Recommending Eco-Friendly Route Plans

This work offers urban travelers with a personalized travel recommender that will nudge them to plan routes while considering the environmentally friendliest travel modes and proposes a system architecture that incorporates dimensions of recommendation information elements and prole matching methods.

Abstract

As personal transportation is one of the greatest contributors of CO2 emissions, means able to assist travelers in reducing their ecological impact are urgently needed. In this work we focus on travel recommenders that encourage green transportation habits among travelers who have a preexisting interest in taking action to lessen their impact on the environment. We aim to provide urban travelers with a personalized travel recommender that will nudge them to plan routes while considering the environmentally friendliest travel modes. We present a novel, ecologically-aware approach for travel recommender systems and propose a system architecture that incorporates dimensions of recommendation information elements and profile matching methods.