Location Modeling for Logistics Parks

Joyendu Bhadury (), Mark Burkey and Samuel P Troy ()
Additional contact information
Joyendu Bhadury: University of North Carolina at Greensboro
Samuel P Troy: University of North Carolina at Greensboro

Chapter 3 in Applications of Location Analysis, 2015, pp 55-83 from Springer

Abstract: Abstract This case study highlights issues that are faced by location theorists in solving real-world problems by drawing upon a project involving the location of a Logistics Park in the Southeastern region of North Carolina, USA. First, the location modelling is presented using standard analytical methodology from location theory. Thereafter, a structured framework, referred to by its acronym SIRC, is introduced, which can be used for real-life location modeling problems. The implementation of SIRC is then illustrated through a description of the actual process used during the implementation of the project. Finally, the case study closes with its most important section, namely, lessons learned from the project that can guide future academic research in location theory in incorporating real life factors into location modeling.

Keywords: Demand Point; Candidate Site; Developable Land; North Carolina Department; Economic Census (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-20282-2_3

Ordering information: This item can be ordered from
http://www.springer.com/9783319202822

DOI: 10.1007/978-3-319-20282-2_3

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().