Navigation Services Research Articles

Assessment of financial screening and navigation capabilities at National Cancer Institute community oncology clinics.

Cancer-related financial hardship is a side effect of cancer diagnosis and treatment, and affects both patients and caregivers. Although many oncology clinics have increased financial navigation services, few have resources to proactively provide financial counseling and assistance to families affected by cancer before financial hardship occurs. As part of an ongoing randomized study testing a proactive financial navigation intervention, S1912CD, among sites of the National Cancer Institute Community Oncology Research Program (NCORP), we conducted a baseline survey to learn more about existing financial resources available to patients and caregivers. The NCORP sites participating in the S1912CD study completed a required 10-question survey about their available financial resources and an optional 5-question survey that focused on financial screening and navigation workflow and challenges prior to starting recruitment. The proportion of NCORP sites offering financial navigation services was calculated and responses to the optional survey were reviewed to determine current screening and navigation practices and identify any challenges. Most sites (96%) reported offering financial navigation for cancer patients. Sites primarily identified patients needing financial assistance through social work evaluations (78%) or distress screening tools (76%). Sites revealed challenges in addressing financial needs at the outset and through diagnosis, including lack of proactive screening and referral to financial navigation services as well as staffing challenges. Although most participating NCORP sites offer some form of financial assistance, the survey data enabled identification of gaps and challenges in providing services. Utilizing community partners to deliver comprehensive financial navigation guidance to cancer patients and caregivers may help meet needs while reducing site burden.

A quasi-dynamic air traffic assignment model for mitigating air traffic complexity and congestion for high-density UAM operations

In spite of the significant effects of COVID-19, UAM operations are still expected to grow smoothly and healthily in the near future. If such dense UAM traffic relies on tactical planning to resolve conflicts in a decentralized control scheme, urban airspace could soon be heavily congested and airspace complexity could be overwhelming. In this paper, we propose a Quasi-dynamic Air Traffic Assignment (QATA) model, which aims to allocate traffic flows among air routes in the planning horizon in order to organize UAM traffic flows and reduce air traffic congestion and complexity within a centralized strategic planning scheme while meeting the demand and respecting some criteria. Firstly, UAM traffics are modeled as flows that operate on a 3D two-way UAM route network. Next, the QATA problem is formulated as an optimization problem involving network dynamics to minimize the air traffic complexity evaluated by the linear dynamical system and congestion defined by traffic density and energy consumption. A simulation-based rolling horizon framework is introduced to decompose the QATA problem into several modified static air traffic assignment problems in each time interval. In order to overcome the limitations of conventional dynamic traffic assignment algorithms, a simulated annealing algorithm using parallel computing and a novel neighborhood generation strategy is proposed to efficiently optimize the problem. By applying the model to a pre-designed large-scale UAM route network in Singapore’s urban airspace, Experimental studies demonstrate the performance of the proposed framework and its applicability. Parallel computing can achieve up to three times faster than the original algorithm. The proposed algorithm significantly reduces the value of the objective function by (32.20±0.29)% in 143.47±3.74 seconds at the 95% confidence interval of 100 experiments, far better compared to the representative conventional dynamic traffic assignment algorithms. This study could be useful to assist air traffic control authorities and air navigation service providers in addressing various issues in unmanned traffic management.

Ionospheric Effect on Global Navigation Satellite System Performance - A Review

Satellite-based Communication, Navigation, Surveillance and Air Traffic Management (CNS/ATM) systems have been adopted by the international aviation community to meet the challenges of continuously rising global air traffic. Global Navigation Satellite System (GNSS) has been prescribed for the provision of navigation services to the air traffic. Performance of GNSS depends upon many factors including refraction and scintillation effects of ionosphere on the satellite signals. Severity of this effect depends largely upon the geographical location of the navigation receiver, the time of the day, the month of the year and the year on the 11-year solar cycle. This paper studies ionosphere mechanism and discusses its effect on the performance of GNSS. The paper also predicts the performance during solar cycle maximum expected in 2013-2014 [Jensen, Anna B.O., Mitchell, Cathryn 2011]. It touches upon the preparations going on to face the adverse effects of increased solar activity during the cycle maximum and recommends coordination/cooperation between various relevant organizations/institutions in the processes of data collection and development of a model.

The metadata management based on MongoDB for EAST experiment

EAST experiment device uses MDSPlus database to store a large number of experimental data. The users access the data through the API provided by MDSPlus. However, due to the large amount of internal data and the lack of unified resource directory, it is difficult to browse experimental data quickly. This paper proposes a metadata management system based on MongoDB to construct resource directory for data. Firstly, the system uses C++ language to scan the entire MDSPlus database to extract and build metadata. Secondly, based on the basic document in BSON format, the system adopts the form of document nested document array, collects all the metadata of each shot in the same document, constructs single metadata using stream document, and establishes metadata database. Thirdly, encapsulates the interface of typical query and cross cut statistics, and performs performance optimization based on index. Finally, a Web project is constructed based on "Spring Boot+Bootstrap" to provide users with database resource directory navigation services. The realization of Metadata database and metadata management system helps users quickly understand the database resource overview, and supports efficient and convenient access to experimental data.

BDS-3/BDS-2 FCB estimation considering different influencing factors and precise point positioning with ambiguity resolution

Since the full system deployment of BDS-3 in July 2020, it has provided stable and reliable positioning, navigation and timing (PNT) services for users around the world. It is an urgent task to explore the potential performance of precise point positioning (PPP) based on the full constellation of BDS-2/BDS-3. This research presented the global satellite visibility of BDS-2/BDS-3, analyzed the stability and accuracy of BDS-2 and BDS-3 rubidium clocks and hydrogen clocks, jointly estimated the BDS-2 and BDS-3 fractional cycle biases (FCB) and evaluated the PPP performance with ambiguity resolution (AR). Due to the fact that International GNSS Service (IGS) precise products have a great impact on narrow-lane (NL) FCB estimation, the FCB obtained by using the precise products from CODE (Center for Orbit Determination in Europe) and GBM (Deutsches GeoForschungsZentrum) in two different analysis centers and the FCB obtained by using GBM precise products with different calculation strategies are analyzed. In addition, the experimental data from Multi-GNSS Experiment (MGEX), EUREF (EPN) and Germany (GPN) observation networks are used to evaluate the influence of orbital errors on BDS FCB estimation. For wide-lane (WL) FCB, MGEX WL FCB has the highest accuracy, followed by EPN and GPN. On the contrary, for NL FCB, MGEX NL FCB has the worst accuracy, followed by EPN, and GPN is the best. Eventually, numerous experiment results showed that compared with the static float solution, the PPP fixed solutions in East (E), North (N) and Up (U) directions are improved by 32.9%, 27.7%, 13.8% for BDS-3 and 10.0%, 7.5%, 3.8% for BDS-2/BDS-3. Compared with the kinematic float solution, the PPP fixed solutions in E, N and U directions are improved by 27.9%, 23.4%, 16.6% for BDS-3 and 15.9%, 8.9%, 5.3% for BDS-2/BDS-3.

Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management

Effective and time-efficient aircraft assistance and guidance in severe weather environments remains a challenge for air traffic control. Air navigation service providers around the globe could greatly benefit from specific and adapted meteorological information for the controller position, helping to reduce the increased workload induced by adverse weather. The present work proposes a radar-based nowcasting algorithm providing compact meteorological information on convective weather near airports for introduction into the algorithms intended to assist in air-traffic management. The use of vertically integrated liquid density enables extremely rapid identification and short-term prediction of convective regions that should not be traversed by aircraft, which is an essential requirement for use in tactical controller support systems. The proposed tracking and nowcasting method facilitates the anticipation of the meteorological situation around an airport. Nowcasts of centroid locations of various approaching thunderstorms were compared with corresponding radar data, and centroid distances between nowcasted and observed storms were computed. The results were analyzed with Method for the Object-Based Evaluation from the Model Evaluation tools software (MET-10.0.1, Developmental Testbed Center, Boulder, CO, US) and later integrated into an assistance arrival manager software, showing the potential of this approach for automatic air traffic assistance in adverse weather scenarios.

Hospital-based transitional housing and care at discharge for persons experiencing homelessness

ABSTRACT People identifying as homeless in high income countries are becoming older and more medically complex. Previous studies have demonstrated the health and social benefits of various housing interventions for people who are homeless after hospital discharge. In this pre-/post-intervention cohort study, we recruited 57 participants from two transitional housing programs on the grounds of a single inner-city tertiary care center. In comparison to the 12 months prior to attending the transitional housing program, the number of hospital admissions decreased by 45% in the 12 months thereafter from an average of 2.0 to 1.1 admissions (p = 0.01). The number of inpatient days decreased by 64% from an average of 23.2 to 8.3 days (p < 0.01). Housing status at 12 months after baseline interviews had improved for 42% of our participants. Through our qualitative interviews with participants, key strengths of the programs included the trauma-informed approach and social service navigation provided by staff members, as well as the stable physical environment with proximity to comprehensive healthcare and social resources. Among hospitalized individuals facing homelessness, our study demonstrates that participation in a hospital-based transitional housing program can be associated with reductions in hospitalizations and hospital length of stay, and improved housing status.

Using a theory-informed approach to guide the initial development of a post-tuberculosis care package in British Columbia, Canada

BackgroundThe importance of addressing the long-term needs of tuberculosis (TB) survivors is gaining increasing attention. One promising approach to improving post-TB care is implementing a post-TB care package. With a specific focus on the perspectives of healthcare providers in British Columbia, Canada, this study aimed to (1) determine a set of components to be included in a post-TB care package, (2) explore barriers and facilitators influencing their implementation, and (3) propose potential solutions to overcome identified challenges.MethodsEmploying a multi-method approach guided by the Theoretical Domains Framework, we first conducted virtual workshops with TB care providers and utilized a modified Delphi process to establish a preliminary list of care package components. Then, we surveyed healthcare providers using closed-ended, Likert-scale questions to identify implementation barriers and enablers. Lastly, we mapped the identified barriers and enablers to establish behaviour change techniques to identify possible solutions to overcome the challenges identified.ResultsEleven participants attended virtual workshops, and 23 of 51 (45.1%) healthcare providers completed questionnaires. Identified components of the post-TB care package included:1. Linking people with TB to a primary care provider if they do not have one.2. Referring people with pulmonary TB for an end-of-treatment chest x-ray and pulmonary function testing.3. Referring people with TB who smoke to a smoking cessation specialist.4. Sharing a one-page post-TB information sheet with the patient's primary care provider, including a summary of post-TB health concerns, complications, and recommendations to prioritize age-appropriate screening for cardiovascular disease, lung cancer, and depression.Survey results indicated that domain scores for ‘environment, context, and resources’ were the lowest, suggesting potential implementation barriers. Care navigation services to help individuals overcome health system barriers while transitioning from TB care, information leaflets, and checklists summarizing key post-TB health concerns for patients and healthcare providers to help facilitate discussions may help overcome the identified barriers.ConclusionHealthcare providers in British Columbia acknowledge that post-TB care is integral to comprehensive health care but are limited by time and resources. Care navigation services, a post-TB checklist, and patient information leaflets may help resolve some of these barriers.

GM(1,1)-Based Weighted K-Nearest Neighbor Algorithm for Indoor Localization

Along with the IoT technology, the importance of indoor positioning is increasing, but the accuracy of the traditional fingerprint positioning algorithm is negatively affected by the complex indoor environment. This issue of low indoor spatial geolocation localization accuracy when the signal is collected away from the present stage occurs due to the signal instability of the iBeacon in the traditional fingerprint localization algorithm, which generates a variety of factors such as object blocking and reflection, multipath effect, etc., as well as the scarcity of reference fingerprint data points. In response, this study proposes an inverse distance-weighted optimization WKNN algorithm for indoor localization based on the GM(1,1) model. By implementing GM(1,1) model pre-process leveling, the original fingerprint library was reconstructed into a large-capacity fingerprint database using the inverse distance-weighted interpolation method. The local inverse distance-weighted interpolation was used for interpolation, combined with the WKNN algorithm to complete the coordinate solution in real time. This effectively solved the issue of low localization accuracy caused by the large fluctuation of the received signal strength (RSS) sampling measurement data and the existence of few reference fingerprint datapoints in the fingerprint database. The results show that this algorithm reduced the average positioning error by 5.9% compared with ordinary kriging (OK) interpolation leveling and reduced the average positioning error by 18.2% compared with the indoor spatial location accuracy of the original fingerprint database, which can effectively improve the positioning accuracy and provide technical support for indoor location and navigation services.

The Impact of Cloud Computing on Firms: A Case Study of Cloud Adoption in Saudi Airline Navigation Services Company

The world has become increasingly digital. Companies rely on technology to assist them in improving their business processes. They are searching for an information system capable of handling massive work. An Enterprise Resource Planning system (ERP) comes into play at this point. Most ERP systems have been implemented on-premise, also known as traditional ERP systems. ERP system offers a variety of advantages, including integrated submodules, mature system functionality, and enhanced customization and integration capabilities. Other software applications have shifted to cloud computing over the past decade, which has become one of the fastest-growing segments of the IT industry. In addition, cloud computing is a modern trend that reveals the architecture of the next generation of applications. In this paper, we present a case study of Saudi Air Navigation Services company regarding their migration to cloud computing, highlighting the key concepts and services that cloud computing provides today and its impact on their businesses. This research aims to provide a better understanding of the cloud computing transformation.

An integrated region proposal and spatial information guided convolution network based object recognition for visually impaired persons’ indoor assistive navigation

ABSTRACT Multiple view object recognition is challenged by the impact of various view-angles on intra-class relationships. Visually impaired individuals can benefit from accurate navigation services with a navigation system that enables them to avoid obstacles to their destination. An indoor object detection framework called RSIGConv, based on an integrated Region proposal and Spatial Information Guided Convolution network, is proposed in this paper for visually impaired people. To obtain mutual complementarity (MC) features, the RGB and HHA feature maps are fused using the Information Translation Module (ITM). The hyper-parameters are optimized using the Bayesian optimization Algorithm (BOA) to reduce train error and the gap between train error and validation error. The proposed object detection framework is evaluated using the publicly available SUN RGB-D dataset and compared with previous prediction models. The simulation outputs demonstrate that the model overtakes existing approaches, achieving an accuracy of 97.77%.

The Extraction and Characterization of Pseudorange Multipath Based on BDS-3 Multi-Frequency Observations.

Global Navigation Satellite System (GNSS) observations are subject to various errors during their propagation process. A reasonable correction of these errors can improve the positioning, navigation, and timing (PNT) service capability. The impact of multipaths on pseudorange observations can reach a decimeters or even meters level. However, their mechanism is complex and there is currently no universally accepted high-precision correction model. The correlation between the pseudorange multipaths (MP) of BDS-2 satellites and satellite elevation has been confirmed, while there have been fewer analyses of the MP characteristics for different frequencies of BDS-3 satellites. The broadcasting of multi-frequency observations in BDS-3 should theoretically make the extracted MP more accurate compared to traditional methods. Based on this, in this contribution, a multi-frequency MP extraction algorithm based on the least squares principle is proposed, which can simultaneously eliminate the influence of higher-order ionospheric delay. The analytical expression for only eliminating first-order ionospheric delay is successfully derived. Subsequently, the characteristics of the MPs extracted from different frequency combinations and the impact of combination noise on the extraction accuracy are discussed. The influence of second-order ionospheric delay on the MPs for each frequency under different combination noises, as well as the periodic behavior exhibited in long-term observations of the BDS-3 medium earth orbit (MEO) and inclined geosynchronous orbit (IGSO) satellites, are also analyzed. Finally, the correlations between the MPs of each frequency of BDS satellite and elevation are quantitatively analyzed based on observations from 35 stations. Overall, this work has positive implications for the study of the MP characteristics of BDS-3 and subsequent modeling efforts.

A Lightweight Privacy-preserving Path Selection Scheme in VANETs

&lt;p&gt;With the rapid development of edge computing, artificial intelligence and other technologies, intelligent transportation services in the vehicular ad hoc networks (VANETs) such as in-vehicle navigation and distress alert are increasingly being widely used in life. Currently, road navigation is an essential service in the vehicle network. However, when a user employs the road navigation service, his private data maybe exposed to roadside nodes. Meanwhile, when the trusted authorization sends the navigation route data to the user, the user can obtain all the road data. Especially, other unrequested data might be related to the military. Therefore, how to achieve secure and efficient road navigation while protecting privacy is a crucial issue. In this paper, we propose a privacy-preserving path selection protocol that supports a token as the object in the oblivious transfers, which effectively reduces the communication overhead. In addition, a lightweight dual authentication and group key negotiation protocol is provided to support dynamic joining or leaving of group members. Moreover, it can guarantee the security of forward data. After experimental analysis, the proposed protocol has high security and efficiency.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Using Quality Improvement to Design Early Childhood Services Navigation in Primary Care.

We used the Institute for Healthcare Improvement's Model for Improvement. Interventions included system changes in partnership with ECE agencies (eg, interactive map of subsidized preschool options, streamlined enrollment forms), case management with families, and population-based approaches to understand families' needs and the program's overall impact. We plotted the number of monthly facilitated referrals and the percentage of referrals enrolled on run and control charts. We used standard probability-based rules to identify special causes. Facilitated referrals increased from 0 to 29 per month and remained above 15. The percentage of enrolled referrals increased from 30% to 74% in 2018, then decreased to 27% in 2020 when childcare availability declined during the pandemic. Our innovative ECE partnership improved access to high-quality ECE. Interventions could be adopted in part or whole by other clinical practices or WIC offices to equitably improve early childhood experiences for low-income families and racial minorities.

Analysis of route choice based on path characteristics using Geolife GPS trajectories

ABSTRACT Navigation services are essential for daily navigation, providing turn-by-turn instructions to help wayfinders reach their destinations. These services often differ from the heuristics wayfinders use, resulting in a poor user experience. Researchers have attempted to address this issue by developing algorithms that find less complex routes, by integrating prominent locations along the route to make wayfinding easier and to improve a wayfinder’s knowledge about the environment. These approaches, however, have taken a bottom-up approach, involving a limited number of participants navigating in real or virtual environments which may limit generalisability of results. In this study, we took a top-down approach by analysing a large dataset of GPS-based trips in the real world. Using the Geolife dataset, we analysed individual heuristics for route selection in terms of complexity and prominent locations, and found that wayfinders prefer less complex routes, such as routes that require fewer turns or involve simpler intersections. Additionally, we found that wayfinders choose routes with fewer prominent locations, such as routes that bypass well-known landmarks or busy commercial areas. These findings suggest that simplicity and ease of use are prioritized when selecting a route, while overly complex routes or areas with many points of interest are avoided.

Structural Health Monitoring in Long-Span Steel Structures Based on the BeiDou Navigation Satellite System.

The BeiDou navigation satellite system (BDS) provides precise positioning, navigation, and timing (PNT) services in the Asia-Pacific Region, but the BDS-based structural health monitoring (SHM) approach (SHM) is rarely studied, especially in civil engineering. Moreover, how BDS can be applied to complete the tasks of SHM in a real project is also not fully investigated, especially working in conjunction with other techniques. This study aims to propose a BDS-based approach for SHM in civil engineering. The performance of the proposed approach is investigated through a case study-the Tianhan Grand Theater (TGT). A specific Tianhan system corresponding to BDS is proposed to complete the SHM tasks of TGT. Based on the collected data, the trusses with maximum displacement and stress are found by BDS to evaluate structural health in the construction stage. The results show that the maximum displacement and stress have certain safety reserves and meet the requirements of the specifications and regulations. Thus, BDS can satisfactorily complete the tasks of SHM for Long-span steel structures. This study gives a clear view to engineers and researchers that how to apply BDS in structural construction and provides a valuable real case for evaluating the performance of BDS in SHM.

Analysis of The Performance Model of Air Traffic Controllers (ATC) at Airnav Indonesia Balikpapan Branch

As professionals who ensure the safe and efficient operation of air navigation in a specific air space, Air Traffic Controllers (ATC) shall possess maximum performance since their responsibility is related to the safety of many human lives. The purpose of this study is to analyze the factors affecting the behavior of the Air Traffic Controller (ATC) performance model on duty at Airnav Indonesia branch Balikpapan. This research is quantitative and explorative research conducted on all populations of 38 active ATC working in air navigation service provider (ANSP) in Airnav Indonesia Balikpapan for six months from March to August 2022. Data was collected by distributing questionnaires to 38 respondents and conducting 38 interviews. The results demonstrate that Compensation has a positive and significant effect on performance, Competence moderates the relationship between compensation and performance in a positive and significant way, Compensation has a significant positive effect on Employee Engagement, Career Development has a significant positive effect on Employee engagement, Employee engagement has a significant positive effect on performance, and Employee Engagement as a mediating variable that has a significant positive effect on career development and performance. The implications of the findings of this study as a reference for future policy development and human resource development at Airnav Indonesia Balikpapan, in order to improve the quality of air traffic services and flight safety.

Structure-guided camera localization for indoor environments

Camera-based indoor localization is a fundamental aspect of indoor navigation, virtual reality, and location-based services. Deep learning methods have exhibited remarkable performance with low storage requirements and high efficiency. However, existing methods mainly derive features implicitly for pose regression without considering explicit structure information from images. This paper proposes that incorporating such information can improve the localization performance of learning-based approaches. We extract structure information from RGB images in the form of depth maps and edge maps and design two modules for depth-weighted and edge-weighted feature fusion. These modules are integrated into the pose regression network to enhance pose prediction. Furthermore, we employ a self-attention module for high-level feature extraction to augment the network capacity. Extensive experiments are conducted on the publicly available 7Scenes and 12Scenes datasets, and the results demonstrate that the proposed method achieves high localization performance, with an average positional error of 0.19m and 0.16m, respectively. The code for this work is available at https://github.com/lqing900205/structureLoc.

Multi-orbit lunar GNSS constellation design with distant retrograde orbit and Halo orbit combination

The Moon is the closest natural satellite to mankind, with valuable resources on it, and is an important base station for mankind to enter deep space. How to establish a reasonable lunar Global Navigation Satellite System (GNSS) to provide real-time positioning, navigation, and timing (PNT) services for Moon exploration and development has become a hot topic for many international scholars. Based on the special spatial configuration characteristics of Libration point orbits (LPOs), the coverage capability of Halo orbits and Distant Retrograde Orbit (DRO) in LPOs is discussed and analyzed in detail. It is concluded that the Halo orbit with a period of 8 days has a better coverage effect on the lunar polar regions and the DRO has a more stable coverage effect on the lunar equatorial regions, and the multi-orbital lunar GNSS constellation with the optimized combination of DRO and Halo orbits is proposed by combining the advantages of both. This multi-orbital constellation can make up for the fact that a single type of orbit requires a larger number of satellites to fully cover the Moon, using a smaller number of satellites for the purpose of providing PNT services to the entire lunar surface. We designed simulation experiments to test whether the multi-orbital constellations meet the full lunar surface positioning requirements, and compare the coverage, positioning, and occultation effects of the four constellation designs that pass the test, and finally obtain a set of well-performing lunar GNSS constellations. The results indicate that the multi-orbital lunar GNSS constellation combining DRO and Halo orbits can cover 100% of the Moon surface, provides there are more than 4 visible satellites at any time on the Moon surface, which meets the navigation and positioning requirements, and the Position Dilution of Precision (PDOP) value is stable within 2.0, which can meet the demand for higher precision Moon surface navigation and positioning.

Risk Transfer Strategy and Performance of Air Safety Projects in Civil Aviation Industry in Nairobi County, Kenya

The aviation industry plays a major role in the world economy and plays a key role in the realization of Kenya Vision 2030 and the Big Four Agenda. ICAO strives to implement practical and achievable measures to improve air safety and efficiency in the air transportation system, such as Global Air Navigation Plan (GANP) and Aviation System Block Upgrades (ASBU) methodology. The KCAA Airspace Master Plan for 2015–2030 delivers a number of recommendations for the project implementation plan of CNS technologies that will supplement the airspace infrastructure in Kenya. Most of these recommendations stem from the priorities allocated to ICAO ASBU modules to meet the KCAA operational objectives. This project implementation plan is structured to cover Air Navigation Services (ANS). Performance of air safety projects has remained below the global targets in most African states and, consequently, high accident rates. Risk transfer strategy have been identified as one of the factors that affect project performance in other industries. The purpose of this study was to investigate the effect of risk transfer strategy on the performance of air safety projects in the civil aviation industry in Nairobi County, Kenya. The specific objective of the study was to determine the influence of risk transfer strategy on the performance of air safety projects in the civil aviation industry in Kenya. The study was guided by Agency Theory. A descriptive research design was adopted, and the target population comprised 277 KCAA staff in the ANS department stationed in different stations in Nairobi County. Slovin’s formula was used to obtain a sample population of 164 from a target population of 277. The study used primary data that was gathered by administering questionnaires. Then the data were summarized and analyzed using descriptive and inferential statistics. Descriptive statistics comprised mean, averages, and standard deviation, while inferential statistics comprised correlation and regression analysis. SPSS software was used to generate the statistics. The findings of the study were presented in the form of tables, frequencies, and percentages to ease interpretations and understanding. Findings from correlation and regression statistics indicated that risk transfer had a positive and significant influence on the performance of air safety projects in the civil aviation industry. This study strongly recommends that more research is required to confirm if the findings hold for other types of public institutions in the transport sector. Future researchers could look into risk transfer strategies in the context before and after the coronavirus disease 2019 (COVID-19) pandemic and how it impacts the performance of air safety projects in the civil aviation industry