EURO 2024 Copenhagen
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2658. Developing a Sustainable Walk-and-Drive Tourism Recommendation System for Sports Mega-Events

Invited abstract in session TD-26: Routing for hybrid fleets of vehicles, stream Combinatorial Optimization.

Tuesday, 14:30-16:00
Room: 012 (building: 208)

Authors (first author is the speaker)

1. Elham JELODARI
ESDES
2. Sami Benjabeur
ESDES

Abstract


Participating in sports events has a rich history, from the ancient Olympics to today's global mega-events. In real-world scenarios, tourists attending sports events also desire to visit attractions during their stay. Tourist planning systems often integrate road and pedestrian networks to minimize transportation costs and greenhouse gas (GHG) emissions. Indeed, reducing annual tourism carbon emissions is a challenging objective due to infrastructure lock-in effects. In our research, tourists move to various Points of Interest (PoIs) or sports events, either by walking or driving, according to their preferred periods, considering time windows, and then are picked up from nearby locations. This variant of the delivery and pickup problem allows tourists to switch between walking and driving in different periods. Our contribution aims to develop a decision support system for tourists attending sports mega-events, offering opportunities to explore PoIs and participate in sports events. We present a mixed-integer linear programming formulation for the multi-period green delivery and pickup problem with time windows, aiming to maximize profit and minimize GHG emissions. We solve this problem using a new Hybrid ALNS algorithm and evaluate its performance against NSGA-II on real tourism data for Paris, focusing on the 2024 Paris Olympics. Finally, we offer insights for tourist agency managers through various analyses.

Keywords

Status: accepted

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