Peoples perception of congestion and the actual measured congestion do not always agree. Measured congestion relates to the delay resulting from field measurements of traffic volume, speed, and travel time. Peoples perception of congestion can be influenced by relative year to year growth in congestion, improved or new transportation infrastructure, and societal attitudes on transportation. IBM publishes an annual study on the attitudes of commuters from across the world on their daily travel (known as the Commuter Pain Survey). The Texas A&M Transportation Institute (TTI) publishes an annual Urban Mobility Report that measures urban mobility based on public and private traffic data for highways, streets, and transit. This research attempts to connect the relationships between perceived congestion as determined by IBMs Commuter Pain Survey results and measured congestion from the Urban Mobility Report (UMR) in 10 cities across the United States. The raw Pain Index values (the unadjusted index values based entirely on survey responses) had higher correlation with TTI-based measures than the published Pain Index. The Raw Pain Index was found to correspond to a composite model of two of the four core UMR measures examinedthe Travel Time Index and the Roadway Congestion Index. This study also examines the correlation of measured congestion between the UMR and two measures of the INRIX National Traffic Scorecard. The Travel Time Tax (T3) and the Worst Hour T3 were found to correspond to a model of the Travel Time Index of the UMR. The Travel Time Tax correlates especially well with the Travel Time Index.
Comparing Perceptions and Measures of Congestion. Final Report Jan 2011-Oct 2012
2012
22 pages
Report
Keine Angabe
Englisch
Jahresbericht 2011/2012.
Annual report 2011/2012
ELBA - Bundesanstalt für Straßenwesen (BASt) | 2013
|Quantifying Congestion. Volume 1. Final Report
NTIS | 1997
|