A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres

Kovač, Milovan; Tadić, Snežana; Krstić, Mladen; Veljović, Miloš

doi:10.3390/math11153347

Cited by 10 publications

(6 citation statements)

References 75 publications

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“…However, without systematic planning, logistics activities will have serious negative impacts on urban life and production and even ecology, thus scholars turned their attention to logistics planning [35,36]. Kin [37] proposed an approach to integrate logistics space into urban planning based on case studies of Paris and Rotterdam, and Kovac [38] further proposed a method for the conceptual planning of urban logistics. Sharma [39] put forward suggestions on the optimization of urban logistics spatial planning by evaluating and sorting relevant stakeholders of urban logistics.…”

Section: Logistics Facility and Spatial Planningmentioning

confidence: 99%

Evolution Model and Driving Mechanism of Urban Logistics Land: Evidence from the Yangtze River Delta

Cao,

Zhu,

Zhu

et al. 2024

Land

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Logistics land is the spatial carrier for the development of logistics enterprises. Its evolution mode and driving mechanism determine the level of high-quality development of the logistics industry, and serve as an important basis for urban planning and territorial spatial planning. This study introduced a Boston consulting group (BCG) matrix and geographically weighted regression (GWR) spatial econometric models to carry out empirical research on the Yangtze River Delta (YRD), in an effort to provide scientific information for evidence-based decision-making by governments and enterprises. The scale and ratio of logistics land (LLS and LLR) in the YRD showed significant spatial heterogeneity and autocorrelation, cities with large logistics land use converging from clusters to belts from 2000 to 2020, and agglomerations with high logistics land ratio (LLR) migrating from inland to coastal areas. Diversified models of logistics land evolution also emerged, such as high scale–high speed cities, low scale–low speed cities, high scale–low speed cities, and low scale–high speed cities. In addition, the driving mechanism of LLS and LLR was very complex, with a great difference in the intensity, nature and spatial effects of the influence of different factors. The inspiration from empirical case studies is urgent to revise the planning norms and clarify the LLS and LLR control standards for logistics land use. Meanwhile, the synergistic development target of the logistics industry in the new era is changing from the manufacturing industry to the commerce and trade industry; the establishment of planning zoning and the designing of differentiated management policies significantly improve the planning applicability.

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Section: Logistics Facility and Spatial Planningmentioning

confidence: 99%

Evolution Model and Driving Mechanism of Urban Logistics Land: Evidence from the Yangtze River Delta

Cao,

Zhu,

Zhu

et al. 2024

Land

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“…ADAM is known for minimizing rank reversal risks, maintaining stability across a range of criteria, and aligning with other MCDM methods (Krstić et al, 2023b). Despite its relative novelty, both the conventional and fuzzy versions of ADAM have proven effective in various contexts, such as in selecting city logistics concepts (Kovač et al, 2023), ranking circularity-enhancing strategies (Agnusdei et al, 2023), and choosing logistics service providers .…”

Section: Literature Reviewmentioning

confidence: 99%

Strategic Application of Industry 4.0 Technologies in Enhancing Intermodal Transport Terminal Efficiency

Krstić,

Tadić,

Brnjac

2023

JOTE

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In the realm of contemporary logistics, the criticality of intermodal terminals as central nodes for seamless cargo transitions between various transportation modes is well-recognized. This study focuses on the strategic integration of Industry 4.0 (I4.0) technologies to advance the operational efficiency of these terminals. A hybrid Multiple Criteria Decision Making (MCDM) methodology, amalgamating the Best-Worst Method (BWM) and Axial Distance based Aggregated Measurement (ADAM), is employed for a systematic evaluation. This approach facilitates the identification and prioritization of key I4.0 technologies. Findings of this study underscore the paramount importance of the Internet of Things (IoT), Artificial and Ambient Intelligence, and Autonomous and Automated Guided Vehicles in revolutionizing terminal efficiency. The efficacy of the proposed hybrid model is demonstrated in its capacity to generate practical, insightful recommendations for technology selection, thereby guiding stakeholders in making informed investments. These investments are projected to significantly enhance the operational capabilities of intermodal terminals and, by extension, the efficiency of the overall supply chain. The contribution of this study lies in its addressal of the existing research gap concerning the applicability and selection of I4.0 technologies in intermodal transport terminals (ITTs). It offers a novel, pragmatic framework for stakeholders within the logistics sector, aimed at facilitating the modernization and optimization of terminal operations. The insights and strategic directions provided herein are anticipated to be of substantial value to those endeavoring to navigate the complexities of terminal modernization in the era of I4.0.

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“…The difficulties faced by urban authorities in managing city logistics in a sustainable way are discussed in this study. The complex relationship between stakeholders involved in city logistics, including urban authorities, freight carriers, manufacturers, shippers, and consumers [26][27][28][29][30], adds to the challenges. Therefore, the role of urban authorities goes beyond just establishing measures for city logistics, such as traffic control and information sharing.…”

Section: Introductionmentioning

confidence: 99%

“…The digitalization of city logistics through Industry 4.0 technologies leads to integrated ESG-focused solutions, as reported by Russo and Comi [55]. CLIS plays a crucial role in enabling efficient urban freight movement by facilitating the exchange of real-time data and improving overall performance [2,4,26,27,45]. Therefore, it is possible to propose the following hypotheses.…”

mentioning

confidence: 99%

Enhancing City Logistics for Sustainable Development in Jordan: A Survey-Based Study

Alnsour,

Arabeyyat,

Al-Hyari

et al. 2023

Logistics

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Background: The global concern for the environment and sustainable development goals has led to a growing focus on the increasing activities of city logistics. This research study aims to evaluate the current state of city logistics within the framework of sustainable development and analyze the key factors that impact the efficient management of city logistics in Jordan. Methods: To achieve these research objectives, a quantitative approach utilizing a survey questionnaire was employed. The findings emphasize a significant disparity between current practices in city logistics and desired outcomes, indicating an urgent need for improvement in cost reduction, enhancement of quality of life, and promotion of sustainability. Results: The results reveal that the performance of urban authorities in managing city logistics is influenced by various factors, including regulatory inefficiencies, suboptimal human resource performance, deficiencies in information systems, and challenges related to coordination amongst stakeholders. Conclusions: Consequently, this paper puts forth actionable recommendations for improving city logistics management, which involve amending existing regulations, implementing comprehensive training programs for employees, strengthening infrastructure for information systems, and fostering robust communication channels between urban authorities and stakeholders.

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A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres

Cited by 10 publications

References 75 publications

Evolution Model and Driving Mechanism of Urban Logistics Land: Evidence from the Yangtze River Delta

Evolution Model and Driving Mechanism of Urban Logistics Land: Evidence from the Yangtze River Delta

Strategic Application of Industry 4.0 Technologies in Enhancing Intermodal Transport Terminal Efficiency

Enhancing City Logistics for Sustainable Development in Jordan: A Survey-Based Study

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