Modeling incentive strategies for landside integration in multimodal transport chains

Qu, Chenrui; Zeng, Qingcheng; Li, Kevin X.; Lin, Kun-Chin

doi:10.1016/j.tra.2020.04.012

Cited by 14 publications

(4 citation statements)

References 48 publications

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“…A significant bottleneck in port regionalization through multimodal transport chains is the expensive and timeconsuming inland transport. Therefore, considering shipper preferences, proposing a pricing model to describe a competitive market in seaports [25]. The Witness simulation software proposes a dynamic calculation method of multimodal transport line parameters.…”

Section: B Literature On Multimodal Transportmentioning

confidence: 99%

Multiagent-Based Modeling and Simulation of a Coal Multimodal Transport System

2022

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With the change in coal supply and demand, the dynamics of multiple transit nodes and the connection between different transportation modes make the Coal Multimodal Transportation System (CMTS) more complicated in the long-distance transportation of coal. Therefore, it is necessary to analyze the multimodal transportation nodes, build a coal multimodal transportation model, measure the network throughput through simulation experiments, and identify system bottlenecks. The CMTS is a complex nonlinear dynamic system with many participants with complex and uncertain links. Different transportation modes, operation links, and connection processes will affect system performance, and modeling and simulation technology effectively study complex dynamic systems. This paper takes the CMTS as the research object, uses agent-based modeling methods and Witness simulation software to analyze the composition and operation mechanism of CMTS, establishes the multiagent model of CMTS, and validates the model by a Witness simulation experiment of northern coal shipped to south. The simulation results indicate the capacity of the transport route and resource utilization of nodes in CMTS in case of different demand growth rates in the future. Based on the multiagent model and Witness simulation results, this paper provides practical support for constructing and applying the multimodal transport system model library and provides the basis for decision-making for the CMTS plan.

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Section: B Literature On Multimodal Transportmentioning

confidence: 99%

Multiagent-Based Modeling and Simulation of a Coal Multimodal Transport System

2022

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“…For example, Wang et al (2020) suggested that excessive subsidies to cruise lines will impose a heavy financial burden on the government, which is not conducive to developing the emerging cruise market. Qu et al (2020) indicated that the undifferentiated subsidy strategy adopted by local governments is unhelpful. Zhu et al (2021) argued that excessive subsidies in areas with high public transit accessibility can harm social welfare and transportation network companies' profits.…”

Section: Literature Reviewmentioning

confidence: 99%

“…2020 Hainan Province Cruise Industry Work Focus stated that “the relevant subsidy policy for cruise industry should be reformulated to achieve the recovery of the cruise market after the COVID-19 outbreak.” Policy incentives are crucial to the development of the emerging cruise market ( Qu et al, 2020 ; Wang et al, 2020 ). The concerns motivate us to study the following questions:…”

Section: Introductionmentioning

confidence: 99%

Optimal subsidy policies of the Chinese cruise market under the impact of COVID-19

et al. 2022

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“…Moreover, the central government actively expands the inland river network (e.g., Yangtze River and Zhu Jiang River) to realize river-sea combined transportation ( Witte et al, 2019 ). On the seaport and international shipping side, the port authorities make substantial investments in expanding port capacity and decrease port fees to attract international main shipping lines to choose Chinese ports as the main transshipment ports in the East Asian region ( Qu et al,2020 ). As a consequence, the transportation convenience from the Chinese mainland to overseas regions has been greatly improved, which has resulted in the rapid increase in Chinese foreign trade in recent years.…”

Section: Introductionmentioning

confidence: 99%