Research on the Structure of Regional Logistics Network Based on Improved Gravity Model and SNA—A Case of Beijing-Tianjin-Hebei Region

2021 ◽  
Author(s):  
Hongchun Wang ◽  
Xinying Ma
Keyword(s):  
Gravity Model ◽  
Logistics Network ◽  
Regional Logistics

scholarly journals Improved gravity model under policy control in regional logistics

2020 ◽  
pp. 002029402091984
Author(s):  
Hongchun Wang ◽  
Mengyao Li
Keyword(s):  
Gravity Model ◽  
Practical Significance ◽  
Gravity Measurement ◽  
Gravity Level ◽  
Logistics Network ◽  
Regional Logistics ◽  
Network Layout ◽  
Important Direction ◽  
The Impact

Regional logistics has become an important direction of logistics development. The rationality of regional logistics network layout will affect the regional development. And the measurement and calculation of node gravity is an important aspect affecting the layout of logistics network. Nowadays, the traditional gravity model cannot measure the condition of a network properly. This paper focuses on the nodal gravity measurement in the logistics network and constructs an improved gravity model considering the role of policy. Quantifying the policy factors makes the measurement more realistic. We test our model on a famous regional logistics network in China. Result shows that cities are greatly influenced by policies, which change the node gravity obviously and even change the gravity level of logistics. This paper shows that the traditional gravity model ignores the impact of policy quantification on logistics gravity, and the improved gravity model that proposed in this paper has more practical significance.

scholarly journals Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Lizhao Yan ◽  
Yi Wen ◽  
Kok Lay Teo ◽  
Jian Liu ◽  
Fei Xu
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Large Scale ◽  
Analysis Method ◽  
Logistics Network ◽  
Regional Logistics ◽  
Logistics Networks ◽  
The Social ◽  
Weighted Model ◽  
New Perspective

In this paper, we construct a regional logistics model from a macroperspective. First, based on the gravity model, the index of logistics attraction between cities is established as the weight of the model, and hence the regional logistics weighted model is constructed. Next, we use the social network analysis method to analyze its structure and make specific recommendations for the construction of logistics networks. Finally, we analyze the model’s response to random attacks and deliberate attacks. From our study, it is found that when the failure nodes or edges reach a certain percentage, the regional logistics network will collapse on a large scale. Therefore, it is important to optimization the threshold of the regional logistics network. This clearly provides a new perspective for the study of the regional logistics networks.

scholarly journals Regional Logistics Network Design in Mitigating Truck Flow-Caused Congestion Problems

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mi Gan ◽  
Xinyuan Li ◽  
Fadong Zhang ◽  
Zhenggang He
Keyword(s):  
Network Design ◽  
Traffic Congestion ◽  
Design Problem ◽  
Transportation Network ◽  
Optimal Solution ◽  
Service Level ◽  
Initial Distribution ◽  
Urban Traffic ◽  
Logistics Network ◽  
Regional Logistics

Truck flow plays a vital role in urban traffic congestion and has a significant influence on cities. In this study, we develop a novel model for solving regional logistics network (RLN) design problems considering the traffic status of the background transportation network. The models determine not only the facility location, initial distribution planning, roadway construction, and expansion decisions but also offer an optimal solution to the logistics network service level and truck-type selections. We first analyze the relationship between the urban transportation network and the RLN design problem using real truck data and traffic flow status in a typical city. Then, we develop the uncover degree function (UDF), which reflects the service degree of the RLN and formulates based on an impedance function. Subsequently, the integrated logistics network design models are proposed. We model the RLN design problem as a minimal cost problem and design double-layer Lagrangian relaxation heuristics algorithms to solve the model problems. Through experiments with data from the six-node problem and Sioux-Falls network, the effectiveness of the models and algorithms is verified. This study contributes to the planning of regional logistics networks while mitigating traffic congestion caused by truck flow.

B2C e-commerce logistics network optimization model

2022 ◽  
Vol 30 (3) ◽  
pp. 0-0
Keyword(s):  
Gravity Model ◽  
Network Structure ◽  
Network Optimization ◽  
Optimization Model ◽  
Operation Mode ◽  
Cost Optimization ◽  
Urban Agglomeration ◽  
Logistics Network ◽  
Definition Of ◽  
Full Investigation

In this paper, considering the characteristics of e-commerce logistics and the problems arising from the construction of logistics network, based on the full investigation and research of the B2C electricity supplier operation mode, we have studied and summarized the research results of scholars at home and abroad aiming at the related problems, and summarized and summarized the methods and steps of logistics network optimization in the whole country. First, we established the logistics network structure.The definition of network level, node function and connection between nodes is carried out. Then, through the improved urban agglomeration order gravity model, the scope of self logistics city is screened. Finally, the link of logistics network structure is scheduled for completion with the goal of cost optimization.

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