Lesson

Provide trip itineraries in personalized traveler information platforms based around cost, time, and user preferences to influence travelers to change their behaviors.

The Trip Itinerary Optimization platform was developed to optimize trip itineraries in accordance with realistic daily constraints and unique circumstances of individual travelers.


November 2017


Background (Show)

Lesson Learned

Overall, users agreed that the dashboard was enjoyable and easy to use in addition to being helpful in adopting new travel behaviors. Results indicated that users retained a strong preference for optimizing time and cost and were more likely to use these itineraries versus the caloric intensity and carbon emissions itineraries. Users commonly expressed interest in even more fine-grained traffic data and the ability to dynamically model the effect of changes in travel times.

Users were also generally concerned over the safety of walking and biking recommendations. Responses indicate that more information about the amenities available to cyclists and pedestrians (sidewalks, shade from trees, access to food) and routes that avoid areas of perceived elevated danger would reduce barriers to implementing such recommended modes.


Lesson Comments

No comments posted to date

Comment on this Lesson

To comment on this lesson, fill in the information below and click on submit. An asterisk (*) indicates a required field. Your name and email address, if provided, will not be posted, but are to contact you, if needed to clarify your comments.



Source

The Trip Itinerary Optimization Platform: A Framework for Personalized Travel Information

Author: Kwasnik, Ted, et al.

Published By: National Renewable Energy Laboratory

Source Date: November 2017

Other Reference Number: NREL/TP-6A80-67241

URL: https://www.nrel.gov/docs/fy18osti/67241.pdf

Lesson Contacts

Lesson Analyst:

Janet Fraser
Noblis
304-848-3924
janet.fraser@noblis.org


Rating

Average User Rating

0 ( ratings)

Rate this Lesson

(click stars to rate)


Lesson ID: 2017-00802