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Title	Modeling And Calibration Of Last-Mile Logistics To Study Smart-City Dynamic Space Management Scenarios
ID_Doc	37479
Authors	Wage O.; Heumann M.; Bienzeisler L.
Year	2023
Published	SuMob 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility
DOI	http://dx.doi.org/10.1145/3615899.3627930
Abstract	This contribution presents a base case modeling and calibration for simulation studies of last-mile parcel delivery in urban areas to be compared with future sustainable and livable alternative scenarios. We formulate a two-stage mixed-integer programming optimization framework. In the first stage, stopping points are identified using a facility location problem. In the second stage, these stopping points are served through multiple vehicle tours by solving a capacitated vehicle routing problem. The parameterization and calibration are based on real data for a part of the Hanover Linden-Nord district, which includes the street network, the parcel demand of a large logistics service provider, and stopping distances derived from trajectories. The model is the basis for follow-up work in the area of 5G-enabled dynamic space management. © 2023 Owner/Author(s).
Author Keywords	MILP; optimization; parking space management; urban logistics

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