Construction and Optimization of Regional Logistics Networks for Expressway Service Areas as Logistics Hubs
- DOI
- 10.2991/978-94-6239-758-3_57How to use a DOI?
- Keywords
- Expressway Service Area; Logistics Hub; Entropy Weight-TOPSIS Method; Improved Gravity Model
- Abstract
Aiming at uneven layout of fixed hubs in China’s regional logistics network, idle stock resources of expressway service areas, and insufficient county-level logistics coverage, this paper proposes transforming expressway service areas into dynamic logistics hubs and integrating them into the regional logistics network. Taking Shandong Province as empirical area, an adaptability evaluation system of 5 criterion layers and 14 secondary indicators is constructed. The Entropy Weight-TOPSIS method is adopted to screen hub nodes, and improved gravity model is combined to complete network construction and multi-objective optimization. The results show that integrating expressway service areas as logistics hubs into the network raises county-level logistics coverage in Shandong Province from 28.7% to 96.2%, cuts regional comprehensive logistics cost by 15.8%, and boosts trunk transit efficiency by 32.4%. This model can provide practical reference for functional upgrading of expressway service areas and optimization of regional logistics networks.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Haishen Zhang PY - 2026 DA - 2026/09/08 TI - Construction and Optimization of Regional Logistics Networks for Expressway Service Areas as Logistics Hubs BT - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026) PB - Atlantis Press SP - 583 EP - 589 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-758-3_57 DO - 10.2991/978-94-6239-758-3_57 ID - Zhang2026 ER -