Identification of Risk Factors for Bus Operation Based on Bayesian Network DOI Creative Commons
Hongyi Li, Shijun Yu, Shejun Deng

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9602 - 9602

Published: Oct. 21, 2024

Public transit has been continuously developing because of advocacy for low-carbon living, and concerns about its safety have gained prominence. The various factors that constitute the bus operating environment are extremely complex. Although existing research on operational security is crucial, previous studies often fail to fully represent this complexity. In study, a novel method was proposed identify risk operations based Bayesian network. Our monitoring data from public system. First, Tabu Search algorithm applied optimal structure network with Information Criterion. Second, parameters were calculated using Parameter Estimation. Finally, reasoning conducted through prediction diagnosis in Additionally, most probable explanation operation spatial identified. results indicated such as speed, traffic volume, isolation measures, intersections, stops, lanes had significant effect operation. conclusion, study findings can help avert dangers support decision-making management metropolitan areas enhance daily safety.

Language: Английский

Enhancing carbon neutral supply chain performance: can green logistics and pressure from supply chain stakeholders make any differences? DOI
Francis Kamewor Tetteh, Kwame Owusu Kwateng, John Victor Mensah

et al.

Sustainability Accounting Management and Policy Journal, Journal Year: 2024, Volume and Issue: 16(2), P. 521 - 551

Published: Dec. 13, 2024

Purpose With limited empirical evidence, prior studies have proposed that green practices can be leveraged to enhance carbon neutrality. This study draws on the contingent natural resource-based view (NRBV) theorize and validate how pressure from supply chain (SC) stakeholders could amplify effect of logistics (GLPs) carbon-neutral performance (CNSCP) among firms in developing countries. Specifically, this contends high levels pressures (SCPs) (customers suppliers) influence GLPs CNSCP. Design/methodology/approach An integrated model was tested using survey data gathered 208 managers Ghana. SPSS 23 structural equation modeling were used for analyses. Findings showed all five dimensions (transportation, warehousing, packaging distribution, information sharing sustainable waste management) significantly also found varying interactive effects SCPs link between (green transportation, distribution) CNSCP, such different exert at SCPs. Practical implications offers fresh insights into leverage achieve enhanced benefits form The outcome a comprehensive understanding GLPs-CNSCP while shedding light manage SCP drive through GLPs. Social contributes policymakers enhancing decarbonization global SCs practices. Originality/value To best authors’ knowledge, is first empirically identified demonstrated these uniquely as opposed previous examined one-dimensional perspective. expands borders literature by theorizing validating necessary conditions In essence, novelty present lies integration NRBV stakeholder theories unearth mechanism optimizing GLP-CNSCP relationship, which rare literature.

Language: Английский

Citations

6
Driving net zero emissions through green finance, green logistics, and corporate social responsibility: findings from PLS-SEM approach DOI Creative Commons
Md. Mominur Rahman, Md. Farijul Islam,

Tasneem Islam Dyuti

et al.

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Nov. 26, 2024

With global pressure mounting on industries to curb carbon emissions, companies are increasingly exploring sustainable business practices meet environmental targets. The pharmaceutical and chemical in Bangladesh, being significant contributors pollution, must adopt green strategies align with climate goals. This research examines the impact of financing logistics achieving net zero a focus these critical industries. study utilizes cross-sectional design, collecting primary data through self-administered questionnaire survey. Simple random sampling was employed select 279 participants, including finance controllers, chief financial officers, management accountants, departmental managers, senior officers from targeted Data analysis conducted using "Partial Least Squares-Structural Equation Modeling (PLS-SEM)." findings indicate that plays role driving strong positive effects "Corporate Social Responsibility (CSR)" activities related customers, employees, community. Green also positively influences emissions enhances CSR efforts, particularly community engagement. These results underscore importance adopting achieve provides practical insights for aiming improve their outcomes performance initiatives. contributes literature by offering novel examination initiatives both Bangladesh's industries, utilizing PLS-SEM comprehensive analysis.

Language: Английский

Citations

4
Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: A novel decomposition framework DOI
Qunxi Gong,

Gengxuan Guo

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122931 - 122931

Published: Oct. 15, 2024

Language: Английский

Citations

3
Evaluation of public road transportation efficiency using cross-efficiency model based on a new BWM-ER aggregation method DOI
S.S. Ganji, Rasul Jahed

Case Studies on Transport Policy, Journal Year: 2025, Volume and Issue: unknown, P. 101468 - 101468

Published: May 1, 2025

Language: Английский

Citations

0
Towards advanced decision-making support for shipping safety: A functional connectivity analysis DOI Creative Commons
Shiqi Fan, Stephen H. Fairclough, Abdul Khalique

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 193, P. 103861 - 103861

Published: Nov. 17, 2024

Language: Английский

Citations

2
Identification of Risk Factors for Bus Operation Based on Bayesian Network DOI Creative Commons
Hongyi Li, Shijun Yu, Shejun Deng

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9602 - 9602

Published: Oct. 21, 2024

Public transit has been continuously developing because of advocacy for low-carbon living, and concerns about its safety have gained prominence. The various factors that constitute the bus operating environment are extremely complex. Although existing research on operational security is crucial, previous studies often fail to fully represent this complexity. In study, a novel method was proposed identify risk operations based Bayesian network. Our monitoring data from public system. First, Tabu Search algorithm applied optimal structure network with Information Criterion. Second, parameters were calculated using Parameter Estimation. Finally, reasoning conducted through prediction diagnosis in Additionally, most probable explanation operation spatial identified. results indicated such as speed, traffic volume, isolation measures, intersections, stops, lanes had significant effect operation. conclusion, study findings can help avert dangers support decision-making management metropolitan areas enhance daily safety.

Language: Английский

Citations

0