Event-driven personalized travel path planning with integrated en-route POI recommendations

Abstract

Participants in large-scale sports events in cold environments demand efficient and personalized travel route planning to ensure they can take part in the activities on time, safely and comfortably. While existing travel planning studies primarily address basic origin-destination requirements, they often overlook the impact of cold environments on pedestrians’ psychology and physiology and the route recommendations for personalized travel. To bridge this gap, a personalized travel path planning with integrated en-route point of interest (POI) recommendations (PTPP-POI) framework in the cold events is proposed. It takes into account the impact of cold environments on the psychology and physiology of pedestrians, and dynamically recommends personalized travel routes to meet the travel needs of pedestrians in cold events. Taking the Beijing Winter Olympics as an example, and simulation results indicate that implementing PTPP-POI increases the probability of path matching—from 77.4% to 81.6% during ingress and from 47.0% to 52.6% during egress—along with significant increases in serviced POI counts. The PTPP-POI offers a user-friendly travel guidance framework that not only enhances the probability of path matching and POI utilization but also substantially improves the overall experience of participants.