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Title:

Modeling Travel Time Perception in Transport Mode Choices

Accession Number:

01556831

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Travel behaviour models typically rely on data afflicted by errors, in perception (e.g. over/under-estimation by traveller) and measurement (e.g. software or researcher imputation error). Such errors are shown to have a relevant impact on model outputs. So far a comprehensive framework to deal with different types of biases related to travel model inputs is missing. In this paper, focusing on travel time, the authors include two types of measures (i.e. "calculated" and "reported") as indicators of an unobservable true travel time. The aim of including these travel time indicators is to investigate how the underlying travel time perception on behalf of travellers influences the modal choice, compared to the role of externally obtained measurements. The model framework is a latent variable structure where the different travel time indicators serve as manifestations, characterized by different types of biases, of the true travel time. The model is applied to a mode choice case study from Trieste (Italy). Notably, for this data-set, it is established that the calculated travel time distributions (i.e. measured by devices such as an assignment model developed with the software Visum and Google Maps) do not match the reported travel time distributions (i.e. reported by respondents in the survey). Therefore, a discrete choice model that employs available data and accounts for data limitations is developed. Results from comparing the base model assuming error-free inputs and the integrated models show more consistent and plausible model outputs such as value of time for the latter.

Supplemental Notes:

This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-2045

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Varotto, Silvia F
Glerum, Aurélie
Stathopoulos, Amanda
Bierlaire, Michel
Longo, Giovanni

Pagination:

15p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Discrete choice models

Geographic Terms:

Trieste (Italy)

Subject Areas:

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-2045

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 12:44PM