Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS

• Published in: Transportation research. Part F, Traffic psychology and behaviour Vol. 12; no. 4; pp. 347 - 358
• Main Authors: Papinski, Dominik, Scott, Darren M., Doherty, Sean T.
• Format: Journal Article
• Language: English
• Published: Elsevier India Pvt Ltd 01-07-2009
• Subjects: Decision-making; GIS; GPS; Route choice; Travel behavior; Decision-making; GIS; GPS; Travel behavior; Route choice
• ISSN: 1369-8478; 1873-5517
• DOI: 10.1016/j.trf.2009.04.001

Trip decisions are complex and involve choosing the activity destination, mode and subsequently the route for travel. This paper presents detailed information on the planned and observed route choices for the home-to-work commute. Specifically, the study examines how people formulate their route plans and describe their attitudes and preferences for their selected routes. A geographic information system (GIS) records the planned route information with the route planning sequence. Observing route choice is a difficult procedure; however, through the use of the global positioning system (GPS), one can accurately record route choice. An automated activity–trip detection algorithm processes GPS data and displays results within an internet-based prompted recall diary. The diary is used to verify trip start and end times. This combination of GPS, GIS and diary responses provides great insight into the route choice decision-making process. Thirty-one individuals from Ontario, Canada participated in answering survey questions and the collection of person-based GPS data. Results indicate a preference to minimize travel time as stated by participants in deciding what route to travel. Participants also affirmed a desire to minimize the number of stop lights/signs, as well as, avoid congestion and maximize route directness. A comparison between planned and observed routes, reveals about one-fifth of participants deviated from their planned route. This study demonstrates the need for qualitative and quantitative survey methods for exploring planned and observed route choice.