Transportation Costs Research Articles

Formulating efficient P-rich biobased starter fertilizers: Effects of acidification and pelletizing on fertilizer properties

Animal-derived biowastes can be alternatives to mineral phosphorus fertilizers, although they typically have lower efficiency and higher transport costs because of their bulk. Pelletizing can reduce their volume and facilitate their use as placement fertilizers but may also decrease phosphorus availability. This study examined how acidification and pelletizing affect phosphorus availability in biowastes. Digestate solid fraction and meat and bone meal were treated in four ways: (1) untreated (U), (2) acidified (A), (3) untreated pelletized (UP), and (4) acidified pelletized (AP). These treatments were tested in soil incubation and pea growth experiments, with fertilizers placed 5 cm beneath the seeds to evaluate their effectiveness as placement fertilizers. Acidification significantly enhanced the phosphorus solubility of DSF and MBM by approximately 5 and 7 times respectively, while pelletizing acidified materials reduced it. In the incubation experiment, acidified materials in the powdery form showed the highest soil water-extractable phosphorus, with no significant differences among U, UP, and AP ways. In the rhizobox experiment, pelletizing untreated digestate significantly reduced plant dry matter compared to the untreated fibrous form (from 2.0 g to 1.35 g). Acidified and acidified pelletized digestate treatments resulted in the highest shoot dry matter (2.8 g and 2.95 g, respectively), surpassing even triple the amount of superphosphate (2.53 g). For meat and bone meal, the acidified powder led to the highest plant growth (2.0 g), while untreated powder resulted in the lowest amount of plant growth (0.4 g), which was lower than that of the negative control (0.6 g). No significant differences were noted between untreated and acidified pellets. These findings indicate that acidification enhances phosphorus availability in biowastes, while pelletizing reduces it. The acidified pelletized digestate solid fraction has lower volume and higher P use efficiency than its untreated material, showing higher plant growth when compared to mineral P fertilizer.

Perceptions of surgery in Nicaragua: A cross-sectional survey study within the surgery for the people project.

Barriers to medical care include lack of proper infrastructure and equipment; however, cultural barriers to care and poorly perceived quality of care, especially surgical care, can also negatively impact a patient's utilization of healthcare services. This study used patient-survey data from three unique municipalities in Nicaragua to examine pre-hospital barriers to care, including previous experience with healthcare, and how those experiences impact patient perceptions of surgery and care-seeking behavior. Surveys were administered in Siuna, Rosita, and Bonanza, Nicaragua between July 2019 and September 2020. Survey participants were aged 18-years or older that live in communities served by the Ministry of Health. The surveys were open response and multiple-choice format. Surveys included questions about structural/cultural/financial barriers to care, communication barriers, and knowledge of healthcare services. Data was managed using REDCap tools and analysis was completed using R. Individuals that previously visited a health post were significantly more likely to have a positive perception of surgery compared to those who had not (OR = 1.4) (p = 0.019). This finding remained significant after adjustment for education, age, and municipality. However, previous hospital visits did not have a significant impact on perception of surgery. Individuals with higher transportation costs reported a negative perception of surgery (40.4%), as well as those who used private transportation (29.1%) (p<0.001). Participants that reported travel obstacles were 2.64 times as likely to have a positive perception of surgery (p<0.001), even when adjusted for all demographics except site. These findings suggest that individuals who previously interacted with only lower-level healthcare environments were significantly more likely to have a positive perception of surgery. Counterintuitive findings show that access to public transport, transportation costs >2USD, and cell-phone usage increased negative perception of surgery. This study demonstrates the complexity of variables that impact perceptions of healthcare services while highlighting areas of focus for future targeted investments.

Cost-effectiveness of prophylactic ramosetron in the prevention of postoperative nausea and vomiting.

This study was conducted to assess the cost-effectiveness of prophylactic use of ramosetron compared to no antiemetic medications for the prevention of postoperative nausea and vomiting (PONV) from the healthcare payer and societal perspectives in South Korea. A decision analytic model was constructed to assess the cost-effectiveness of prophylactic ramosetron use versus no antiemetic therapy at 24-hour and 48-hour periods post-surgery over a 5-day duration. The model was populated using costs and utility parameters from published studies as well as from surveys of an expert panel of physicians using structured questionnaires. The cost parameters included the costs of drugs, treatment, patient time, productivity loss, and transportation. Effectiveness was measured using quality adjusted life years (QALYs). The study outcome was the incremental cost-effectiveness ratio (ICER). The parameter uncertainties were addressed using deterministic and probabilistic scenario analyses. The base-case analysis showed that, on average, patients treated with prophylactic ramosetron had lower costs from both the healthcare payer (US$16.88 vs US$17.33) and societal (US$16.89 vs US$18.72) perspectives and higher QALYs (0.0121 vs 0.0114) over the 5-day study duration compared to patients without any antiemetic medications. Deterministic and probabilistic sensitivity analyses were conducted to examine the robustness of results for the parameters included in the model. The acceptability curve probability showed that treating patients with ramosetron compared to no antiemetic medications was more than 99% cost-effective at a willingness-to pay threshold of US$5,000/QALY from both payer and societal perspectives. The results demonstrated that prophylactic use of ramosetron compared to no antiemetic therapy is highly cost-effective to prevent PONV for patients undergoing surgery from both healthcare payer and societal perspectives. The cost effectiveness is the result of the decrease in the incidence of PONV and the direct treatment costs of severe PONV with improved patient quality of life.

Generalized multi-manufacturer multi-retailer production-delivery supply chain model and its minimum cost solution policy

Production of a product at multiple sources and its deliveries to multiple destinations are a common practice in business. Minimization of the integrated total cost of performing operations and transportation considering the relevant factors such as the minimum order quantity contract, capacities of transport vehicles, and times of transportation in this supply chain is essential, in supplying products to customers at reasonable lesser prices. However, such a supply chain has received little attention in terms of minimizing the integrated total cost taking into account these related factors explicitly. So, there lies a research scope on this topic to fulfill the growing need of minimizing the cost of production-deliveries of products to meet customers’ demands fruitfully. Here we develop such a generalized mathematical model to minimize the integrated total cost of carrying out operations at manufacturers and retailers, and transporting batches (sub-lots) of lots from sources to destinations considering the mentioned realistic constraints. The integrated production-delivery flow is synchronized by delivering lots with batches of equal and/or unequal sizes. First without considering transportation costs, we obtain optimal batches to minimize the total cost of the model. Each of these optimal batches is proportionally distributed at manufacturers as supplies and at retailers as demands. Then the minimum transportation cost solution from manufacturers to retailers is incorporated to the earlier solution to obtain the final result. We illustrate this solution policy with numerical example problems. Sensitivity analyses are performed to see the effect of increasing values of parameters on the minimum total cost.

A Study to Assess Anti-TB Treatment Compliance, Factors Predictive for Poor Adherence and Perpetual Defaulting among Patient Living with TB in Namuseche Chipata Eastern Province–Zambia

Background of the Study: Tuberculosis (TB) is the ninth leading cause of death worldwide. According to WHO at least 1.5 million people each year succumb to TB, thus making it the world's top infectious killer as well as the leading cause from a single infectious agent, ranking above HIV/AIDS. Zambia is one of the top 30 high TB burden countries. People with active TB can infect 5– 15 other people through close contact over the course of a year. TB patients with compromised immune systems, such as people living with HIV, malnutrition or diabetes, or people who use tobacco, have a higher risk of falling ill. Without proper treatment, 45% of HIV-negative people with TB on average and nearly all HIV-positive people with TB will die. Defaulting on TB medication is a major barrier to both local and global TB control. Defaulting increases, the risk of drug resistance, treatment failure, relapse and death, and may prolong infectiousness. Poor adherence to treatment means that patients remain infectious for longer and are more likely to relapse or succumb to tuberculosis. The rate of anti-TB treatment compliance, adherence and perpetual defaulting TB treatment was and is still high during the intensive phase of treatment. Most people who are called “lost to follow up” don’t have adequate information as to why they should continue and finish their TB medication.  Methodology: A qualitative, phenomenological cross-sectional research design was used. Namuseche Prison Clinic and surrounding compounds of Chipata Township in Eastern Province Zambia. A total of 141 participants was recruited through purposive sampling. In-depth interviews were conducted. The SPSS package version 23 was applied to conduct quantitative analysis. The proposal was approved by the Chreso University Ethics Clearance Committee and National Health Research Authority. Researcher ensured confidentially and voluntary participation with informed consent.  Results: The age of the respondents in this study ranged from 18 years to 50 years. Knowledge on TB related questions was very high in this study and stood at 87.3%. TB treatment default was found in 34 (32.7%) respondents and was associated with distance to the facility and transport costs, feeling unwell and the drug side effects.  Conclusion: TB treatment default was found in 34 (32.7%) respondents and was associated with distance to the facility and transport costs, feeling unwell and the drug side effects.

The Impact of Transport Costs on Business Decision-Making in Rural Areas

Mobility challenges in rural areas can have a negative impact on economic and demographic development. People in these areas often have to move to urban areas to find quality jobs or services, which can lead to a decline in population, and economic activity. In this paper we analyze the factors influencing business decisions in rural areas. Public transport infrastructure based on short energy cycles using solar energy represents a solution to boost business decision management in rural areas.

Dried blood spot improves global access to aquaporin-4-IgG testing for neuromyelitis optica.

This study aimed to evaluate the diagnostic accuracy of dried blood spot (DBS) compared with conventional serum Aquaporin-4-IgG (AQP4-IgG) testing. Prospective multicenter diagnostic study was conducted between April 2018 and October 2023 across medical centers in the United States, Uganda, and the Republic of Guinea. Neuromyelitis optica spectrum disorder (NMOSD) patients and controls collected blood on filter paper cards along with concurrent serum samples. These samples underwent analysis using flow cytometric live-cell-based assays (CBA) and enzyme-linked immunosorbent assay (ELISA) to determine AQP4 serostatus. The accuracy of AQP4-IgG detection between DBS and serum (gold standard) was compared. Among 150 participants (47 cases, 103 controls), there was a strong correlation between DBS and serum samples (Spearman's correlation coefficient of 0.82). The AUC was 0.97 (95% CI: 0.92-0.99). AQP4-IgG detection through DBS showed 87.0% sensitivity (95% CI: 0.74-0.95) and 100% specificity (95% CI: 0.96-1.00) using CBA, and 65.2% sensitivity (95% CI: 0.43-0.84) and 95.2% specificity (95% CI: 0.76-0.99) using ELISA. Serum ELISA demonstrated 69.6% sensitivity (95% CI: 0.47-0.87) and 98.4% specificity (95% CI: 0.91-0.99). The stability of DBS in detecting AQP4-IgG persisted over 24 months for most cases. The DBS represents a viable alternative for detecting AQP4-IgG in resource-limited settings to diagnose NMOSD, offering high sensitivity and specificity comparable to serum testing. Moreover, DBS has low shipping costs, is easy to administer, and is suitable for point-of-care testing.

A lean approach to comparing the mooring systems of Suezmax tankers

AbstractMooring Suezmax tankers is a process requiring skilled ship crews and terminal workers to accomplish the time-consuming, hazardous task of securing the ship to a jetty to load or discharge oil cargoes. The advent of new equipment technologies has enabled industry professionals to view the mooring process from a new perspective. A lean approach is applied to analysing alternative mooring processes of Suezmax tankers. A reduction in mooring time of about 30 min is noted when replacing steel wire with high modulus synthetic fibre (HMSF) ropes. Further, a potential time saving of 57 min is noted if automated mooring is used instead of steel wire, and 27 min compared with HMSF. The automated mooring concept reduces the manpower required to perform the mooring process, both on board and ashore. If HMSF lines replace steel wires, a significant reduction is noted in ship and crew time costs incurred with mooring maintenance onboard during sailing. A single case study addresses the two research questions: (1) What is the mooring process of Suezmax tankers? (2) How can the mooring process of Suezmax tankers be enhanced?

Solving a real case of rich vehicle routing problem with zone-dependent transportation costs

Solving a real case of rich vehicle routing problem with zone-dependent transportation costs

Modeling and Optimization of the Inland Container Transportation Problem Considering Multi-Size Containers, Fuel Consumption, and Carbon Emissions

This paper investigates the inland container transportation problem with a focus on multi-size containers, fuel consumption, and carbon emissions. To reflect a more realistic situation, the depot’s initial inventory of empty containers is also taken into consideration. To linearly model the constraints imposed by the multiple container sizes and the limited number of empty containers, a novel graphical representation is presented for the problem. Based on the graphical representation, a mixed-integer programming model is presented to minimize the total transportation cost, which includes fixed, fuel, and carbon emission costs. To efficiently solve the model, a tailored branch-and-price algorithm is designed, which is enhanced by improvement schemes including a heuristic label-setting algorithm, decremental state-space relaxation, and the introduction of a high-quality upper bound. Results from a series of computational experiments on randomly generated instances demonstrate that (1) the proposed branch-and-price algorithm demonstrates a superior performance compared to the tabu search algorithm and the genetic algorithm; (2) each additional empty container in the depot reduces the total transportation cost by less than 1%, with a diminishing marginal effect; (3) the rational configuration of different types of trucks improves scheduling flexibility and reduces fuel and carbon emission costs as well as the overall transportation cost; and (4) extending customer time windows also contributes to lower the total transportation cost. These findings not only deepen the theoretical understanding of inland container transportation optimization but also provide valuable insights for logistics companies and policymakers to improve efficiency and implement more sustainable operational practices. Additionally, our research paves the way for future investigations into the integration of dynamic factors and emerging technologies in this field.

Current Advancements in Drone Technology for Medical Sample Transportation

Background: The integration of drone technology into healthcare logistics presents a significant opportunity to enhance the speed, reliability, and efficiency of medical sample transportation. Methods: This paper provides a narrative review of current advancements in drone technology, focusing on its application in the rapid and secure delivery of medical samples, particularly in urban and remote regions where traditional transportation methods often face challenges. Drawing from recent studies and case reports, the review highlights the role of technologies such as artificial intelligence (AI)-driven navigation systems, real-time monitoring, and secure payload management in mitigating logistical barriers like traffic congestion and geographical isolation. Results: Based on findings from various case studies, the review demonstrates how drones can significantly reduce transportation time and costs, while improving accessibility to healthcare services in underserved areas. Conclusions: This paper concludes that, while challenges such as regulatory hurdles and privacy concerns remain, ongoing technological advancements and the development of supportive regulatory frameworks have the potential to revolutionize medical logistics, ultimately improving patient outcomes and healthcare delivery.

II-LA-KM: Improved Initialization of a Learning-Augmented Clustering Algorithm for Effective Rock Discontinuity Grouping

Rock mass discontinuities are an excellent information set for reflecting the geometric, spatial, and physical properties of the rock mass. Using clustering algorithms to analyze them is a significant way to select advantageous orientations of structural surfaces and provide a scientific theoretical basis for other rock mass engineering research. Traditional clustering algorithms often suffer from sensitivity to initialization and lack practical applicability, as discontinuity data are typically rough, low-precision, and unlabeled. Confronting these challenges, II-LA-KM, a learning-augmented clustering algorithm with improved initialization for rock discontinuity grouping, is proposed. Our method begins with heuristically selecting initial centers to ensure they are well-separated. Then, optimal transport is used to adjust these centers, minimizing the transport cost between them and other points. To enhance fault tolerance, a learning-augmented algorithm is integrated that iteratively reduces clustering costs, refining the initial results toward optimal clustering. Extensive experiments on a simulated artificial dataset and a real dataset from Woxi, Hunan, China, featuring both orientational and non-orientational attributes, demonstrate the effectiveness of II-LA-KM. The algorithm achieves a 97.5% accuracy on the artificial dataset and successfully differentiates between overlapping groups. Its performance is even more pronounced on the real dataset, underscoring its robustness for handling complex and noisy data. These strengths make our approach highly beneficial for practical rock discontinuity grouping applications.

Costs of medical evacuation and transportation of First Nations Peoples and Inuit who travel for medical care in Canada: A systematic review.

For First Nations people and Inuit who live on reserves or in rural and remote areas, a guideline requires their travel to urban centres once their pregnancy reaches 36-38weeks gestation age to await labour and birth. While not encoded in Canadian legislation, this guideline-and invisible policy-is reinforced by the lack of alternatives. Research has repeatedly demonstrated the harm of obstetric evacuation, causing emotional, physical, and financial stress for pregnant and postpartum Indigenous women and people. Our objective was to describe the costs of obstetric evacuation, as reported in the literature. We conducted a systematic review using online searches of electronic databases (Ovid EMBASE, CINAHL, Ovid Healthstar, PubMed, ScienceDirect, PROSPERO, and Cochrane Database of Systematic Reviews) and identified studies that reported costs related to medical evacuation or transportation in rural and remote Indigenous communities. We performed critical appraisal of relevant studies. We identified 19 studies that met the inclusion criteria. The studies reported various types of cost, including direct, indirect, and intangible costs. Medical evacuation costs ranged from CAD $7714 to CAD $31,794. Indirect and intangible costs were identified, including lost income and lack of respect for cultural practices. Costs associated with obstetric evacuation are high, with medical evacuation as the most expensive direct cost identified. Although we were able to identify a range of costs, information on financing and funding flows was unclear. Across Canada, additional research is required to understand the direct costs of obstetric evacuation to Indigenous Peoples and communities.

Comparative view of the modified Vogel’s approximation methods in transportation problem

Recently, the whole world is experiencing economic hardship and one fast road to ply is to cut out some expenses. Xlife group is equally affected and so the study proposes a means to minimize its transportation cost if effected. A comparative surgery on Vogel’s approximation with its modified versions were conducted on minimizing the cost of transporting manufactured goods from (Xlife group’s) points of supply to certain destinations was undertaken. The Vogel's Approximation Method (VAM) and the Modified Vogel's Approximation Method based on standard deviation, distribution indicators and average cost were applied to determine an initial basic feasible solution and optimal solution for certain transportation problems. All methods yield identical minimum transportation cost except at an instance.

Techno-Economic Feasibility Analysis of Post-Combustion Carbon Capture in an NGCC Power Plant in Uzbekistan

As natural gas-fired combined cycle (NGCC) power plants continue to constitute a crucial part of the global energy landscape, their carbon dioxide (CO2) emissions pose a significant challenge to climate goals. This paper evaluates the feasibility of implementing post-combustion carbon capture, storage, and utilization (CCSU) technologies in NGCC power plants for end-of-pipe decarbonization in Uzbekistan. This study simulates and models a 450 MW NGCC power plant block, a first-generation, technically proven solvent—MEA-based CO2 absorption plant—and CO2 compression and pipeline transportation to nearby oil reservoirs to evaluate the technical, economic, and environmental aspects of CCSU integration. Parametric sensitivity analysis is employed to minimize energy consumption in the regeneration process. The economic analysis evaluates the levelized cost of electricity (LCOE) on the basis of capital expenses (CAPEX) and operational expenses (OPEX). The results indicate that CCSU integration can significantly reduce CO2 emissions by more than 1.05 million tonnes annually at a 90% capture rate, although it impacts plant efficiency, which decreases from 55.8% to 46.8% because of the significant amount of low-pressure steam extraction for solvent regeneration at 3.97 GJ/tonne CO2 and multi-stage CO2 compression for pipeline transportation and subsequent storage. Moreover, the CO2 capture, compression, and transportation costs are almost 61 USD per tonne, with an equivalent LCOE increase of approximately 45% from the base case. This paper concludes that while CCSU integration offers a promising path for the decarbonization of NGCC plants in Uzbekistan in the near- and mid-term, its implementation requires massive investments due to the large scale of these plants.

Counting the costs of expensive tissues: mating system, brain size, and IGF-1 affect the ecological costs of transport in mammals

Counting the costs of expensive tissues: mating system, brain size, and IGF-1 affect the ecological costs of transport in mammals

Pipe sharing: A capacity allocation method for incorporating economy and fairness in the multiproduct pipeline

To guarantee fair access to pipeline facilities, pipe companies around the world have promoted market-based reform measures that are subject to governmental regulation. The pipe company should allocate transport capacity to shippers based on their nominations and then make schedules that align with the operational process. The reasonable mechanism is crucial for allocation results, affecting the carrier's revenue and shippers' fairness. Aiming at this issue, this paper puts forward an allocation mechanism of combining priority rules with historical data based on summarizing existing mechanisms. A multi-objective optimization model for capacity allocation that simultaneously considers economic and fairness metrics is developed. Finally, the efficient frontiers describing the economy-fairness trade-off are generated through using ε-constraint method, which can be selected by the pipe company based on its preference. Using data from a real pipeline as a case study, the solutions under different mechanisms are quantitatively evaluated. The results show that different mechanisms are applicable differently. Compared with other existing mechanisms, the proposed mechanism brings the pipe company the maximum cost of 1665.98 × 104CNY. On the basis of realizing the fair allocation, the proposed method ensures the pipe company to obtain the maximum transport cost to a certain extent as well.

From biogas to biomethane: Comparison of sustainable scenarios for upgrading plant location based on greenhouse gas emissions and cost assessments

Addressing the global energy crisis and achieving sustainable development goals (SDGs) necessitates shifting towards renewable energy sources, with biomethane emerging as a viable alternative. This study evaluated three scenarios for biomethane production from biogas: localized upgrading for biofuel use, district upgrading for biofuel use, and district upgrading with grid injection. By utilizing economic assessments and spatial and network analysis, the optimal locations for upgrading plants were identified to minimize transportation costs and GHG emissions (CO2 equivalents). Results indicate that Scenario 1 achieves the lowest emissions and operating costs (41 MEUR), while Scenarios 2 and 3, despite higher initial investments (152–173 MEUR), offer significant economies of scale (1187–1321 MEUR) and substantial annual production capacities (8.8 × 106 Sm³ of biomethane). Comparative and sensitivity analyses show renewable energy sources reduce GHG emissions by up to 83.7% and significantly lower operating costs. This research underscores the critical role of strategic planning and renewable energy integration in optimizing the biomethane value chain for environmental sustainability and economic viability while also emphasizing the need for further research to refine these findings.

Exploring the Readiness for Electronic Voting (E-Voting) in Emerging Economies: Evidence from Dodoma, Tanzania

There has been a lot of research on e-voting recently. Most studies assume that the implementation of e-voting is not merely about technology but also relates to several critical factors, such as the readiness of human resources and infrastructure, public trust, and others. This study explored the readiness for e-voting in developing countries, a case study of Tanzania. Specifically, the study aimed to examine the challenges of the current voting system, establish the e-voting readiness status in Tanzania, and find out factors for establishment of e-voting system in Tanzania. This study was quantitative in nature and obtained data from 196 respondents selected from Independent National Electoral Commission (INEC) officers and voters in Dodoma using purposive and convenient sampling techniques. Data was obtained from questionnaires distributed to officers and voters. The obtained data were analysed through descriptive statistics by the help of MS excel. The results show that the current voting system is faced with several challenges including limited safety, lack of trust, threat and insecurity vulnerability to mention but a few. It was further revealed that respondents were ready to adopt and use e-voting because it improves voters’ trust, ease voting procedures, reduces transportation costs on election materials/equipment and saves time. The study recommends the Independent National Election Commission of Tanzania, through various stakeholders see the possibility of establishing e-voting to achieve free and fair elections.

The Impact of a New Container Port on the Greenhouse Gas Pollution

Abstract Background Large vessels that call at European ports will have to pay for their CO2 emissions from transporting cargo that enters or goes from a European port since January 2024. The costs will increase with increasing global trade. This results in a higher pollution level, including greenhouse gas (GHG) emissions like CO2. Methods/ Approach Based on the gravity model embedded in a global supply chain, we developed a model to evaluate maritime transport pollution in case a new, sufficiently large container port becomes operational. Additionally, we consider how lousy railway connections to European customers increase transportation costs and pollution. Results The approach to the well-connected sequences of gravity models in the intercontinental maritime chains evaluates the differences in quantities of cargo between ports when a new port is opened, and the waiting time does not change. We also highlight that poor rail connections can reduce this positive effect. Conclusions We showed how it is possible to estimate the optimal capacity of a new port with a multi-level gravity model and how this would affect the pollution around the port and on the routes from the port to the final consumers.