Synthesis of Urban Freight Transport Demand: The Case of Last-Mile Food Deliveries

Demand for freight transport results from the spatial separation of shippers and recipients. Only after these two parties agreed to a relationship are all other logistics and transport decisions made. Thus, the relationships between shippers and recipients are of great importance. For this reason, the allocation of shippers and recipients, also is worth addressing from a modeling perspective. To arrive at a synthetic population of shippers and recipients, a heuristic optimization method that combines priority labeling and a simulated annealing algorithm was developed. The model was applied to a real-life case study of last-mile deliveries in food retail in Berlin, which was based on existing nationwide survey data and other open-source data.

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Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-03-13
DOI
https://doi.org/10.1177/03611981241310133
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
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article

Synthesis of Urban Freight Transport Demand: The Case of Last-Mile Food Deliveries

Tilman Matteis, Gernot Liedtke, Lei Zhang
Transportation Research Record Journal of the Transportation Research Board
Urban and Freight Transport Logistics
article

Synthesis of Urban Freight Transport Demand: The Case of Last-Mile Food Deliveries

Tilman Matteis, Gernot Liedtke, Lei Zhang
article en

Abstract

Demand for freight transport results from the spatial separation of shippers and recipients. Only after these two parties agreed to a relationship are all other logistics and transport decisions made. Thus, the relationships between shippers and recipients are of great importance. For this reason, the allocation of shippers and recipients, also is worth addressing from a modeling perspective. To arrive at a synthetic population of shippers and recipients, a heuristic optimization method that combines priority labeling and a simulated annealing algorithm was developed. The model was applied to a real-life case study of last-mile deliveries in food retail in Berlin, which was based on existing nationwide survey data and other open-source data.

Transportation Research Record Journal of the Transportation Research BoardVol. 2679(5)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Technische Universität Berlin (DE)
Openalex Percentile: Top 96%
Urban and Freight Transport Logistics
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Synthesis of Urban Freight Transport Demand: The Case of Last-Mile Food Deliveries — Tilman Matteis, Gernot Liedtke, et al. · Transportation Research Record Journal of the Transportation Research Board (2025) | TGRS Research Map | TGRS