Decision Support for Integrated Urban Passenger and Freight Transport on Rail

Urban last-mile logistics faces increasing pressure due to the growth of e-commerce, rising delivery costs, and congested urban streets. To address these challenges, this cumulative dissertation comprises four essays that explore diverse approaches to planning and evaluating the integration of parcel deliveries into existing urban passenger transport systems, with a particular focus on light-rail networks. Such systems can operate under different modes, including shared infrastructure, where passenger and freight vehicles use the same network, and shared vehicles, where passengers and parcels are transported simultaneously. They aim to reduce road-based freight traffic, lower emissions, and improve overall transport efficiency while maintaining a high service quality for passengers. The first essay of this thesis introduces a mixed-integer linear program that optimizes passenger and freight schedules while minimizing passenger waiting times and shipment delays. Building on this model, the second essay proposes an Adaptive Large Neighborhood Search heuristic to solve realistically sized instances within acceptable computation times. The third and fourth essays conceptualize and apply an Agent-Based Model to incorporate the perspectives and incentives of multiple stakeholders when evaluating integrated passenger-freight transport systems.

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