Sustainability assessment of inland transportation in China: a triple bottom line-based network DEA approach
Sustainability assessment of inland transportation in China: a triple bottom line-based network DEA approach
The transport sector accounts for nearly one third of the world’s total energy use, while inland transport alone is responsible for half of the global petroleum consumption. The expansion of motorization in newly industrialized economies necessitates setting realistic targets. To support decision-makers in better assessment of transport sustainability performance, we introduce a systematic triple bottom line-based approach to evaluate inland transport, considering social, economic, and environmental dimensions of sustainability. The proposed network data envelopment analysis (DEA) measure organizes the three components of the system into a parallel structure, allocates shared input across subsystems, and incorporates undesirable output. The empirical application determines the efficiency of regional inland transportation systems in China from 2006 to 2015. The results indicate a rise in overall transport efficiency between China’s 11th and 12th five-year development plan periods and link the economic growth with a decrease in environmental transport efficiency in the Central and Western zones and with a decline in social efficiency in the Eastern zone. Since 2012, the social sustainability remains the weakest component of inland transport, which requires special attention by policy-makers to support vulnerable groups of transport users. This study provides further insight into the investigated measures and proposes recommendations for the improvement of inland transport in China.
Stefaniec, A.
66b6b4a6-d73d-43de-a604-40094d303d1b
Hosseini, K.
7d5b7ddf-4d92-48d1-94f2-43af032b4408
Xie, J.
48e8b371-e1f3-454c-9191-60ec5a7af0b8
Li, Y.
8c24637b-e5a6-470b-a6bd-200652dc2f37
7 February 2020
Stefaniec, A.
66b6b4a6-d73d-43de-a604-40094d303d1b
Hosseini, K.
7d5b7ddf-4d92-48d1-94f2-43af032b4408
Xie, J.
48e8b371-e1f3-454c-9191-60ec5a7af0b8
Li, Y.
8c24637b-e5a6-470b-a6bd-200652dc2f37
Stefaniec, A., Hosseini, K., Xie, J. and Li, Y.
(2020)
Sustainability assessment of inland transportation in China: a triple bottom line-based network DEA approach.
Transportation Research Part D: Transport and Environment, [102258].
(doi:10.1016/j.trd.2020.102258).
Abstract
The transport sector accounts for nearly one third of the world’s total energy use, while inland transport alone is responsible for half of the global petroleum consumption. The expansion of motorization in newly industrialized economies necessitates setting realistic targets. To support decision-makers in better assessment of transport sustainability performance, we introduce a systematic triple bottom line-based approach to evaluate inland transport, considering social, economic, and environmental dimensions of sustainability. The proposed network data envelopment analysis (DEA) measure organizes the three components of the system into a parallel structure, allocates shared input across subsystems, and incorporates undesirable output. The empirical application determines the efficiency of regional inland transportation systems in China from 2006 to 2015. The results indicate a rise in overall transport efficiency between China’s 11th and 12th five-year development plan periods and link the economic growth with a decrease in environmental transport efficiency in the Central and Western zones and with a decline in social efficiency in the Eastern zone. Since 2012, the social sustainability remains the weakest component of inland transport, which requires special attention by policy-makers to support vulnerable groups of transport users. This study provides further insight into the investigated measures and proposes recommendations for the improvement of inland transport in China.
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e-pub ahead of print date: 7 February 2020
Published date: 7 February 2020
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Local EPrints ID: 495275
URI: http://eprints.soton.ac.uk/id/eprint/495275
ISSN: 1361-9209
PURE UUID: 052aa23e-1504-4517-b8d4-c7b178444834
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Date deposited: 06 Nov 2024 17:46
Last modified: 13 Nov 2024 03:12
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Author:
A. Stefaniec
Author:
K. Hosseini
Author:
J. Xie
Author:
Y. Li
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