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![Figure 1. Inland freight transport volumes, based on EEA [3,4].](publication/366345159/figure/fig1/AS:11431281115154801@1674774841960/nland-freight-transport-volumes-based-on-EEA-3-4_Q320.jpg)
Transportation plays a significant role in the global economy and society and takes part in a lot of different processes such as mass transportation and the supply chain. Therefore, it is crucial to introduce modern technologies in this area of the economy in the context of Industry 4.0. The main scope of this study is to develop a model that suppo...
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... If the delivery speed of RADRs is increased to 15 km/h, the energy consumption of RADRs will be reduced by more than 40% compared to existing wheeled delivery robots and quadruped robots (Vepslinen, 2022). By evaluating the performance of the last-mile delivery of automated road delivery robots, drones, and smart bicycles, and comparing them with traditional truck delivery, it was found that in terms of safety, economy, delivery time, laws and regulations, environment and payload, Operating costs of automated road delivery robots are reduced by 60-74% (Kostrzewski et al., 2022). The joint delivery of autonomous vehicles and deliverers will greatly improve operational efficiency if the deliverer takes the autonomous vehicle and is only responsible for the delivery, the entire delivery completion time will be reduced by 0-33% if the time of looking for parking space is ignored, and the deliverer will save 30-77% when considering the non-zero parking time (Reed et al., 2022a, b). ...
As an innovative last-mile logistics delivery solution that can provide consumers with efficient and contactless delivery services, autonomous delivery vehicles (ADVs) have huge economic and environmental advantages. However, until recently, there has been relatively little research on consumer acceptance of ADVs for parcel delivery in China. Using the stimulus-organism-response (SOR) model as a research framework, this study explores the internal mechanisms by which internal and external stimuli (individual innovativeness and social influence) influence organism (perceived relative advantages, trust in technology, and delivery risk) and thus consumer response (intention to adopt ADVs). Data were collected through an online questionnaire survey platform from China and analyzed using structural equation models. The results show that consumers’ individual innovativeness and social influence significantly affect perceived relative advantage, technology trust and perceived risk. In addition, perceived relative advantage, trust in technology, and delivery risk affect consumers’ intention to adopt ADVs.
... Well-managed transport enterprises can adapt to changing market conditions, such as fluctuations in demand or fuel prices, ensuring that services remain competitive (Al Sharyani & Ullah, 2024). Additionally, implementing modern technologies, such as real-time tracking systems and data analytics, allows for better decision-making and quicker responses to disruptions, further enhancing service reliability (Holovina, 2023;Kostrzewski et al., 2022). Ultimately, efficient management in transport enterprises is vital for maintaining a competitive edge in a fast-paced and dynamic industry. ...
This research examines the modern trends and challenges in enhancing the efficiency of management in transport enterprises, with a focus on the Ukrainian perspective and the impact of the ongoing war. The study highlights key trends such as digital transformation, sustainability efforts, and the increasing use of data-driven decision-making, which are reshaping the transport industry in Ukraine. The integration of technologies like AI-based route optimization and real-time tracking has become important in overcoming operational challenges caused by the war, including disrupted supply chains, damaged infrastructure, and heightened security risks. These innovations are enabling transport enterprises to minimize costs, optimize routes, and ensure service continuity despite the unstable environment. This paper investigates how Ukrainian transport enterprises are adapting to these modern trends while addressing the complex challenges posed by the war. It emphasizes the need for a flexible and resilient management approach that leverages digital tools, sustainability practices, and data analytics to enhance operational efficiency. The findings highlight that a systemic approach, supported by innovation and adaptability, is essential for overcoming the impact of war and ensuring the long-term viability of transport sector of Ukraine.
... Jose et al. [69] assessed the feasibility of implementing I4.0 technologies in LML processes. Kostrzewski et al. [6] performed a comparative analysis of modern and conventional last-mile transport technologies. Ferrari et al. [2] analyzed socio-economic factors influencing the investments and implementing of I4.0 technologies in LML. ...
... Abbreviation Fu y Scale "None" "N" (1, 1, 2) "Very low" "VL" (1, 2, 3) "Low" "L" (2, 3, 4) "Fairly low" "FL" (3, 4, 5) "Medium" "M" (4,5,6) "Fairly high" "FH" (5, 6, 7) "High" "H" (6, 7, 8) "Very high" "VH" (7,8,9) "Extremely high" "EH" (8,9,10) Step 4: The ANP method is used to determine the weights of the criteria. First, it is determined whether there is mutual dependence between criteria, both within criteria groups and between them. ...
... For easier notation, the evaluation labels , are shown as . The arithmetic mean of the evaluations of all experts is equal (5.83, 6.83, 7.83), so the evaluation (6,7,8), i.e., "High" (H), was taken as the unit evaluation of the entire focus group. The arithmetic mean of city logistics/LML experts evaluations (6.27, 7.27, 8.27) is slightly higher, and the arithmetic mean of I4.0 experts evaluations is slightly lower (5.40, ...
The complexity, increasing flow number and volumes, and challenges of last-mile logistics (LML) motivate or compel companies, authorities, and the entire community to think about ways to increase efficiency, reliability, and profits, reduce costs, reduce negative environmental impacts, etc. These objectives can be met by applying Industry 4.0 (I4.0) technologies, but the key question is which one. To solve this task, this paper used an innovative method that combines the fuzzy analytic network process (fuzzy ANP) and the fuzzy axial-distance-based aggregated measurement (fuzzy ADAM) method. The first was used for determining criteria weights and the second for selecting the best variant. The best solution is e/m-marketplaces, followed by cloud-computing-supported management and control systems and blockchain. These results indicate that widely adopted and implemented technologies are suitable for last-mile logistics. Newer technologies already producing significant results have serious potential for further development in this area. The main novelties and contributions of this paper are the definition of a new methodology based on multi-criteria decision-making (MCDM) methods, as well as its application for ranking I4.0 technologies for LML.
... In addition, they reduce the likelihood of unscheduled downtime by allowing predictive maintenance. Comprehensive analytics facilitates the making of well-informed strategic decisions (Oladimeji et al. 2023;Cao et al. 2023;Kostrzewski et al. 2022). ...
... Finally, it is essential to make these systems more eco-friendly and secure from cyberattacks, such as the use of electric trucks. All of this highlights the potential for these systems to adapt and expand to meet the needs of different businesses (Cao et al. 2023;Kostrzewski et al. 2022;Oladimeji et al. 2023). ...
... Logistics 4.0 initiatives may include incorporating autonomous vehicles and unmanned aerial vehicles (UAVs) into transportation systems, which could potentially revolutionize lastmile delivery operations. Implementing autonomous trucks and UAVs could improve speed, reduce expenses, and address logistic issues in congested urban areas (Oladimeji et al. 2023;Kostrzewski et al. 2022). ...
This thorough literature analysis examines the relationship between Industry 4.0 and Logistics 4.0, covering technical integration, obstacles, and potential future developments. The profound integration of cutting-edge technologies that characterize the Fourth Industrial Revolution (Industry 4.0) has transformed logistics and manufacturing. An expansion of Industry 4.0, Logistics 4.0 strongly emphasizes data security, interconnection, and efficiency in operating smooth supply chain management. The literature review provides a thorough overview of the landscape by conducting bibliometric analyses, comprehensive evaluations of studies on Industry 4.0 adoption in various settings, and explorations of implications. Future directions are highlighted, such as the integration of driverless delivery vehicles, enhanced predictive analytics for operations, and sustainable practices. Key technologies, difficulties, and success factors are explored descriptively. Industry 4.0 and Logistics 4.0 combine, creating opportunities and challenges requiring nuanced approaches and in-depth literature reviews to navigate the implementation process successfully.
... Last-mile drone logistics contribute 25-30% of greenhouse gas emissions in the transportation sector [69]. Cargo drones have the capacity to reduce energy consumption by 94% and 31% and GHG emissions by 84% and 29% per package delivered by diesel trucks and electric vans, respectively [70]. For light-weighted parcels weighing less than five pounds, the energy required to power drones is 94% less than the energy consumed by delivery trucks [71]. ...
Currently, there is a growing consensus that the use of more sustainable urban freight transportation has the potential to offer major energy and efficiency benefits which can be achieved through the appropriate combination of cargo bikes and the integration of drones into the urban logistics system. This study presents the results of a stepwise regression analysis that examines the role, benefits, and impact of electric vehicles such as e-bikes, cargo bikes, and drones for intermodal freight transportation in five Greek cities to support the green logistics paradigm. The results show that between routes of almost equal length, the most bicycle-friendly routes, such as routes along pedestrian areas or residential streets, should be avoided, as they reduce delivery speed and increase delivery costs in terms of energy and time expenditure. In addition, priority roads, which usually have higher traffic speeds and more trucks, are preferred by cyclists due to the quality of the road surface, even though the feeling of safety is lower on such roads. Finally, regarding drones, energy consumption is relatively low in the 0–5 mph and 6–10 mph wind speed ranges, indicating efficient energy use. In the 11–15 mph and 16–20 mph wind speed ranges, energy efficiency is significantly lower than the battery capacity, indicating that the cargo drone exhibits excessive energy consumption under these conditions.
... The most prevalent technologies in last-mile solutions include vehicle monitoring, routing, Transport Management Systems (TMS), Radio Frequency Identifiers (RFID), IoT sensors, machine learning, and drone/robotic delivery (Kostrzewski et al., 2022). The latter three, although holding immense potential, are still underutilized in the Brazilian logistics sector, representing untapped opportunities. ...
The delivery sector, already on an upward trend prior to the Covid-19 pandemic, experienced a significant boost in demand for its services during the pandemic. However, the most expensive aspect for companies in this domain is the 'last mile' delivery costs, which can account for up to 45% of total logistics expenses. In light of this, our paper presents a study aiming to leverage this market trend to reduce company costs. We propose a hybrid model combining trucks and drones for last-mile delivery and conduct a market analysis for a company interested in developing this model. Drone deliveries are anticipated to grow at an annual rate of approximately 45%, outpacing the overall sector. This market outlook presents a compelling opportunity for entrepreneurs: the market is nascent, with a noticeable upward trend in both demand and investment. The truck-drone hybrid model, being up to 70% faster and 60% less expensive compared to traditional methods, offers dual benefits: enhanced customer satisfaction with lower expenditure, and reduced operational costs for companies while improving service quality. Despite pending regulatory challenges, the prevailing trend in technology advancements and major retailers' interest suggests a favorable outlook for legal approvals. As a novel technology, it naturally encounters some skepticism. Furthermore, drone usage has positive environmental implications, whether through alternative energy sources or traffic reduction, aligning well with the current ESG-driven market trends.
... The social dimension considers criteria such as public safety, occupational health, public health, employment opportunities, and road use. In environmental terms, criteria such as environmental, noise, and visual pollution, as well as compliance with current legislation, are evaluated [38,47,48]. Lastly, criteria such as service availability, flexibility, and urban impact are considered in the technical aspect [38]. ...
... Means and type of transportation: Involve means of transportation and typology of vehicles used, such as the use of cargo trams and electric vehicles [37,69,76], choice of environmentally friendly vehicle types for urban logistics [43,45,46,53,58,76,80,81], evaluation of light commercial vehicles from different manufacturers [82], bicycle distribution [38,[46][47][48]52,56,58,69,83], cargo bike configuration alternatives [84], non-motorized vehicles [59], drone deliveries [38,47,48,[56][57][58]69], rail and land shared transport in urban areas [58,66], intermodal distribution [45,57,58], self-driving delivery vehicles [48,69], freight forwarding in urban public transportation [38,56,67], use of electric freight vehicles [77,85], specialized aircraft for freight delivery [57,58], river transport [58]. ...
... Means and type of transportation: Involve means of transportation and typology of vehicles used, such as the use of cargo trams and electric vehicles [37,69,76], choice of environmentally friendly vehicle types for urban logistics [43,45,46,53,58,76,80,81], evaluation of light commercial vehicles from different manufacturers [82], bicycle distribution [38,[46][47][48]52,56,58,69,83], cargo bike configuration alternatives [84], non-motorized vehicles [59], drone deliveries [38,47,48,[56][57][58]69], rail and land shared transport in urban areas [58,66], intermodal distribution [45,57,58], self-driving delivery vehicles [48,69], freight forwarding in urban public transportation [38,56,67], use of electric freight vehicles [77,85], specialized aircraft for freight delivery [57,58], river transport [58]. ...
The tension between city logistics and its impact on sustainable urban development is evident. Often, local environmental decisions overlook the effects on urban freight logistics, lacking consideration for stakeholders. To address this, utilizing multi-criteria analysis becomes relevant for informed urban planning and management decision making. In this context, this paper conducts a systematic literature review from 2012 to 2022, focused on implementing the multi-criteria analysis methodology to evaluate alternatives for solutions in urban freight logistics. The PRISMA tool was used in the review to select publications and categorize the information obtained to address the research questions. Results display the most prominent authors and publications, authors’ country affiliations, annual publication frequency, research objectives, used frameworks, involved actors, defined evaluation criteria, types of alternatives for solutions considered, and MCDM methods applied. The main finding is that the most commonly used MCDM methods were AHP hybrid followed by MAMCA. In addition, no clear correlation between the pursued objectives and the MCDM methods employed by the researchers is identified. It is important to note that all publications with the highest number of citations use fuzzy methods in their analyses.
... This necessity calls for examining the factors which reflect relevant psychological dispositions but also easy to measure as part of conventional national surveys. Including questions about attitudes themselves do not seem to be a practical solution as, depending on the type and nature of the service, a wide variety of attitudes (e.g., pro-technology, pro-transit, pro-environmental attitude, human interaction [25], optimisation transport [26][27][28], last-mile [29], transport planning [30][31][32], city transport service [33,34] etc.) have been used and can be used in the literature [35][36][37][38]. MaaS is a realization of the decoupling theory in transportation and tourism. ...
Article on the use of information technology platforms for transportation systems integration (MaaS). The purpose is to analyze and evaluate the functionality of MaaS using the example of Basel as a city and region. The methods are systems analysis and a case study. The result is an analysis of the use of MaaS systems at four different levels as interstate, national, regional and city cooperation.
... The transport sector may profit from applying Industry 4.0 not only in the mentioned areas but also in profitability [8]. It is crucial to introduce these modern technologies in this area of the economy [9,10]. Table 1 provides a summary of the last incentives for the issue. ...
Despite the COVID-19 pandemic, the current era offers the ultimate possibility for prosperous corporate life, especially in the transport sector. Industry 4.0 covers artificial intelligence, big data, or industrial IoT, and thus spatial cognition algorithms, traffic flow prediction, autonomous vehicles, and smart sustainable mobility are not far away. The mentioned tools have already been implemented by enterprises in emerging countries. This exploration focused on transportation within the V4 region from 2016–2021. This article aims to confirm the positive sequel of applying Industry 4.0 to chosen indicators of profitability. The positive, negative, or no shift in the development of 534 businesses was based on Pettitt’s test. The Pearson chi-square test disclosed the significant dependency between Industry 4.0 and shifts in profitability ratios. Then, more than 25% of enterprises involved in Industry 4.0 had positive shifts in ROA, ROC, ROS, and ROR. The research proved not only its balanced effect but also its augmented force through the z-test of proportion. This investigation may provide multiple proofs for connected sectors with transportation to adapt the tools of Industry 4.0 and deliver the call for the governments in the V4 region to make this tool more achievable.
... The increasing number of delivery services eases the demand and the pace of consumption. Autonomous delivery robots, drones, e-fueled vans, or smart bikesthe logistics industry is full of technological innovations which often aim at making fast deliveries to time-pressed individuals and households, but also cheaper and more eco-friendly deliveries (Kostrzewski et al., 2022). ...
The purpose of this study is to explore the concept of social acceleration by examining how cities are trying to speed up, maintain or slow down the pace of societal change. Through studies of cycle logistics policies and actions in cities in Denmark, Norway, the UK, the Netherlands, and Germany, we show how these balance between acting as pacemakers and pace-takers, as well as what the consequences of this balancing act are for enacting cycle logistics. By using acceleration as an overall theoretical concept, we show how transport planners, mobility policy advisors, and digitalization and innovation strategists understand and position themselves when setting the pace for cycle logistics as part of a broader transition toward sustainable transport. We conclude by discussing the implications of this for the general understanding of acceleration in transformations to urban sustainability.
