Collaborative planning for intermodal transport with eco-label preferences

Zhang, Yimeng; Heinold, Arne; Meisel, Frank; Negenborn, Rudy R.; Atasoy, Bilge

doi:10.1016/j.trd.2022.103470

Cited by 11 publications

(4 citation statements)

References 50 publications

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“…The rationale is that simple policies could overcome some of the barriers and implementation issues identified with cooperation based on joint optimization (Pan et al, 2019). Compared to recent advances in decentralized policies for cooperative multi-modal transportation (Di Febbraro et al, 2016;Zhang et al, 2022) the share-first-plan-second policy proposed in this paper emphasizes simplicity, real-time adaptability, and operational flexibility. We believe that our results provide some indications that simple cooperative policies could perform well in practice.…”

Section: Discussionmentioning

confidence: 99%

“…They propose a modeling framework for cooperative transportation oriented towards a distributed and cooperative optimization process involving negotiation among multiple actors. More recently, Zhang et al (2022) developed an approach that echoes our aim for more sustainable transport operations while concentrating on strategic collaborative planning among carriers. Compared to these approaches, our share-firstplan-second policy emphasizes simplicity, real-time adaptability, and operational flexibility.…”

Section: Literature Reviewmentioning

confidence: 99%

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A share-first-plan-second policy for efficient cooperation in a multi-modal transportation corridor

Schrotenboer,

Buijs,

Van der Heide

et al. 2023

JSCMS

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Cooperation in transportation networks has been a cornerstone of policies towards more sustainable transportation, aiming to improve the modal split and increase the fill rates of transportation resources. Effective cooperation between transportation firms requires some form of joint planning, which is often challenging to implement from an IT perspective and difficult to sustain due to the reliance on advanced planning software. In this paper, we present a simple but effective policy for cooperative transportation that does not require a complex joint optimization of operations. In this share-first-plan-second policy, cooperating firms first develop a cyclic schedule for a fleet of shared transportation resources and then assign their shipments to the transportation resources in real time. The policy performs nearly as well as a jointly optimized planning of operations while not requiring advanced IT systems and planning software. Finally, the share-first-plan-second policy exhibits robustness against deviations from planned transport operations, enhancing its practical applicability.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A share-first-plan-second policy for efficient cooperation in a multi-modal transportation corridor

Schrotenboer,

Buijs,

Van der Heide

et al. 2023

JSCMS

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“…For example, the region could effectively promote the multi-modal transportation of water-rail and rail-road to reduce CO 2 emissions caused by the transportation sector (Heinold and Meisel, 2018). The establishment of cooperative alliances, taking into account the eco-label preferences of logistics service providers, can facilitate the advancement of intermodal transport (Zhang et al ., 2022). This cooperative approach fosters synergistic initiatives aimed at enhancing the sustainability and efficiency of transportation in the midstream YEB, aligning with the imperative to reduce the ecological footprint.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Measuring environmental efficiency in transportation sector based on a meta-frontier SBM approach: focusing on the Yangtze River Economic Belt (YEB) and Beijing–Tianjin–Hebei (JingJinJi)

Na,

Wang,

Lim

2024

JILT

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PurposeThe purpose of this study is to analyze the environmental efficiency level and trend of the transportation sector in the upper–mid–downstream of the Yangtze River Economic Belt and the JingJinJi region in China and assess the effectiveness of policies for protecting the low-carbon environment.Design/methodology/approachThis study uses the meta-frontier slack-based measure (SBM) approach to evaluate environmental efficiency, which targets and classifies specific regions into regional groups. First, this study employs the SBM with the undesirable outputs to construct the environmental efficiency measurement models of the four regions under the meta-frontier and group frontiers, respectively. Then, this study uses the technology gap ratio to evaluate the gap between the group frontier and the meta-frontier.FindingsThe analysis reveals several key findings: (1) the JingJinJi region and the downstream of the YEB had achieved the overall optimal production technology in transportation than the other two regions; (2) significant technology gaps in environmental efficiency were observed among these four regions in China; and (3) the downstream region of the YEB exhibited the lowest levels of energy consumption and excessive CO2 emissions.Originality/valueTo evaluate the differences in environmental efficiency resulting from regions and technological gaps in transportation, this study employs the meta-frontier model, which overcomes the limitation of traditional environmental efficiency methods. Furthermore, in the practical, the study provides the advantage of observing the disparities in transportation efficiency performed by the Yangtze River Economic Belt and the Beijing–Tianjin–Hebei regions.

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“…Nowadays, most literature pays attention to the optimization of the intermodal transport system as various decision problems demand the operation research techniques [11] . Zhang et al [12] establish a collaborative planning model considering the collaborations among carriers and propose an Adaptive Large Neighborhood Search heuristic method [12] . Abbassi et al [13] suggest a robust optimization model for dealing with uncertainties of using costs, transport costs and capacities of terminals [13] .…”

Section: Related Literaturementioning

confidence: 99%

Coordination of Intermodal Transport in Yangtze River Economic Belt in China Based on the Fourth-Party Logistics

Chen¹,

Zheng²,

Zhao³

2023

Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Chan

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With the deepening of economic integration, intermodal transport has become a central issue worldwide in recent years. China also pays great attention to this issue and promotes the development of intermodal transport in Yangtze River Economic Belt in China. However, the coordination of intermodal transport is a multi-sector, multi-agent and multi-mode process and some problems emerge in the development of intermodal transport in Yangtze River Economic Belt. This paper aims to provide some advice for the improvement of intermodal transport in this region. This study first identifies the barriers to the development of intermodal transport from the aspects of policies, actors, terminals, transshipment services, and information systems. In addition, this study proposes that 4PL can promote standardization, coordination, utilization and innovation of information in the intermodal chain. Furthermore, this paper tries to design the 4PL platform and makes suggestions for the development of the 4PL platform in Yangtze River Economic Belt. Meanwhile, the Chinese government is required to enact some supporting policies to encourage 4PL to play the role of coordinator in the intermodal chain.

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Collaborative planning for intermodal transport with eco-label preferences

Cited by 11 publications

References 50 publications

A share-first-plan-second policy for efficient cooperation in a multi-modal transportation corridor

A share-first-plan-second policy for efficient cooperation in a multi-modal transportation corridor

Measuring environmental efficiency in transportation sector based on a meta-frontier SBM approach: focusing on the Yangtze River Economic Belt (YEB) and Beijing–Tianjin–Hebei (JingJinJi)

Coordination of Intermodal Transport in Yangtze River Economic Belt in China Based on the Fourth-Party Logistics

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