01630077

Component

This paper summarizes some analyses of data from the 2014 regional household travel survey in Puget Sound, Washington. The study investigates how smartphone and non-smartphone users (both customers of Advance Traveler Information Systems (ATIS)) acquire and use travel information, with emphasis on how such systems impact their travel behaviors. The penetration of smartphones into the ATIS market is rising rapidly and gradually taking over from the traditional sources of travel information including TVs and radios. Re-examining who are the ATIS customers will provide useful information to practitioners and agencies on which communication technologies are most influential in adjusting travelers’ routine decisions, thereby making cost-effective investments in these technologies. Logistic regression models are developed to understand how traveler characteristics and ATIS impact travel decisions. The findings show that the website, smartphone apps, and radio are the most predominant information sources for smartphone users whereas the website, radio and TV are the most frequent information sources for non-smartphone users. Travel information on congestion/delay, travel time and travel route are the most sought type of information in the Puget Sound Region. Google map/transit is the most typically accessed website, followed by Washington Department of Transportation (WSDOT) website in the study area. Among smartphone users, the OneBusAway app is the most predominantly used app. Both smartphone and non-smartphone users are reluctant to make any adjustments to their travel plans (i.e., change mode, travel route/time, or cancel trip), however, with regards to decision to change their planned route completely, smartphone users are more likely to do so compared to non-smartphone users.

This paper was sponsored by TRB committee AND20 Standing Committee on User Information Systems.

01618707

17-00698

English

0000-0002-0790-7794

16p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Advanced traveler information systems; Decision making; Information dissemination; Logistic regression analysis; Mobile applications; Smartphones; Travel behavior; Travel surveys; Websites (Information retrieval)

Puget Sound Region

Data and Information Technology; Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2017 Paper #17-00698

TRIS, TRB, ATRI

Dec 8 2016 10:09AM