Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6621n.shah

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pozo:2019:10.1016/j.jclepro.2019.117839,
author = {Pozo, C and Limleamthong, P and Guo, Y and Green, T and Shah, N and Acha, S and Sawas, A and Wu, C and Siegert, M and Guillén-Gosálbez, G},
doi = {10.1016/j.jclepro.2019.117839},
journal = {Journal of Cleaner Production},
pages = {1--14},
title = {Temporal sustainability efficiency analysis of urban areas via data envelopment analysis and the hypervolume indicator: Application to London boroughs},
url = {http://dx.doi.org/10.1016/j.jclepro.2019.117839},
volume = {239},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Transitioning towards a more sustainable society calls for systematic tools to assess the sustainability performance of urban systems. To perform this task effectively, this work introduces a novel method based on the combined use of Data Envelopment Analysis (DEA) and the hypervolume indicator. In essence, DEA is applied to (i) distinguish between efficient and inefficient urban systems through the identification of best practices; and to (ii) establish improvement targets for the inefficient urban systems that, if attained, would make them efficient. Meanwhile, the hypervolume indicator is employed in conjunction with DEA to evaluate how urban systems evolve with time. The capabilities of this approach are illustrated through its application to the sustainability assessment of London boroughs between 2012–2014. Results reveal that most boroughs tend to perform well in terms of the indicators selected, with 20–25 of the 32 boroughs found efficient depending on the year. Regarding the temporal assessment, a global improvement in sustainability performance was found, with a strong relationship between the boroughs’ performances and their locations. The method proposed opens new pathways of social and environmental research for the application of advanced multi-criteria decision-support tools in the assessment and optimisation of urban systems.
AU  - Pozo,C
AU  - Limleamthong,P
AU  - Guo,Y
AU  - Green,T
AU  - Shah,N
AU  - Acha,S
AU  - Sawas,A
AU  - Wu,C
AU  - Siegert,M
AU  - Guillén-Gosálbez,G
DO  - 10.1016/j.jclepro.2019.117839
EP  - 14
PY  - 2019///
SN  - 0959-6526
SP  - 1
TI  - Temporal sustainability efficiency analysis of urban areas via data envelopment analysis and the hypervolume indicator: Application to London boroughs
T2  - Journal of Cleaner Production
UR  - http://dx.doi.org/10.1016/j.jclepro.2019.117839
UR  - https://www.sciencedirect.com/science/article/pii/S0959652619327052?via%3Dihub
UR  - http://hdl.handle.net/10044/1/77196
VL  - 239
ER  -
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