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PurposeIn past years, the global supply chain has witnessed devastating effects of coronavirus (COVID-19) disease. However, the COVID-19 pandemic has renewed the interest of the Sustainable Supply Chain (SSC) stakeholders on sustainability. The stakeholders are now rethinking their business processes and strategy to make them sustainable. In this context, the relevant literature is required to support emerging markets to formulate sustainability-focussed strategies. The purpose of this study is to provide a comprehensive analysis of potential antecedents that leads towards sustainable development of freight transportation in emerging markets.Design/methodology/approachInitially, the antecedents of the Sustainable Freight Transport (SFT) system are derived from the literature survey followed by verification from the experts. Then, the potential antecedents are categorized under four (social, organizational, operational and environmental) broad categories. Afterwards, a Neutrosophic Analytic Network Process (N-ANP) method is employed to obtain the priority weights of the identified potential antecedents.FindingsThe paper identified and ranked 17 antecedents of the SFT system. According to the study's findings, the top three antecedents of SFT are "the presence of a multimodal transportation system,” "circularity in SFT” and "traffic congestion management”. The results from the study advocate the promotion of existing multi-modal transport facilities which is promising to achieve sustainability. The results suggested the adoption of the digital twin to manage the transport operations.Originality/valueThis study sheds light on how to achieve sustainability in the freight transportation system post-COVID era highlighting the potential antecedents. The study's findings will assist practitioners in developing SFT strategies in the face of such pandemics in future.
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Freight transportation in urban areas represents an essential activity from the standpoint of economic development;in recent years, the spread of e-commerce (also accelerated by COVID-19) has contributed to increasing the demand for freight distribution over short distances. In most cities, the approaches and measures are often based on new technologies. Nevertheless, today there are contexts wherein delivery operations represent critical tasks to be solved. Furthermore, low accessibility areas, such as small islands, present further problems due to their exclusive dependence on maritime links (and often low-reliability services). This paper tackles this topic, formulating and solving a distribution problem by linking shipping services with last-mile distribution operated by means of an automatic delivery service (parcel lockers). A test application is proposed by considering the small island of Lipari in the archipelago of the Aeolian islands (Sicily, Southern Italy). The results show that such a type of service could reduce the user's waiting time when compared to traditional home deliveries.
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The COVID-19 pandemic has changed lifestyles, with consequent impacts on urban freight movements. This paper analyzes the impacts of COVID-19 on urban deliveries in the Belo Horizonte Metropolitan Region, Brazil. The Lee index and the Local Indicator of Spatial Association were calculated using data on urban deliveries (retail and home deliveries) and COVID-19 cases. The results confirmed the negative impacts on retail deliveries and the positive impacts on home deliveries. The spatial analysis demonstrated that the most interconnected cities presented more similar patterns. At the beginning of the pandemic, consumers were considerably concerned about the virus spread, and the changes in consumption behavior were slow. The findings suggest the importance of alternative strategies to traditional retail. In addition, the local infrastructure should adapt to the increased demand for home deliveries during pandemics.
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International freight transportation experienced significant disruptions during the COVID-19 pandemic. The impact of the pandemic and related government restriction measures on international freight transportation is worth analysing for the development of transportation policies and practices in the post-pandemic period, but has received limited attention. To fill the gap, this study applies structural equation models to analyze the impact of the COVID-19 pandemic on the international transportation market and the relationships among the pandemic, government restriction measures, and international transportation market. The impact is also differentiated for different modes of transportation. Results confirm that both demand and supply of interna-tional transportation services have been negatively affected by the first wave of the pandemic, with sea trans-portation being more affected by the reduction of demand and air transportation more by the supply volatility. The government restriction measures are found to play a mediation role, in the way that the impact of the pandemic on the supply of transportation service is suppressed through the government restriction measures. Our findings provide important guidance for transportation industry players and governments in their decision-making process facing with global market shocks such as a pandemic.
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Increasing the level of containerization in Russia is a source of competitiveness growth, since it focuses on increasing the efficiency of nationally oriented logistics and integration into global logistics chains, ensures transparency and productivity of the transport and logistics sector. The negative consequences caused by COVID-19 have affected freight transportation by all modes of transport. The reaction of carriers to the existing challenges largely determines the trajectory of development not only of railway container transportation, but also the format of the development of Russian cargo traffic for the coming years or even decades. The purpose of this study is to develop measures to increase the mobility of container cargo turnover on Russian railways and indicative designation of possible effects from their implementation. We prove that the development of infrastructure, stabilization of tariff policy, optimization of operational activities, expansion of the digital platform significantly affects the qualitative and quantitative development of rail container transportation based on mobility and logistics efficiency. The methodology of the study is based on the analysis of the target indicators of containerization of Russian railways for 2010–2020, the main product line of container transportation and competitors of the railway by means of transport. As a result of the study, trends in the growth of the share of container cargo turn-over on the Russian railway network are determined, the support of digital tools is justified in order to increase the mobility of container cargo turnover, a set of mechanisms for supporting and developing railway container transportation based on mobility and logistics efficiency is proposed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Globally, the transportation and logistics sector is facing economic disruptions owing to geopolitical tensions and post-COVID-19 global economic downturns. This disruption places more pressure on transportation companies to review their work methods and processes. Coupling data and model-driven approaches is essential for developing effective and efficient resilience strategies. To address this issue, this study provides an overview of the appearance of simulation in business analytics. However, a thorough review of the literature based on the PRISMA search process allowed us to identify that none of the previous studies could highlight the role or evaluate the hybridization between business analytics and simulation and their joint use in freight transportation. Moreover, this study proposes a collaborative framework based on the intuitionistic fuzzy analytic hierarchy process (IF-AHP) technique to select a business analytics-enabled simulation architecture. This study contributes to the freight transport sector by setting up an updated list of criteria and sub-criteria necessary for business analytics evaluation and enriches the literature by applying the IF-AHP technique to a concrete case of implementing data analytics and simulation. This study also suggests future directions to enrich the academic literature and offers insights to improve the framework for other use cases. © 2023 Elsevier Ltd
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Smart cities need energy-efficient and low-emission transportation for people and goods. Most studies focus on sustainable urban-transportation systems for passengers. Freight transportation in cities has increased significantly during the COVID-19 pandemic, leading to greenhouse gases emissions and negative externalities, such as traffic congestion. The purpose of this paper is to identify through a systematic literature review which innovations (hardware and software) applied by logistics service providers (LSPs) in sustainable urban freight (SUF) are suitable to support the transition to energy-efficient smart cities. We propose to classify the existing innovations in last-mile delivery for SUF into categories: (1) urban freight consolidation and/or trans-shipment;(2) the Consumer as a Service Provider (CaaSP);(3) choice of transportation modes. We introduce the concept of CaaSP as an innovative solution in last-mile delivery (LMD), where customers take over some transport operations with the use of smart technologies, and thus reduce the energy demand. We consider the modes of transportation, such as: drones, autonomous delivery robots, autonomous vehicles, cargo bikes (including e-cargo bikes, e-tricycles), electric vehicles (mainly vans), and combined passenger-and-cargo transportation rapid-transit systems. From the analyzed dataset, we find that energy-efficiency in smart cities can be improved by the consolidation of parcels in micro-depots, parcel lockers, and mobile depots. We analyze smart technologies (the Internet of things, big data, artificial intelligence, and digital twins), which enable energy efficiency by reducing the energy demand (fuel) of SUF, due to better operational planning and infrastructure sharing by logistics service providers. We propose a new IEE matrix as an actionable tool for the classification of innovations applied by LSPs in SUF, according to the level of their interconnectivity and energy efficiency. Additionally, this paper contributes to the theory by exploring possible future research directions for SUF in energy-efficient smart cities. © 2023 by the authors.
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U.S. container ports have experienced unpresented congestion since mid-2020. The congestion is generally attributed to import surges triggered by heavy spending on consumer goods during the COVID-19 pandemic. Port congestion has been compounded by the inability of importers to retrieve, receive, and process all the inbound goods they have ordered, resulting in supply chain shortfalls and economic disruption. How can the shipping industry and government organizations predict the end of the current surge and anticipate future surges? Expected seasonal variations in import volume are associated with peak holiday shopping periods; nonseasonal import surges are signaled by other factors. The research goes beyond transportation data sources to examine broader connections between import volume and indicators of economic and retail industry conditions. The strongest and most useful relationship appears to be between retail inventory indicators and containerized import growth. From January 2018 through July 2021, there was a relatively strong negative correlation between retail inventory- and import TEU indices with a 4-month lag (corresponding roughly to the time between import orders and -arrival). In the 2020 to 2021 pandemic period the negative correlation was stronger, again with a 4-month lag. These findings suggest that observers might anticipate import surges after marked, nonseasonal drops in retail inventories, and that import surges are likely to last until target inventory levels are restored. In a broader sense, an awareness of the linkages between consumer demand, retail chain responses, and containerized import volumes could better inform port, freight transportation, and government planning and policy choices.
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Under the background of normalized COVID-19 prevention and control, regional epidemics occur frequently in China. How to quantify the impact of COVID-19 prevention and control measures on economic operation and passenger and freight transportation has become an urgent problem. To this end, we design a calculation method for expressway transportation indicators, propose the level and stage division process of COVID-19 prevention and control measures, and then establish a difference-in-difference model to further analyze their impact on expressway transportation indicators. Taking major cities in the Guangdong-Hong Kong-Macao Greater Bay Area as an example, case studies are conducted based on the expressway toll data and COVID-19 prevention and control information from May 2020 to April 2022. The results show that in the level I (strengthened) stage, the passenger vehicle flow has dropped significantly, the drop in each case is between 8% and 27%, and the freight indicators have not changed significantly. In Shenzhen and Dongguan, both passenger and freight indicators dropped sharply in the level II (strict) stage. Passenger vehicle flow in the two cities dropped by 46.3% and 33.7%, and truck flow by 42.7% and 27.6%, respectively, and cargo and turnover decreased as much as truck flow. The average inter- city distance of expressway passenger cars has a downward trend under the level I stage, but under the level II stage, the average inter-city distance of passenger cars and trucks has increased significantly. This study can provide a certain reference value for the formulation and implementation of COVID-19 prevention and control measures in cities and urban agglomerations. © 2022 Science Press. All rights reserved.
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Sudden infectious diseases and other malignant events cause excessive costs in the supply chain, particularly in the transportation sector. This issue, along with the uncertainty of the development of global epidemics and the frequency of extreme natural disaster events, continues to provoke discussion and reflection. However, transport systems involve interactions between different modes, which are further complicated by the reliable coupling of multiple modes. Therefore, for the vital subsystem of the supply chain-multimodal transport, in this paper, a heuristic algorithm considering node topology and transport characteristics in a multimodal transport network (MTN): the Reliability Oriented Routing Algorithm (RORA), is proposed based on the super-network and improved k-shell (IKS) algorithm. An empirical case based on the Yangtze River Delta region of China demonstrates that RORA enables a 16% reduction in the boundary value for route failure and a reduction of about 60.58% in the route cost increase compared to the typical cost-optimal algorithm, which means that RORA results in a more reliable routing solution. The analysis of network reliability also shows that the IKS values of the nodes are positively correlated with the reliability of the MTN, and nodes with different modes may have different transport reliabilities (highest for highways and lowest for inland waterways). These findings inform a reliability-based scheme and network design for multimodal transportation. Practical Applications: Recently, the COVID-19 epidemic and the frequency of natural disasters such as floods have prompted scholars to consider transport reliability. Therefore, efficient and reliable cargo transportation solutions are crucial for the sustainable development of multimodal transport in a country or region. In this paper, a new algorithm is designed to obtain a reliability-oriented optimal routing scheme for multimodal transport. Using actual data from the Yangtze River Delta region of China as an example for experimental analysis, we obtain that: (1) the proposed algorithm is superior in terms of efficiency, accuracy, and route reliability, which means that the new algorithm can quickly find more reliable routing solutions in the event of urban transport infrastructure failures;and (2) highway hubs have the greatest transport reliability. Conversely, inland waterway hubs are the least reliable. The influence of national highways and railways on the multimodal transport system is unbalanced. These findings provide decision support to transport policymakers on reliability. For example, transport investments should be focused on building large infrastructure and increasing transport capacity, strengthening the connectivity of inland waterway hubs to hubs with higher transport advantages, and leveraging the role of large hubs. © 2023 American Society of Civil Engineers.
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The covid pandemic has disturbed the logistics and industrial organization of companies. In Europe, this specific context, in addition to the war in Ukraine, increases the gasoil price, creating an augmentation of the freight transportation global costs of companies. Industry 4.0 and logistics 4.0 concepts, developed in advanced countries such as USA, Germany, or France, are used with success for improving the company's performance. Despite the benefits of these concepts on the company transformation, numerous brakes exist for their implementation in SMEs. This paper presents a sustainable methodology more adapted for transforming digitally the SME supply chain. Sustainability is used in this methodology as the kernel and is combined with new technologies and organizational methods in the performance improvement. Indeed, an intelligent system is being developed for supporting the methodology implementation in SMES. In this paper, a focus is made on the decision aided module of this intelligent system. After a literature review, the sustainable methodology, and the architecture/development of the intelligent system will be shown. Then, the structure of the decision aided module will be exposed. Finally, an illustration case of SME supply chain digital transformation will be shown. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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In the contribution, we deal with the development of GDP on the volume of transported goods in the V4 countries with regard to the post-Covid and pre-Covid periods. As part of the research, we examined the development of the period from 2011 to 2020, for which annual data were available. We assume that despite the critical years with regard to COVID-19, except for a minor period of decline or stagnation, the volume of transport itself is relatively stable. As part of the examination of the selected countries, it is significant that some countries from the V4 experienced a sharp increase in transport at the end of the given period, which ultimately had an impact on the GDP of the given country. © 2022 IEEE.
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Depending on whether or not there is a chaotic condition, the outcomes of decision problems and the factors determining the outcomes of the problem may differ. Different criteria can be introduced for decision makers' preferences in chaotic conditions, and the importance levels of the criterion can fluctuate. Despite the fact that the COVID-19 epidemic has had an impact on the aviation industry, air cargo transportation has performed well during this time. From this perspective, the impact of chaotic events on the selection of an air freight firm is investigated in this study. With Multi-Criteria Decision Making (MCDM) methodologies, a new decision-making framework is proposed, which is an effective solution method for choice makers to finalize decision problems. The Bayesian BWM (Best-Worst) method, which is one of the new ways, is used to establish the criterion weights, while the WASPAS method is utilized to rank the air cargo businesses, due to the more sensitive reaction of the newly proposed methods. As a result, these two approaches are combined, and the ranking results are compared to the TOPSIS and COPRAS methods, with the outcomes examined. As a result, in a chaotic environment, the most essential consideration for selecting an air freight company appears to be economic criteria. © 2023 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.
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Depending on whether or not there is a chaotic condition, the outcomes of decision problems and the factors determining the outcomes of the problem may differ. Different criteria can be introduced for decision makers' preferences in chaotic conditions, and the importance levels of the criterion can fluctuate. Despite the fact that the COVID-19 epidemic has had an impact on the aviation industry, air cargo transportation has performed well during this time. From this perspective, the impact of chaotic events on the selection of an air freight firm is investigated in this study. With Multi-Criteria Decision Making (MCDM) methodologies, a new decision-making framework is proposed, which is an effective solution method for choice makers to finalize decision problems. The Bayesian BWM (Best-Worst) method, which is one of the new ways, is used to establish the criterion weights, while the WASPAS method is utilized to rank the air cargo businesses, due to the more sensitive reaction of the newly proposed methods. As a result, these two approaches are combined, and the ranking results are compared to the TOPSIS and COPRAS methods, with the outcomes examined. As a result, in a chaotic environment, the most essential consideration for selecting an air freight company appears to be economic criteria. © 2023 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.
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The Corona Virus Disease 2019 (COVID-19) has touched individuals from all walks of life in recent years, and the movement of people and commodities has become a crucial route for the disease's spread. Reasonable control of the transportation industry has become a vital to the epidemic's prevention and control. Simultaneously, a succession of tight blockade inspection measures in the transportation business have significantly restricted the movement of people and commodities, putting a strain on the industry. As a result, it is crucial to study the transportation industry's comprehensive measurement in this environment for future regulation and prevention. In this paper, the transportation industry's freight and passenger transport are used as indicators to assess the economy, and the data source is multi-source time series data from government statistics. To anticipate future economic trends in the transportation business, we chose freight and passenger transportation in the air, land, and marine industries, respectively. Due to the significant amount of missing data, this paper develops a time series data imputation approach for its specific missing situations in order to fill in the gaps and make future prediction tasks easier. In addition, this paper builds a long and short-term memory network to train the data in order to predict future transportation industry economic trends. © 2022 IEEE.
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Due to the COVID-19, air passenger transport industry is sluggishm. At the same time, based on the strong demand for freight business. Airlines focus on developing cargo sector. All-cargo airlines are gradually being established. The number of registered cargo aircraft has gradually increased in recent years,and cargo transport flight hours are gradually increasing. This leads to an increase in cargo aviation security incidents. The safety information analysis of cargo aircraft needs to be solved urgently. In this paper, a hierarchical analysis and clustering research on all-cargo airlines based on China aviaiton safety information data is carried out. The results show that all-cargo airlines security incidents are divided into three categories. The paper provides security recommendations for different incident categories. © 2022 IEEE.
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Розглянуто стан морських перевезет Украти в до- та пгсляпандемгчний nepiod. Дослужено змгни на ринку морських вантажних перевезень пгд впливом пандемп Covid-19. Розглянуто динамгку обсяггв вантажних перевезень морським транспортом, проаналгзовано експорт послуг морського транспорту. Дослужено кльккть тдприемств, якг надають транспортт послуги, виявлено, що частка тдприемств, якг надають транспортт послуги морським транспортом е незначною. Дослгджено фгнансовий стан тдприемств, якг надають транспортт послуги морським транспортом. У ходг роботи, було з'ясовано, що конкуренцгя на ринку морських вантажних перевезень посилюеться, а обсяги вантажгв скорочуються пгд впливом пандемп', що призводить до поггршення фгнансового стану тдприемств, якг займаються морськими вантажними перевезеннями. Розглянуто три можливих варганта вгдновлення ринку морських перевезень пгсля впливу пандемп' Covid-19.Alternate :Рассмотрено состояние морских перевозок Украины в до- и послепандемический период. Исследованы изменения на рынке морских грузовых перевозок под влиянием пандемии Covid-19. Рассмотрена динамика объемов грузовых перевозок морским транспортом, проанализирован экспорт услуг морского транспорта. Исследовано количество предприятий, оказывающих транспортные услуги, выявлено, что доля предприятий, оказывающих транспортные услуги морским транспортом, незначительна. Исследовано финансовое состояние предприятий, оказывающих транспортные услуги морским транспортом. В ходе работы было установлено, что конкуренция на рынке морских грузовых перевозок усиливается, а объемы грузов сокращаются под влиянием пандемии, что приводит к ухудшению финансового состояния предприятий, занимающихся морскими грузовыми перевозками. Рассмотрены три возможных варианта обновления рынка морских перевозок после влияния пандемии Covid-19. Ключевые слова: пандемия, транспорт, финансовое состояние, морские грузоперевозки, экспорт транспортных услуг.Alternate :The article is written in order to analyze the state of sea freight in Ukraine and assess the impact of the coronavirus pandemic on the state of enterprises engaged in this activity. In Ukraine, sea freight accounts for a small part. The Covid-19 pandemic will affect almost every area of the world S economy. Given the decline in trade between countries and the reduction of production in industrialized countries in the midst of a pandemic, this has negatively affected the logistics industry, not to me tion maritime freight. The state of maritime traffic in Ukraine in the pre- and postpandemic period is considered. Changes in the maritime freight market under the influence of the Covid-19 pandemic have been studied. The dynamics of freight traffic by sea is considered, the export of maritime transport services is analyzed, it was found that the volume offreight traffic in Ukraine tends to decrease, the volume of exports of freight transport by sea in Ukraine tends to increase slightly due to the increase in the cost of transport by this mode of transport. The number of enterprises that provide transport services was studied, it was found that the share of enterprises that provide transport services by sea is insignificant, however, it tends to increase. The financial condition of enterprises that provide transport services by sea has been studied. It was found that the state of maritime transport in Ukraine and the world was at its lowest level in early 2020, in the second half there was a gradual improvement, as some economies have adapted to new conditions. During the work, it was found that competition in the maritime freight market is intensifying and the volume of cargo is declining under the influence of the pandemic, which leads to a deterioration in the financial condition of enterprises engaged in maritime freight transport. The first proposed maritime trade scenario assumes that maritime trade growth rates will remain at 3.2%per year after 2020, while the second scenario assumes that maritime trade will increase in 2024 and will increase by 2.2% in 2025. year, according to the third scenario, it is assumed that by 2024 the volume of cargo transportation by sea will decrease by 15%.
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COVID-19 has a dramatically negative effect globally, so all transportation modes also airfreight have been affected negatively. This study aims to forecast the airfreight load factor by applying time series to the selected variables. After providing general information about COVID-19, the forecasting results apply to the time series modeling finding the getting back time into the recovery period. It analyzes between January 2016-May 2021 with available tonne-kilometer, revenue tonne-kilometer, load factor, gross domestic product, domestic and international freight. The findings show that the cargo load factor is affected by domestic transportation in the long-term and international transport in the short-term periods. So, airfreight is firstly affected by international transport due to its global position. The forecast results show that the recovery period started in February 2021 and will continue with a robust growth trend in July 2021 due to the changing airlines' focus on freight transportation. After the completion of vaccination, primarily related to passenger transportation, airfreight transportation also benefits from this growth trend with the configuration change of aircraft'. This paper's contribution shows the necessity to minimize the economic damage by using passenger aircraft for freight transport to increase the speed of the recovery period in terms of GDP.
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Under the global background of the New Coronavirus , the container transportation market at home and abroad has been affected to a certain extent, and there have been large fluctuations. The transportation of ocean containers is extremely vulnerable to external influences.If the port nodes cannot function effectively, it will affect the connectivity and efficiency of the shipping network and hinder the trade between countries. Therefore, it is necessary and urgent to assess the vulnerability of the ocean container transportation network.In view of this, in order to explore the impact and changes of container ports along the Maritime Silk Road in recent years. In this paper , the Maritime Silk Road shipping network is constructed based on route data. On the basis of disruption simulation, the vulnerability factors affecting the Maritime Silk Road are explored from the aspects of network and node transmissibility and diversity by using complex network characteristic indicators.The results show that the overall scale of ports and routes in the Maritime Silk Road network shows an obvious expansion trend, with a significant increase. Further research shows that the shipping network structure of the Maritime Silk Road is fragile, and port failure has different effects on network transmissibility and diversity. The dominant port and the vulnerable port have different influencing mechanisms. The research results reveal the vulnerability change mechanism and main influencing factors of the Maritime Silk Road in recent years, which is of great significance for ensuring the connectivity of maritime Silk Road ports and improving the security of maritime transport network. © 2022 IEEE.
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After grocery retail experienced a radical change with the emergence of the Internet and the use of dot-com in electronic commerce, this sector is once again in a gradual and accelerated process of adaptation and implementation of disruptive technologies. These technologies are the result of automation processes and connectivity implemented by Industry 4.0 tools and recently by the new regulations that brought the impact generated by the COVID-19 pandemic. This research paper uses a systematic literature review, this work was carried out from 50 scientific papers collected in the last 10 years (from 2012 to 2021) and that portray the planning of prototypes and implementation of disruptive technologies in grocery retail. The results gather information from technologies such as the Internet of Things, Artificial Intelligence, Machine Learning, Blockchain, Virtual Reality, Augmented Reality, use of Drones, Big Data, Robotics and Cloud Computing, and their use in the grocery retail industry in specific areas such as Logistics, Warehousing, Customer Service and Assistance, Freight Transport, Supply Chain and Supplier Management. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.