Abstract
This paper presents a heuristic optimization approach in order to model relationships between shippers and recipients in urban freight transport. It proposes an algorithm with which these relationships can be synthesized in the absence of survey data. In an urban environment, freight customers are assigned to distribution centres in a way that replicates the observed distance distribution between shippers and recipients. The result is a synthetic freight demand population that can serve as a starting point for analyzing behavior-based urban freight and freight policy effectiveness. It presents an application for a real-world case study of retail food in Berlin.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
