Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand
Joint Authors
Liu, Yajie
Zhang, Dezhi
Li, Shuangyan
Jiang, Jiehui
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-07
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
This study investigates a multimodal green logistics network design problem of urban agglomeration with stochastic demand, in which different logistics authorities among the different cities jointly optimize the logistics node configurations and uniform carbon taxes over logistics transport modes to maximize the total social welfare of urban agglomeration and consider logistics users’ choice behaviors.
The users’ choice behaviors are captured by a logit-based stochastic equilibrium model.
To describe the game behaviors of logistics authorities in urban agglomeration, the problem is formulated as two nonlinear bilevel programming models, namely, independent and centralized decision models.
Next, a quantum-behaved particle swarm optimization (QPSO) embedded with a Method of Successive Averages (MSA) is presented to solve the proposed models.
Simulation results show that to achieve the overall optimization layout of the green logistics network in urban agglomeration the logistics authorities should adopt centralized decisions, construct a multimode logistics network, and make a reasonable carbon tax.
American Psychological Association (APA)
Jiang, Jiehui& Zhang, Dezhi& Li, Shuangyan& Liu, Yajie. 2019. Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1169857
Modern Language Association (MLA)
Jiang, Jiehui…[et al.]. Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand. Journal of Advanced Transportation No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1169857
American Medical Association (AMA)
Jiang, Jiehui& Zhang, Dezhi& Li, Shuangyan& Liu, Yajie. Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1169857
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169857