Proposed Mitigation Strategies Research Articles

Effect of Metro rail extension on flood risks of Bangkok Metropolitan Authority outskirt due to climate and land use land cover changes

ABSTRACT The Bangkok Metropolitan Administration's expansion, driven by economic growth, includes extending Metro systems and altering land use. This transformation, especially noticeable near these routes, has led to shifts in land cover – reduced green spaces, increased impervious surfaces, and decreased water storage. These changes, coupled with denser population and higher waste-generation, have compromised drainage efficiency, amplifying flood vulnerability. This study focuses on Pink Line's 34.5-kilometre stretch from Khae Rai intersection along Tiwanon Road to Min Buri, aiming to evaluate Flood Vulnerability Index (FVI) near the Metro line, identify critical influencing factors and propose mitigation strategies. The analysis divided the study area into five zones based on characteristics, evaluating FVI using population density (PO), drainage efficiency (DE), impervious ratio (IR), garbage management (GB), and pond area ratio (PA). FVI values ranged from 0.41 to 0.55. Sensitivity analysis showed minor FVI impacts at Lat Pla Khao and Ram Intra km.4 stations due to DE and IR, with reduced FVI at Khu Bon and Eastern Ring Road stations from PA and GB improvements. PA and IR enhancements consistently lowered FVI, while fluctuations were observed with GB and DE changes, with notable impacts at Min Buri Market Station. Understanding factor sensitivity aids in planning local mitigation-strategies.

SARS-CoV-2 wastewater surveillance at two university campuses: lessons learned and insights on intervention strategies for public health guidance

ABSTRACT Wastewater surveillance has been a tool for public health officials throughout the COVID-19 pandemic. Universities established pandemic response committees to facilitate safe learning for students, faculty, and staff. These committees met to analyze both wastewater and clinical data to propose mitigation strategies to limit the spread of COVID-19. This paper reviews the initial efforts of utilizing campus data inclusive of wastewater surveillance for SARS-CoV-2 RNA concentrations, clinical case data from university response teams, and mitigation strategies from Grand Valley State University in West Michigan (population 21,648 students) and Oakland University in East Michigan (population 18,552 students) from November 2020 to April 2022. Wastewater positivity rates for both universities ranged from 32.8 to 46.8%. Peak viral signals for both universities directly corresponded to variant points of entry within the campus populations from 2021 to 2022. It was found that the organization of clinical case data and variability of wastewater testing data were large barriers for both universities to effectively understand disease dynamics within the university population. We review the initial efforts of onboarding wastewater surveillance and provide direction for structuring ongoing surveillance workflows and future epidemic response strategies based on those that led to reduced viral signals in campus wastewater.

Mitigation of Landslide Disaster Management in Senggigi Tourism Area in West Lombok Regency

Landslides are a frequent occurrence in the wet tropics, particularly in the Senggigi area of West Lombok Regency. Following landslide incidents on February 6, 2021, near the Sheraton Hotel, Alberto Restaurant, and a road in Senggigi on November 12, 2021, mitigation efforts have become imperative. This research aims to identify the causal and influencing factors, assess their impacts, and propose mitigation strategies. Data is collected through questionnaires and interviews, followed by validity and reliability testing. Results indicate that soil type (20.945%) and high rainfall (23.776%) are significant factors contributing to landslides. Consequently, specialized attention from relevant agencies is needed to address soil issues in Senggigi effectively.

The Impact of Replicas and First-Copy Products on Authentic Products: An Exploration in the Apparel Industry

The purpose of this study is to find out the impact of replicas and first copies on authentic products. Replicas and first copy products are unauthorized and are designed to mimic the original products and confuse the customers. Replicas has a great influence on customer’s mind and this has a significant effect on the sales of authentic products. The reason for this is that consumers prefer to pay lesser amount for these replicas than paying premium for the original thing. Therefore, this has led to decrease in revenue of companies that produce these authentic products. However, there has been an argument about this as some of them state that replicas and first copy products would help in generate interest in particular brand and this can serve as a gateway for more expensive and premium purchases in the future. The impact of replicas and first copy products are therefore complicated and multifaceted and it depends on various factors such as consumer behaviour, market strategies and the overall health of the market. The fashion industry grapples with the pervasive issue of replicas and first-copy products, which undermine the authenticity and integrity of apparel brands. This abstract delves into the multifaceted impact of replicas on authentic apparel, considering perspectives from consumers, brands, and ethical considerations. Counterfeit alternatives tempt consumers with discounted prices, eroding brand identity and aspirational value. Brands face threats to intellectual property rights and reputation, while ethical concerns arise from exploitative labor practices and environmental degradation. By exploring motivations, vulnerabilities, and proposing mitigation strategies, this research aims to inform stakeholders and foster solutions in combating the detrimental effects of replicas on the apparel industry. Counterfeit alternatives allure consumers with enticingly discounted prices, thereby undermining the distinctiveness of brand identity and eroding the aspirational value associated with genuine products. Concurrently, brands are confronted with formidable challenges concerning the protection of intellectual property rights and safeguarding their reputation against dilution and imitation. Moreover, ethical dilemmas emerge from the prevalence of exploitative labor practices and environmental degradation inherent in the production of replicas. By delving into the underlying motivations that drive consumer behavior, identifying vulnerabilities within the market, and proposing robust mitigation strategies, this research endeavors to provide valuable insights to stakeholders within the fashion industry. Through an informed understanding of the intricate dynamics at play, it is hoped that this study will catalyze collaborative efforts aimed at combating the detrimental effects of replicas and first copies on the apparel industry.

Total ionizing dose estimation of ITER upper port remote handling equipment

This study delineates a comprehensive estimation of the integrated Total Ionizing Dose (TID) for the ITER Upper Port Remote Handling Equipment (UPRHE). The primary objective is to assess the radiation impact and devise strategies to attenuate its effects on the UPRHE components. Radiation levels in various operational zones are deduced from the ITER radiation map. This analysis includes a meticulous definition of operation sequences and corresponding durations for each maintenance task executed by the UPRHE. It is imperative to evaluate each subsystem of the UPRHE for its resilience against the maximum conceivable dose rate and the cumulative TID throughout its operational lifespan. The estimation of TID for the UPRHE encompasses both hourly rates and cumulative doses, calculated based on the identified dose levels and task durations. Additionally, this study computes the TID for all UPRHE subsystems over both a single long-term maintenance (LTM) cycle and the projected 20-year lifespan. Subsequently, the study justifies the derived TID values with the established nuclear radiation alert thresholds for ITER electronics. This comparison reveals that most UPRHE components remain within the safety margin. For components surpassing these thresholds, the paper proposes mitigation strategies to refine the system design in subsequent development phases.

Assessment of ecological risk for ecosystems caused by dredged materials in freshwater environments

Several chemical substances are released into the environment, and many of them accumulate in the silt or sludge constituting sediments, at the bottom of rivers and lakes as well as in estuaries and seabeds. The ecological and health damage caused by the contamination of sediments by these chemical substances can have serious consequences on ecosystems by reducing the diversity of communities, particularly invertebrates, with indirect consequences on fish populations, loss of edibility of fish or shellfish, recreational uses affected or impossible, ecological risk assessment can be used prospectively or retrospectively. The general outline of the evaluation includes three stages: the formulation of the problem, which aims to develop an analysis plan and define the means to be implemented to characterize the risk, the analysis itself, where we collect the data necessary for the assessment of effects and exposure, and risk characterization, where the risk(s) and, as far as possible, the associated uncertainties are estimated. The application of this approach to dredged materials is proposed in the form of two successive stages: the first consists of a simplified risk analysis, from which we can decide to initiate a second stage of detailed evaluation. The review evaluates the ecological risk associated with the disposal of dredged materials in freshwater environments. It examines the impact of dredged materials on biodiversity and ecosystem health, focusing on assessing the extent of ecological damage, identifying influential factors, and proposing mitigation strategies.

Reducing the Susceptibility of Flood Supplier Areas in Gondang Micro-Catchment, Bojonegoro, East Java Province: a Flood Disaster Mitigation Effort

Flood disaster mitigation begins with reducing the susceptibility of flood supplier areas. This task can be accomplished by mapping the flood-supplier susceptibility and then deciding on long-term flood mitigation actions following the susceptibility level of the land and the legal status of its area. Pacal reservoir has Gondang as one of its catchment areas. During the rainy season, the spillway releases water immediately because the inflow exceeds capacity. To maximize water storage, reduce Pacal reservoir input, and prevent downstream flooding, the land cover must be improved. This paper will investigate the Gondang micro-flood-prone catchment’s locations and propose mitigation strategies. The legal status of the land is used, as well as Climate Hazards Group Infrared Precipitation with Station data (CHIRPS), Digital Elevation Model (DEM), and Google Imagery from 2014 and 2020. Paimin’s Equation was used to assess the flood risk. The findings indicate that the Gondang micro-catchment is susceptible to flood suppliers on a low to a high level. Changes in land cover during 2014-2020 resulted in alterations to the susceptibility level of the area. The legal status of the area has had an impact on land cover management. The simulation results of reforestation and maintenance of dense forests in forest areas, as well as regreening activities in agricultural areas, can improve land with high susceptibility to moderate levels, which accounts for 20.9% of micro-catchment areas. All of these proposed activities are expected to control the Pacal Reservoir’s inflow during the rainy season by increasing soil infiltration and reducing runoff.

Mitigating schedule overruns in Pre-Stressed girder bridge Construction: Assessing risks and proposing mitigation strategies

PurposeThe paper discusses the critical importance of understanding and managing risks associated with the construction of pre-stressed girder bridges. As a result, it aims to assess, analyze, and propose strategies to mitigate various risk factors contributing to delays and schedule overruns in bridge construction projects. MethodologyThese risk risks through literature review and interviews with stakeholders engaged in bridge projects in Pakistan, highlighting the need for activity-specific risk analysis rather than general assumptions. ResultsThe findings show that 74% of the identified risks can be effectively managed through suitable risk management strategies. Additionally, it was suggested that 17% of the risks should be transferred, while 9% of the identified risks must be retained without any mitigation measures. This survey not only confirmed risks already identified in existing literature but also brought to light new risks previously unnoticed. Moreover, the results highlighted significant differences in risk severity among various project activities. This underscores the necessity for conducting activity-specific risk analysis instead of depending on generalized assumptions for the entire bridge construction project. ConclusionsAmong all bridge construction activities, piling emerged as the most high-risk activity, while girder installation was deemed the least risky. Based on this assessment, a set of guidelines aim to mitigate these risks and serve as a reference for minimizing schedule overruns in bridge construction, providing valuable insights for bridge constructors to effectively manage risks.

Unveiling Lethal Risks Lurking in Hot Tub Baths: A Review of Tragic Consequences.

Heat therapy, including saunas, jacuzzi, and hot tub bathing, has gained global popularity. However, the escalating incidents of injuries and fatalities associated with hot tub activities are a significant public health concern. This study aims to comprehensively review and analyze the pathophysiological factors contributing to hot tub-related deaths, addressing the need for awareness and mitigation strategies. A comprehensive search of electronic databases, PubMed and Science Direct, was conducted to identify articles relevant to bath-related deaths. Eligible studies were exported to the Rayyan (Qatar Computing Research Institute, Qatar) software for data analysis. The data extracted from the 18 studies were compiled to elucidate the mechanisms underlying hot tub bath-related deaths and to advocate for the adoption of potential mitigation strategies and future directions to prevent such incidents in the future. The review revealed insights into the current trend of fatalities linked to hot tub bathing. A detailed analysis of pathophysiological aspects, encompassing hemodynamics, electrolyte disturbances, serum glucagon alterations, and the impact of alcohol and substance abuse during hot tub use, was conducted. Furthermore, we explored the effects of temperature and conducted a thorough discussion of postmortem evidence analysis concerning deaths related to bathtub usage. Finally, the paper discusses mitigation strategies to prevent fatalities attributed to hot tub bathing. In conclusion, our review highlights growing public health concerns surrounding injuries and fatalities related to hot tub activities. Through an examination of the incidence rates, pathophysiological factors, and proposed mitigation strategies, we provide crucial insights for enhancing safety and addressing the escalating risks associated with hot tub bathing.

Enhancing Tax Compliance in Indonesian Government Institutions: Identifying and Mitigating Inhibiting Factors

Tax compliance in Indonesian government institutions significantly affects national revenue and resource allocation. This study addresses tax non-compliance by identifying its causes and proposing mitigation strategies. The research aims to understand why government institutions in Indonesia struggle with tax compliance, with objectives including identifying inhibiting factors, assessing their impact, and proposing mitigation strategies. This integrated approach encompasses various elements, including a descriptive analysis approach, comprehensive literature research, comparative analysis, a qualitative research approach, and secondary data collection. Findings highlight complex regulations, inadequate tax education, and inconsistent enforcement as compliance hindrances. The study quantifies their impact. Proposed solutions include simplifying tax rules, enhancing tax education, and enforcing tax laws. In conclusion, this research informs policymakers, tax authorities, and government officials about tax compliance challenges, offering insights to improve tax collection and resource allocation, potentially increasing government revenue and promoting sustainable development.

Quantitative Models for Supply Chain Risk Analysis in Water Tank Manufacturing: A Case Study of a Factory in Aba, Nigeria

Quantitative models for supply chain risk analysis of water tank manufacturing company factory Aba, Abia state has been studied. Aba being one of the biggest cities known for commercial activities in southern part of Nigeria, couple the weight of weight and area of a water tank, has made the supply mechanism of the product costly. This study delves into the complexities of supply chain management, aiming to identify risk assessment models, vulnerabilities, propose optimal scenarios, and recommend enhanced risk management strategies. Risk factors identification, route time estimation, critical path analysis, cost-related risk assessment, comparison of logistic choices, and decision tree and mitigation were used to instigate and determine the best path for the supply flow of the system and save cost. From the results obtained, the analysis reveals that PATH 6 is the most time-efficient route, with the critical path identified as 62 hours, furthermore, two transportation/logistic choices were compared, with the second choice considered more cost-effective (N6.6m) than the first (N6.9m), the developed decision tree model, explores vulnerabilities in the supply chain and proposes mitigation strategies. This research has suggested some applicable guides to optimize supply chain managements, which includes partnering with distributors, leasing warehouses, or collaborating with retailers, with each decision weighed against various factors and costs to align with the company's best interests. The study underscores the importance of considering every component of the supply chain during decision-making to effectively mitigate risks.

Navigating the landscape: Safeguarding privacy and security in the era of ambient intelligence within healthcare settings

Ambient intelligence technologies have the potential to transform healthcare by providing personalized, context-aware, and proactive support for patients and healthcare providers. However, the use of these technologies in healthcare settings raises important privacy and security concerns that must be addressed to ensure patient trust and acceptance. This paper explores the privacy and security considerations related to the utilization of ambient intelligence in healthcare, aiming to address the associated risks and establish a robust security infrastructure. By reviewing the inherent privacy and security risks in healthcare settings employing ambient intelligence, discussing the ethical and legal considerations, and proposing mitigation strategies, the focus is on ensuring patient trust and acceptance.The architecture that is being presented is a comprehensive one with interconnected layers that guarantees data confidentiality, integrity, and privacy in the ambient intelligence healthcare system. This protects sensitive data and maintains its continuous availability. This research helps to establish a safe environment that supports the transformational potential of ambient intelligence in healthcare while putting patient privacy and data protection first by thoroughly addressing privacy and security concerns.

Safeguarding IoT networks: Mitigating black hole attacks with an innovative defense algorithm

The Internet of Things (IoT) and Wireless Sensor Networks (WSNs) have rapidly spread in recent decades, leading to remarkable innovation and integrated possibilities. The switch from IPv4 to IPv6, made possible by advancements in networking technology and the use of nanodevices, has further improved connectivity. This move allows for connecting a wider range of devices to servers. Nevertheless, the increasing interconnectivity has brought about difficulties in efficiently overseeing and analysing the enormous amount of data produced throughout all levels of the IoT. The requirement of comprehensive security management is particularly concerning for IoT devices due to their large quantity and small size. Within the layered architecture of IoT, the network layer assumes pivotal importance in ensuring security, bearing responsibility for storing routing information and executing corresponding decisions. The Black Hole attack is a frequently encountered and significant concern among the security attacks addressed. This paper thoroughly examines the consequences of the Black Hole attack on IoT networks, carefully analyzing its impact. Furthermore, it presents a novel mitigation algorithm designed to counter such threats efficiently. The research employs NS2 and Simulink to run extensive simulations, enabling the evaluation of network throughput and Packet Delivery Ratio (PDR). Applying the proposed mitigation strategy to a network affected by the Black Hole attack results in a significant improvement in throughput, which closely resembles that of an unaffected network. The observed Packet Delivery Ratio (PDR) is measured at 98.21%. This highlights the algorithm’s effectiveness in mitigating the detrimental effects of the Black Hole attack on IoT networks.

Disaster Fallout: Impact of Natural Calamities on HIV Control

Natural calamities possess a profound and multifaceted impact on HIV control, posing significant challenges to the infrastructure and initiatives aimed at managing the HIV/AIDS epidemic. This review scrutinizes the intricate dynamics between natural disasters and HIV control efforts, elucidating the disruptions these calamities create within prevention, treatment, and care programs. The repercussions extend from compromised healthcare services, heightened vulnerability among affected populations, to the impeded execution of preventive measures. Understanding the interplay between disasters and HIV control is pivotal for devising adaptive strategies capable of sustaining effective interventions during and in the aftermath of catastrophic events. This review amalgamates insights from existing literature, delving into the complexities and proposing mitigation strategies to fortify HIV control in disaster-prone regions. Keywords: Natural disasters, HIV/AIDS, Vulnerability, Displacement, Prevention programs, Psychosocial support, Disaster preparedness, Community engagement, Disaster response

Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies

The significant advancements in applying artificial intelligence (AI) to healthcare decision-making, medical diagnosis, and other domains have simultaneously raised concerns about the fairness and bias of AI systems. This is particularly critical in areas like healthcare, employment, criminal justice, credit scoring, and increasingly, in generative AI models (GenAI) that produce synthetic media. Such systems can lead to unfair outcomes and perpetuate existing inequalities, including generative biases that affect the representation of individuals in synthetic data. This survey study offers a succinct, comprehensive overview of fairness and bias in AI, addressing their sources, impacts, and mitigation strategies. We review sources of bias, such as data, algorithm, and human decision biases—highlighting the emergent issue of generative AI bias, where models may reproduce and amplify societal stereotypes. We assess the societal impact of biased AI systems, focusing on perpetuating inequalities and reinforcing harmful stereotypes, especially as generative AI becomes more prevalent in creating content that influences public perception. We explore various proposed mitigation strategies, discuss the ethical considerations of their implementation, and emphasize the need for interdisciplinary collaboration to ensure effectiveness. Through a systematic literature review spanning multiple academic disciplines, we present definitions of AI bias and its different types, including a detailed look at generative AI bias. We discuss the negative impacts of AI bias on individuals and society and provide an overview of current approaches to mitigate AI bias, including data pre-processing, model selection, and post-processing. We emphasize the unique challenges presented by generative AI models and the importance of strategies specifically tailored to address these. Addressing bias in AI requires a holistic approach involving diverse and representative datasets, enhanced transparency and accountability in AI systems, and the exploration of alternative AI paradigms that prioritize fairness and ethical considerations. This survey contributes to the ongoing discussion on developing fair and unbiased AI systems by providing an overview of the sources, impacts, and mitigation strategies related to AI bias, with a particular focus on the emerging field of generative AI.

Assessing the environmental impacts of beef production chains integrating grazing and landless systems

Livestock production systems contribute significantly to environmental impacts at the global level, and meat consumption is projected to increase with the population. There is a need to reduce the impact of food production, including that from beef systems. Different production systems, ranging from traditional grazing to landless systems, coexist within the beef sector. Among these, mixed systems have emerged as a promising alternative. These mixed systems typically involve adult cattle in grazing systems alongside fattening calves in landless systems, potentially achieving higher productivity while reducing the overall environmental impacts. The first step towards proposing mitigation strategies involves identifying the impacts of the sector. This study aimed to estimate the main environmental impacts of four types of mixed beef systems based on the origin of the calves that are raised, fattened, and slaughtered. Using life cycle assessment, the study evaluated the environmental impacts from the cradle to the slaughterhouse gate, expressed per kilogram of carcass weight. The four systems assessed include suckler cow farms that fatten their own offspring (beef single farm, BSF), a system in which calves raised on a suckler farm are fattened on a different farm (beef fattening unit, BFU), and systems in which dairy calves are fattened on growing units, with calves either from Spain (dairy national, DN) or from farms located abroad (dairy abroad, DA). Primary data were obtained from representative surveys of farmers and slaughterhouses, and allocation between co-products was performed according to the updated guidelines of Environmental Product Declarations and the Product Category Rules for meat. Seven environmental impact categories were assessed: climate change, marine eutrophication, freshwater eutrophication, stratospheric ozone depletion, terrestrial acidification, photochemical ozone formation on ecosystems, and photochemical ozone formation on human health. The results indicate that meat production from BSF and BFU has greater environmental impacts than that from DN and DA systems, primarily due to the lower environmental burden allocated to dairy calves, whereas the contribution of slaughterhouse activities to the environmental impacts was minimal. This study highlights the importance of mitigating the environmental impacts associated with feed production, enteric fermentation, and manure management in beef systems. Future studies should consider potential environmental benefits of grazing animals such as carbon sequestration and biodiversity promotion.

Comparing overheating risk and mitigation strategies for two Canadian schools by using building simulation calibrated with measured data

This paper compares the indoor overheating risk of two schools by considering the effect of selected building parameters, under extreme current and future climates, and proposes mitigation strategies. The indoor air temperature measurements were conducted in seven classrooms in two schools constructed in 1960 and 1990. These measurements are used to calibrate the building simulation models of these schools. The study's results show that, in the current extreme year, classrooms on upper floors with larger window-wall ratios WWR (60%) and lower thermal building envelope properties are at a higher risk of overheating. Conversely, in classrooms located on lower floors, or featuring a small WWR (10%), or better thermal properties, no other Climate-resilient measures are needed. Under extreme future years the external roller blind shading, night cooling, and cool roof measures will be necessary for both schools, particularly for last-floor classrooms with south orientation and a 60% WWR in 1960 building.

Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver

We propose a quantum error mitigation strategy for the variational quantum eigensolver (VQE) algorithm. We find, via numerical simulation, that very small amounts of coherent noise in VQE can cause substantially large errors that are difficult to suppress by conventional mitigation methods, and yet our proposed mitigation strategy is able to significantly reduce these errors. The proposed strategy is a combination of previously reported techniques, namely randomized compiling (RC) and zero-noise extrapolation (ZNE). Intuitively, randomized compiling turns coherent errors in the circuit into stochastic Pauli errors, which facilitates extrapolation to the zero-noise limit when evaluating the cost function. Our numerical simulation of VQE for small molecules shows that the proposed strategy can mitigate energy errors induced by various types of coherent noise by up to two orders of magnitude.

A World Fit for the Next Seven Generations: Upholding Indigenous Rights for the Foundation of a Sustainable Future

Using the ‘Next Seven Generations’ as a conceptual framework, this article highlights Indigenous perspectives on sustainability and intergenerational responsibility in response to the A World Fit for Children declaration report. Through an analysis of Indigenous children's rights, the article emphasizes the importance of recognizing Indigenous land sovereignty in fostering a sustainable future for all children. Additionally, the disparate impacts of climate change on Indigenous children, lands, and resources will be explored with proposed mitigation strategies. The authors argue that upholding Indigenous rights can lead to improved outcomes in protecting the earth for children and stress the benefits of a rights-informed approach. Challenges and opportunities in implementing recommendations from child rights frameworks are explored, advocating for collaboration between Indigenous communities and stakeholders. In conclusion, sustained efforts are urged to create a world fit for the next seven generations of children by adopting a rights-informed approach to environmental protection. Keywords: Indigenous Childhoods, Children’s Rights, Environmental Protection, Sustainability

Evaluating the Impact of COVID-19 on Multimodal Cargo Transport Performance: A Mixed-Method Study in the UAE Context

This research is a case study on the United Arab Emirates (UAE), exploring multimodal logistics, which involves transporting cargo using multiple modes of transportation, and investigating its challenges and opportunities during the COVID-19 pandemic from 2020 to 2022. Through a mixed-method approach of qualitative interviews and quantitative surveys, this study examines factors influencing multimodal cargo transport and its performance. Five senior executives from the logistics industry were interviewed to identify key variables, and a questionnaire was administered to 120 participants to assess the impact on shipping costs and utilization. This study reveals a significant relationship between geographical and geopolitical risks and increased shipping costs in certain regions, highlighting the need for secure and cost-effective multimodal solutions in these areas. However, shipping costs did not mediate the performance of intermodal transportation at transit hubs during the pandemic. The findings offer valuable insights for transit hubs to enhance the utilization of multimodal cargo transport during uncertain times, ultimately leading to improved logistics performance in similar hub countries. This study’s originality lies in its investigation of the resilience and sustainability dimensions in multimodal logistics during the pandemic, proposing mitigation strategies and enhancing strategic decision making in the logistics industry under volatile business environments. Future research is recommended to expand the model’s results by including data from other logistics corridors and hubs.