AHP-Based Multicriterial Ranking Model for the City Logistics Analysis of Urban Areas

Dávid Lajos Sárdi () and Krisztián Bóna ()
Additional contact information
Dávid Lajos Sárdi: Budapest University of Technology and Economics
Krisztián Bóna: Budapest University of Technology and Economics

A chapter in LISS 2020, 2021, pp 45-60 from Springer

Abstract: Abstract Nowadays, the urban freight traffic is a very important research area because of its significant effect on the urban sustainability. In this field, we can highlight the problems of the logistics systems of the so-called urban concentrated sets of delivery locations, as we need to serve lots of stores in a very small area in case of these sets. This research field is in the focus of the City Logistics Research Group of the Budapest University of Technology and Economics, since 2015. Based on the results of former research projects, we can say, that it could be really important to develop such a ranking model, which could rank the current city logistics state and the future city logistics development potentials of concentrated sets of delivery locations and other urban zones with individual delivery locations in the same time. In our paper, we are going to present an Analytic Hierarchy Process based multicriterial ranking model, which makes it possible to rank urban areas in a two-dimensional system, where the first dimension is the current city logistics state, and the second one is the future development potential. The main purpose of this ranking is to mark in future city logistics projects those urban zones, they could be well developed, and it is worthwhile to develop them.

Keywords: Logistics; City logistics; Budapest; AHP; Ranking model; Simulation; Shopping mall (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-4359-7_4

Ordering information: This item can be ordered from
http://www.springer.com/9789813343597

DOI: 10.1007/978-981-33-4359-7_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().