Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/19770
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen, TV | - |
dc.date.accessioned | 2019-12-06T13:16:43Z | - |
dc.date.available | 2019-12-06T13:16:43Z | - |
dc.date.issued | 2019-11-27 | - |
dc.identifier.citation | Transportation Research Part E: Logistics and Transportation Review | en_US |
dc.identifier.issn | 1366-5545 | en_US |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/19770 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Transportation | en_US |
dc.subject | Data mining | en_US |
dc.subject | Large scale optimization | en_US |
dc.subject | Dry ports | en_US |
dc.subject | Complex network theory | en_US |
dc.title | A data-driven optimization of large-scale dry port locations using the hybrid approach of data mining and complex network theory | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.tre.2019.11.010 | en_US |
dc.relation.isPartOf | Transportation Research Part E: Logistics and Transportation Review | - |
pubs.publication-status | Published | - |
Appears in Collections: | Brunel Business School Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 1.47 MB | Adobe PDF | View/Open |
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