [455 KB, uploaded 15 July 2019]
  |  

Abstract

The underlying structure of road networks (e.g., circuity, relative discontinuity) contributes to the travel time perception of travelers. This study considers additional factors (e.g., arrival flexibility, access to traffic information) and tests nonlinearities linking perception of travel time. These factors are linked to four categories according to time perception research in psychology: temporal relevance, temporal uncertainty, and temporal expectancies; task complexity, absorption, and attentional deployment; and affective elements. This study estimates the relationship on data collected from commuters recruited from a previous GPS-based study in the Minneapolis-St. Paul region consisting of trips from home to work and back. For these work trips, the subjects’ self-reported travel times and the subjects’ travel times measured by GPS devices were collected. The results indicate that nonlinearities are present for road network attributes. Furthermore, the additional factors (e.g., arrival flexibility, access to traffic information) influence the travel time perception of travelers. View Full-Text
Keywords: travel time perception; GPS data; travel behavior; network structure travel time perception; GPS data; travel behavior; network structure
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Carrion, C.; Levinson, D. Over- and Under-Estimation of Travel Time on Commute Trips: GPS vs. Self-Reporting. Urban Sci. 2019, 3, 70.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Urban Sci. EISSN 2413-8851 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top