Synergizing Trucks with Fixed-Route Buses to Design an Efficient Three-Echelon Rural Delivery Logistics Network

Rural areas often lack convenient delivery logistics services, which has become a major obstacle to their economic development. Network design initiatives that synergize passenger and freight transport have been identified as effective solutions to address this challenge. Building upon this initiative, this study investigates a novel three-echelon location-routing problem that synergizes trucks and fixed-route buses (3E-LRP-TF). The model is designed with an innovative operational mode that enables fixed-route buses and trucks to travel in a parallel manner, representing a valuable extension to traditional integrated passenger–freight distribution network design. A mixed-integer nonlinear programming model with the objective of minimizing the total network cost is constructed to formulate the problem. Furthermore, a bottom-up three-phase adaptive large neighborhood search (ALNS) algorithm is designed to solve the problem. A final empirical study was conducted, with Qingchuan County in China serving as a case study, with the aim of validating the effectiveness of the proposed model and algorithm. The results show that, compared with using trucks alone, the synergistic network system has the potential to reduce costs by more than 5% for parcel pickup and delivery services. The proposed algorithm can address larger-scale problems and exhibits better performance with regard to solution quality and efficiency. Sensitivity analysis indicates that the parcel transport capacity of bus routes exerts a nonlinear effect on total costs, and changes in service radius result in trade-offs between cost and accessibility. These findings provide actionable insights for policymakers and logistics operators.

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Publication Details

Journal
Mathematics
Published
2025-09-25
DOI
https://doi.org/10.3390/math13193085
Citations
1
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
1.01

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article

Synergizing Trucks with Fixed-Route Buses to Design an Efficient Three-Echelon Rural Delivery Logistics Network

Wenjie Sun, Wenbin Lu, Jiao Liu, Jin Zhang
1 citations
Mathematics
Urban and Freight Transport Logistics
1.01
article

Synergizing Trucks with Fixed-Route Buses to Design an Efficient Three-Echelon Rural Delivery Logistics Network

Wenjie Sun, Wenbin Lu, Jiao Liu, Jin Zhang
article en
1 citations

Abstract

Rural areas often lack convenient delivery logistics services, which has become a major obstacle to their economic development. Network design initiatives that synergize passenger and freight transport have been identified as effective solutions to address this challenge. Building upon this initiative, this study investigates a novel three-echelon location-routing problem that synergizes trucks and fixed-route buses (3E-LRP-TF). The model is designed with an innovative operational mode that enables fixed-route buses and trucks to travel in a parallel manner, representing a valuable extension to traditional integrated passenger–freight distribution network design. A mixed-integer nonlinear programming model with the objective of minimizing the total network cost is constructed to formulate the problem. Furthermore, a bottom-up three-phase adaptive large neighborhood search (ALNS) algorithm is designed to solve the problem. A final empirical study was conducted, with Qingchuan County in China serving as a case study, with the aim of validating the effectiveness of the proposed model and algorithm. The results show that, compared with using trucks alone, the synergistic network system has the potential to reduce costs by more than 5% for parcel pickup and delivery services. The proposed algorithm can address larger-scale problems and exhibits better performance with regard to solution quality and efficiency. Sensitivity analysis indicates that the parcel transport capacity of bus routes exerts a nonlinear effect on total costs, and changes in service radius result in trade-offs between cost and accessibility. These findings provide actionable insights for policymakers and logistics operators.

MathematicsVol. 13(19)
Southwest Jiaotong University (CN), Shandong Institute of Business and Technology (CN), Xinjiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Urban and Freight Transport Logistics
1.01
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