01660238

Component

This research presents an investigation of the factors that influence commuter’s trip making behaviour with specific attention to commute durations in the North-East of England using hazard based duration modelling techniques. Although the data used for this study was UK National Travel Survey (NTS) with the latest available to the public in 2015, associated analysis methods and generic outcomes are applicable internationally. According to goodness-of-fit test, lognormal distribution was selected as the most appropriate one that fits the commute duration data based on Akaike Information Criteria (AIC). Accordingly, parametric Accelerated Failure Time (AFT) model, which is suitable for the lognormal distribution, was used to investigate how the relevant variables influence daily commute duration. The results showed that the change in commute trip duration was statistically significantly influenced by trip departure time, month of the year, sociodemographic attributes, car ownership level and mode choice. The outcome contributes to provide indicative tools to facilitate better management and performance of commuters’ trip making.

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values. Alternate title: Characterizing the Trends of Commute Duration Change Using Duration Modeling Method.

18-02490

English

17p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Commuters; Commuting; Decision making; Hazards; Travel behavior; Travel time

Highways; Operations and Traffic Management; Passenger Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-02490

TRIS, TRB, ATRI

Jan 8 2018 10:36AM