A Science-Policy Framework for a Green Economic Recovery After the COVID-19 Pandemic

Zachariadis, Theodoros; Giannakis, Elias; Taliotis, Constantinos; Καρμέλλος, Μάριος; Fylaktos, Nestor; Howells, Mark; Blyth, William; Hallegatte, Stéphane

doi:10.21203/rs.3.rs-137855/v1

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…The study's findings suggested that health protocols and automation should be included in policy design as drivers for supply chain sustainability. In a post-pandemic setting, Zachariadis et al (2021) proposed a comprehensive model for a green economic recovery that is tied to long-term sustainability goals. The findings of the study emphasize the trade-off among environmental and economic objectives.…”

Section: Effects Of Covid-19 On Freight Transportationmentioning

confidence: 99%

An empirical analysis of freight mode choice factors amid the COVID-19 outbreak

Shardeo

Madaan

Chan

2022

IMDS

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PurposeThe COVID-19 has affected the whole world and forced countries to impose lockdowns and restrict travel and transportation. This was followed by different countries formulating different policies, and when transportation resumed, there were some restrictions. Such strategies forced transporters to rethink mode choice decision making for freight transportation. The purpose of this study is to identify and rank the factors affecting freight transport mode choice decisions considering the spread of COVID-19 outbreak.Design/methodology/approachInitially, the factors affecting the mode choice decisions for freight transportation amid the COVID-19 outbreak have been extracted from a literature survey and group discussion with experts. Further, this paper employs the integration of grey-Decision making trial and evaluation laboratory (DEMATEL) with fuzzy Best Worst Method to analyze the identified factors and their sub-factors. The model's robustness and feasibility were then tested using sensitivity analysis.FindingsThe findings of the study showed that Disaster Characteristics and Operations Factors are the most and least influential factors, respectively. Panic, Travel restrictions, Border restrictions, Severity, and Mortality rate are the top five ranked sub-factors. Panic, Compliance to Social distancing, and Passenger and Freight integration are among the new sub-factors proposed. In the current circumstances, these sub-factors are crucial and relevant. In addition, various recommendations are offered to improve transportation services while guaranteeing safety, such as promoting passenger and freight integration, lowering the panic level, developing dynamic rules based on region characteristics, and so on. The study's findings will help practitioners and politicians reformulate the existing transportation infrastructure in the event of disease outbreaks.Research limitations/implicationsThe demographic context of experts, is one of the study's limitations. Only experts from the Indian subcontinent were considered in this study. In addition, future study work can be based on a comparison of the outcomes from various Multi-Criteria Decision Making techniques.Originality/valueThe present research work differentiates itself through the analysis of mode choice factors considering the ongoing pandemic across the globe. The results emanated from the study can guide the concerned stakeholders to make better decisions.

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Section: Effects Of Covid-19 On Freight Transportationmentioning

confidence: 99%

An empirical analysis of freight mode choice factors amid the COVID-19 outbreak

Shardeo

Madaan

Chan

2022

IMDS

View full text Add to dashboard Cite

show abstract

“…The results from the study suggest policy development considering health protocols and automation as the drivers for long-term sustainability in SC. Also, Zachariadis et al (2021) proposed an integrated framework for a green economic recovery associated with the sustainability objectives in a post-pandemic environment. The results from the study highlight the trade-off between environmental and economic objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of recovery measures for sustainable freight transportation

Dwivedi

Shardeo

Patil

2021

JABS

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Purpose The governments of different nations implemented various policy measures in response to the COVID-19 outbreak. These policy measures had a negative impact towards freight transportation. Further, the shock and ripple effect on the other supply chain complicates the recovery process of freight transportation. The transformation of freight transportation in the post-COVID-19 world was reported to be unsustainable. Thus, emerged the requirement to formulate the recovery measures in the context of freight transportation. This study aims to identify and model the recovery measures for sustainable freight transportation (SFT). Design/methodology/approach In this study, 13 critical recovery measures are established from the literature and finalized with the help of an expert panel. An integrated Grey Decision-Making trial and evaluation laboratory is used to prioritize and establish the cause-effect relationships among the identified critical recovery measures. Further, sensitivity analysis is performed to ensure the robustness of the proposed model. Findings The present study reflects that Efficient traffic management (M13), sustainability focused policies (M2), sensitization of stakeholders (M10), financial support (M9) and adoption of 4 R practices (M12) are the top five critical recovery measures for SFT. The results highlight that the transport sector needs to retain the learning from the COVID-19 period to operate under low workforce availability. Further, the emerging economies are suggested to promote local manufacturing to reduce the lead time and risk of unavailability. The study findings reflect that attaining sustainability without considering the social dimension of sustainability is impossible. Also, the results shed light on the controllable and uncontrollable recovery measures. Originality/value The findings from the study would assist policymakers and practitioners in re-formulating the recovery measures for freight transportation considering the aspect of sustainability.

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