Life cycle assessment of greenhouse gas emission reduction through bike-sharing for sustainable cities

Baoquan Cheng; Jianchang Li; Hao Su; Kun Lu; Huihua Chen; Jianling Huang

doi:10.1016/j.seta.2022.102789

Life cycle assessment of greenhouse gas emission reduction through bike-sharing for sustainable cities

Baoquan Cheng, Jianchang Li, Hao Su, Kun Lu, Huihua Chen, Jianling Huang^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Bike-sharing has shown its potential to improve irrational urban transportation structures and significantly reduce greenhouse gas emissions. This paper thus established a computation model to assess the greenhouse gas emission (GGE) reduction through bike-sharing based on the life cycle assessment (LCA) theory. Data collected from Shanghai, China, is selected for a case study to demonstrate and validate the model. Results indicate that promoting bike-sharing can significantly reduce the life cycle GGE (LCGGE) in the transportation sector. Findings from this study highlight the environmental benefits of bike-sharing, which provide valuable references for improving urban transportation systems and developing sustainable cities.

Original language	English
Article number	102789
Number of pages	9
Journal	Sustainable Energy Technologies and Assessments
Volume	53
Early online date	28 Sept 2022
DOIs	https://doi.org/10.1016/j.seta.2022.102789
Publication status	Published - Oct 2022
Externally published	Yes

Keywords

Life cycle assessment
Bike-sharing
Greenhouse gas emission reduction
Urban transportation system
Sustainable cities

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.seta.2022.102789Licence: None: All rights reserved

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title = "Life cycle assessment of greenhouse gas emission reduction through bike-sharing for sustainable cities",

abstract = "Bike-sharing has shown its potential to improve irrational urban transportation structures and significantly reduce greenhouse gas emissions. This paper thus established a computation model to assess the greenhouse gas emission (GGE) reduction through bike-sharing based on the life cycle assessment (LCA) theory. Data collected from Shanghai, China, is selected for a case study to demonstrate and validate the model. Results indicate that promoting bike-sharing can significantly reduce the life cycle GGE (LCGGE) in the transportation sector. Findings from this study highlight the environmental benefits of bike-sharing, which provide valuable references for improving urban transportation systems and developing sustainable cities.",

keywords = "Life cycle assessment, Bike-sharing, Greenhouse gas emission reduction, Urban transportation system, Sustainable cities",

author = "Baoquan Cheng and Jianchang Li and Hao Su and Kun Lu and Huihua Chen and Jianling Huang",

year = "2022",

month = oct,

doi = "10.1016/j.seta.2022.102789",

language = "English",

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TY - JOUR

T1 - Life cycle assessment of greenhouse gas emission reduction through bike-sharing for sustainable cities

AU - Cheng, Baoquan

AU - Li, Jianchang

AU - Su, Hao

AU - Lu, Kun

AU - Chen, Huihua

AU - Huang, Jianling

PY - 2022/10

Y1 - 2022/10

N2 - Bike-sharing has shown its potential to improve irrational urban transportation structures and significantly reduce greenhouse gas emissions. This paper thus established a computation model to assess the greenhouse gas emission (GGE) reduction through bike-sharing based on the life cycle assessment (LCA) theory. Data collected from Shanghai, China, is selected for a case study to demonstrate and validate the model. Results indicate that promoting bike-sharing can significantly reduce the life cycle GGE (LCGGE) in the transportation sector. Findings from this study highlight the environmental benefits of bike-sharing, which provide valuable references for improving urban transportation systems and developing sustainable cities.

AB - Bike-sharing has shown its potential to improve irrational urban transportation structures and significantly reduce greenhouse gas emissions. This paper thus established a computation model to assess the greenhouse gas emission (GGE) reduction through bike-sharing based on the life cycle assessment (LCA) theory. Data collected from Shanghai, China, is selected for a case study to demonstrate and validate the model. Results indicate that promoting bike-sharing can significantly reduce the life cycle GGE (LCGGE) in the transportation sector. Findings from this study highlight the environmental benefits of bike-sharing, which provide valuable references for improving urban transportation systems and developing sustainable cities.

KW - Life cycle assessment

KW - Bike-sharing

KW - Greenhouse gas emission reduction

KW - Urban transportation system

KW - Sustainable cities

U2 - 10.1016/j.seta.2022.102789

DO - 10.1016/j.seta.2022.102789

M3 - Article

SN - 2213-1388

VL - 53

JO - Sustainable Energy Technologies and Assessments

JF - Sustainable Energy Technologies and Assessments

M1 - 102789

ER -

Life cycle assessment of greenhouse gas emission reduction through bike-sharing for sustainable cities

Abstract

Keywords

UN SDGs

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