Imperial College London
Professor Michael Bell

ProfessorMichaelBell

Faculty of Engineering, Department of Civil and Environmental Engineering

Senior Research Investigator
 
 
 
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Contact

 

m.g.h.bell

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Teye:2017:10.1016/j.trpro.2017.05.013,
author = {Teye, C and Bell, MGH and Bliemer, MCJ},
doi = {10.1016/j.trpro.2017.05.013},
journal = {Transportation Research Procedia},
pages = {208--227},
title = {Locating urban and regional container terminals in a competitive environment: an entropy maximising approach},
url = {http://dx.doi.org/10.1016/j.trpro.2017.05.013},
volume = {23},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A flexible and policy-oriented model based on the principle of entropy maximisation is proposed for locating competitive multiuser freight facilities in general and inland multi-user intermodal container terminals (IMTs) in particular in a context where multiple users have choices which include whether or not to use the facilities. The overall problem is decomposed into a linked facility location problem (FLP) and a mode choice problem (MCP). The MCP is cast as a three-level nested probability model for determining modal and IMT demands. It was shown that for terminals with sufficiently large handling capacities, the objective function of the overall problem reduces to that of the MCP, the result is a single level mathematical program, which locates facilities to maximise shippers’ expected utility or consumer surplus. The model is suitable for urban or regional planning, but may also be used by terminal operators to estimate shipper demand for given locations. Algorithms for solving the model, principal features of the algorithms and the model are also presented.
AU  - Teye,C
AU  - Bell,MGH
AU  - Bliemer,MCJ
DO  - 10.1016/j.trpro.2017.05.013
EP  - 227
PY  - 2017///
SN  - 2352-1465
SP  - 208
TI  - Locating urban and regional container terminals in a competitive environment: an entropy maximising approach
T2  - Transportation Research Procedia
UR  - http://dx.doi.org/10.1016/j.trpro.2017.05.013
UR  - https://www.sciencedirect.com/science/article/pii/S2352146517302909
VL  - 23
ER  -
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