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Planning the City Logistics Terminal Location by Applying the Green p -Median Model and Type-2 Neurofuzzy Network
Joint Authors
Pamučar, Dragan
Vasin, Ljubislav
Atanasković, Predrag
Miličić, Milica
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The paper herein presents green p -median problem (GMP) which uses the adaptive type-2 neural network for the processing of environmental and sociological parameters including costs of logistics operators and demonstrates the influence of these parameters on planning the location for the city logistics terminal (CLT) within the discrete network.
CLT shows direct effects on increment of traffic volume especially in urban areas, which further results in negative environmental effects such as air pollution and noise as well as increased number of urban populations suffering from bronchitis, asthma, and similar respiratory infections.
By applying the green p -median model (GMM), negative effects on environment and health in urban areas caused by delivery vehicles may be reduced to minimum.
This model creates real possibilities for making the proper investment decisions so as profitable investments may be realized in the field of transport infrastructure.
The paper herein also includes testing of GMM in real conditions on four CLT locations in Belgrade City zone.
American Psychological Association (APA)
Pamučar, Dragan& Vasin, Ljubislav& Atanasković, Predrag& Miličić, Milica. 2016. Planning the City Logistics Terminal Location by Applying the Green p -Median Model and Type-2 Neurofuzzy Network. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1099742
Modern Language Association (MLA)
Pamučar, Dragan…[et al.]. Planning the City Logistics Terminal Location by Applying the Green p -Median Model and Type-2 Neurofuzzy Network. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1099742
American Medical Association (AMA)
Pamučar, Dragan& Vasin, Ljubislav& Atanasković, Predrag& Miličić, Milica. Planning the City Logistics Terminal Location by Applying the Green p -Median Model and Type-2 Neurofuzzy Network. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1099742
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099742