Analysis Of Relative Importance Research Articles

Relative Importance Analysis of Purchasing Decision Factors for Residential Properties in Bandar Seri Iskandar, Perak, Malaysia

A limited supply of houses and a rapidly increasing population have caused house prices to skyrocket. The main objective of this study is to understand the consistency in purchasing residential properties among homebuyers in Seri Iskandar, Perak. The questionnaires distributed to a sample of 110 respondents in Bandar Seri Iskandar. The analysis methods are the Relative Importance Index and Descriptive Analysis. This study revealed that the most significant factors influencing home buyers’ purchase decisions of residential properties in Seri Iskandar is neighbourhood factors. Hence, this study is essential to improve the knowledge of the property developer for new development.Keywords: Home Ownership; Relative Importance Analysis; Purchase decision factor; Residential and property developerseISSN: 2398-4287 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v4i11.1648

국내 팔로워십 연구대상 집단별 팔로워십 역량개발 요구도 및 상대적 중요도 분석

국내 팔로워십 연구대상 집단별 팔로워십 역량개발 요구도 및 상대적 중요도 분석

Predicting success in pharmaceutical calculations

IntroductionUnderstanding preadmission predictors of success in pharmacy calculations, an important aspect of pharmacy practice, could impact admissions selection and advising practices. The objective of this study was to determine which student specific preadmission variables best predict success in a pharmaceutical calculations course. MethodsPreadmission data from 388 students who completed a one semester pharmaceutical calculations course between 2013 and 2016 were evaluated. This retrospective analysis was performed to determine which of the independent preadmission variables were positively correlated to the pharmaceutical calculations course grade. Fifteen preadmission variables, including demographics, grade point average (GPA), Pharmacy College Admission Test (PCAT) score, prior degrees, and number of pre-professional credit hours completed, were evaluated. Descriptive statistics were used for baseline characteristics and relative importance analysis was used to examine association between the dependent and independent variables. ResultsThe relative importance analysis revealed eight of the fifteen preadmission variables were significantly correlated with final grades in pharmaceutical calculations. Overall, 26.1% of the variance was explained by these variables. GPA (cumulative and science specific) and PCAT (quantitative and verbal) were the strongest indicators. ConclusionsPreadmission GPA and PCAT scores were the best predictors of success in a pharmaceutical calculations course. About one quarter of the variance was explained by the identified predictive variables, therefore other factors, not evaluated in this study, likely influence the success in pharmaceutical calculations and should be investigated to determine a more dependable set of predictors.

Diversity and drivers of plant species on Turkish university campuses

The biodiversity of urban areas is strongly affected by anthropogenic impacts, with implications for ecosystem functions and human well-being. Plant diversity can be variable and exceptionally high across urban areas. This study aimed to determine the drivers of variation in plant species richness across university campuses in Turkey. I compiled published and unpublished floristic data from 33 Turkish university campuses. Explanatory data for each campus was collected, including campus area, campus age, climatic variables (temperature, precipitation) and topography. I investigated drivers of richness patterns for total species, cultured (planted) and endemic species, analysing the data using multiple linear regression. Relative variation importance analysis (RVI) was conducted to test the importance of each variable for all significant regression models. I found that Turkish universities had remarkable plant diversity. Total species richness was driven by campus area while planted species richness was driven by campus age, and endemic species richness was driven by elevation and area. Turkish universities house valuable plant reserves that can be used for educational purposes as well as biodiversity conservation.

공연분야 공공 문화예술기관 성과평가지표의 상대적 중요도 분석: AHP 분석기법을 중심으로*

공연분야 공공 문화예술기관 성과평가지표의 상대적 중요도 분석: AHP 분석기법을 중심으로*

Leaf Age Compared to Tree Age Plays a Dominant Role in Leaf δ13C and δ15N of Qinghai Spruce (Picea crassifolia Kom.)

Leaf stable isotope compositions (δ13C and δ15N) are influenced by various abiotic and biotic factors. Qinghai spruce (Picea crassifolia Kom.) as one of the dominant tree species in Qilian Mountains plays a key role in the ecological stability of arid region in the northwest of China. However, our knowledge of the relative importance of multiple factors on leaf δ13C and δ15N remains incomplete. In this work, we investigated the relationships of δ13C and δ15N to leaf age, tree age and leaf nutrients to examine the patterns and controls of leaf δ13C and δ15N variation of Picea crassifolia. Results showed that 13C and 15N of current-year leaves were more enriched than older ones at each tree age level. There was no significant difference in leaf δ13C values among trees of different ages, while juvenile trees (<50 years old) were 15N depleted compared to middle-aged trees (50–100 years old) at each leaf age level except for 1-year-old leaves. Meanwhile, relative importance analysis has demonstrated that leaf age was one of the most important indicators for leaf δ13C and δ15N. Moreover, leaf N concentrations played a dominant role in the variations of δ13C and δ15N. Above all, these results provide valuable information on the eco-physiological responses of P. crassifolia in arid and semi-arid regions.

Body Mass and Femur Length Are Inversely Related to Repetitions Performed in the Back Squat in Well-Trained Lifters.

Cooke, DM, Haischer, MH, Carzoli, JP, Bazyler, CD, Johnson, TK, Varieur, R, Zoeller, RF, Whitehurst, M, and Zourdos, MC. Body mass and femur length are inversely related to repetitions performed in the back squat in well-trained lifters. J Strength Cond Res 33(3): 890-895, 2019-The purpose of this research note was to examine whether relationships existed between anthropometrics (body mass, body fat percentage [BF%], and femur length) and descriptive characteristics (age and sex) with repetitions performed to failure at 70% of 1 repetition maximum (1RM) in the back squat. Fifty-eight subjects (males = 43, females = 15; age: 23 ± 3 years, training age: 5.5 ± 2.5 years, body mass: 80.65 ± 16.34 kg, BF%: 10.98 ± 3.53%, and femur length: 47.1 ± 2.6 cm) completed a 1RM squat followed by one set to failure at 70% of 1RM. Total repetitions performed at 70% of 1RM were 14 ± 4 (range: 6-26). Bivariate correlations showed significant inverse relationships between body mass (r = -0.352, p = 0.003), BF% (r = -0.278, p = 0.014), and femur length (r = -0.265, p = 0.019), with repetitions performed. No significant relationships existed between age and sex (p > 0.05), with repetitions performed. All these variables entered into a standard multivariate regression. The model R was 0.200, and body mass had the largest influence (p = 0.057) because relative importance analysis demonstrated body mass to contribute to 43.87% of the variance (of the R) in repetitions performed. No other variable was significant or approached significance (p > 0.05). Our results reveal that body mass, BF%, and femur length all are inversely related to repetitions performed at 70% of 1RM in the back squat.

A network-modeling approach to investigating individual differences in articulatory-to-acoustic relationship strategies

This study represents an exploratory analysis of a novel method of investigating variation among individual speakers with respect to the articulatory strategies used to modify acoustic characteristics of their speech. Articulatory data (nasalization, tongue height, breathiness) and acoustic data (F1 frequency) related to the distinction of three nasal-oral vowel contrasts in French were co-registered. Data were collected first from four Southern French (FR) speakers and, subsequently, from nine naïve Australian English listeners who imitated the FR productions. Articulatory measurements were mapped to F1 measurements using relative importance analysis (RIA), and the RIA coefficients were used to create similarity scores among all of the speakers. The similarity scores were then used to build network models for each nasal-oral vowel pair, using the spinglass algorithm to identify communities of shared articulatory-to-acoustic strategies within each network. The results show that network grouping is rarely based on language-dependent articulatory-to-acoustic strategies, but evidence of inter- and intra-speaker consistency is observed: Individual speakers tend to group together in their articulatory-to-acoustic strategies across vowel pairs, and most speakers have consistent articulatory-to-acoustic mappings across vowel pairs. Evidence is also observed which highlights the multi-dimensional nature of vowel nasality, rather than the uni-dimensional assumption of “nasal” vowels as merely oral vowels produced with a lowered velum.

A Study on the Relative Importance of Evaluation Factors for Improvement of Port Security

The purpose of this study was to extract the evaluation factors and assess the relative importance between the factors. For this purpose, the evaluation factors were extracted through literature review and the process of brainstorming with experts, who are related to port security. The evaluation factors were then classified into four higher factors and twelve sub- factors through the use of the AHP method. A survey on the classified factors was conducted by experts composed of public officials, port authority employees and education institutions officials. We also carried out statistical tests to determine the perception gap of weights between the groups. As a result of a relative importance analysis of strength, the security operating system factor was highest, followed by improvement of hardware facilities and increase of security personnel. There was a difference in perception among the groups in policy support, facility support and personnel resourcesㆍbudget support. The results of the analysis show that the strength operating system through the establishment of an integrated monitoring system is a priority. It is necessary to understand the difference of perception between groups and build a systematic cooperation system. The evaluation factors extracted from this study can be used for the measurement of port security efficiency in further work.

Artificial neural network modeling-coupled genetic algorithm optimization of supercritical methanol transesterification of Aegle marmelos oil to biodiesel

This study aims to enhance the transesterification process to convert supercritical methanol (SCM) to biodiesel by applying artificial neural network-coupled genetic algorithm (ANN-GA) optimization. The process parameters selected for ANN-GA optimization were temperature of 230–350 °C, methanol-to-oil molar ratio of 24:1 to 48:1, and time of 5–25 min. The initial set of experiments were designed using the central composite design for ANN modeling. The best ANN topology with an optimal number of hidden neurons was obtained by heuristic analysis of coefficient of determination (R) and mean square error values. The R values (1, 0.99986, 0.9998 and 0.99997) for training, validation, testing, and overall prove the precision of the ANN model. Moreover, hypothesis tests were accomplished to enumerate model fitness. The GA-optimized process conditions for SCM transesterification using ANN as the fitness function were temperature of 325.5 °C, methanol-to-oil molar ratio of 41:1, and time of 23 min. Additionally, relative importance analysis was executed to ascertain the most influential variable on the SCM process. The major fuel properties of Aegle marmelos biodiesel were analyzed and found to comply well with American Society for Testing and Materials (ASTM) D6751 standards.

Principal component analysis of driver challenges in the shared taxi market in Ghana

Although taxis supplement other public transport modes in solving mobility deficits in the Sunyani municipality, Ghana, there are myriad of challenges confronting drivers in the shared taxi market. This paper identified challenges of the shared taxi drivers in the shared taxi market and recommended solutions to enhance the effective operation of the shared taxi services in the municipality. An interviewer-administered questionnaire was developed in EpiInfo using 59 variables (challenges) identified through literature search and shared taxi drivers asked to numerically rate these challenges on a Likert scale of 1 (Strongly Challenging) to 5 (Strongly Unchallenging). Relative Importance Analysis was used to determine challenges the shared taxi drivers ranked the highest while an Exploratory Factor Analysis (EFA) was used to model the latent variables. On a relative importance scale, the topmost six challenges facing shared taxi drivers in the municipality are; lack of bus bays or stopping places, unavailability of pedestrian walking facilities, extortion charges by law enforcers, the high insurance charges, the high cost of spare parts and frequency of hospital attendance. After EFA, the following six challenges were highlighted; economic and quantitative related challenges, health and welfare related challenges, taxi condition and transport infrastructure related challenges, time wastage related challenges, safety and security-related challenges, as well as compensation cost related challenges.

A Study on Identification and Relative Importance Analysis of Vocational High School Teachers’Teaching Competency for Microprocessor Course on NCS-based Curriculum

A Study on Identification and Relative Importance Analysis of Vocational High School Teachers’Teaching Competency for Microprocessor Course on NCS-based Curriculum

Analysis of dynamic decomposition for barium dimethyl-naphthalene-sulfonate on an Al3Mg (0 0 1) surface from ab-initio molecular dynamics

One important dynamic decomposition pathway for a surface corrosion-inhibitor: barium dimethyl- naphthalene-sulfonate, is investigated on a clean Al3Mg (0 0 1) binary-alloy surface using ab-initio molecular dynamics based upon density functional theory. Each inhibitor molecule is oriented its functional groups of sulfonic-oxygen bases toward the surface, starting at an initial impact velocity. The dynamic decomposition pathway occurs upon molecular collision with the surface, leading to the decomposed fragments that may clearly represent the initial formation stage of additive thin-film on the surface during a plastic substrate deformation. In addition, three important factors: initial impact speed acting on molecule (kinetic effect), substrate temperature (thermal effect) and initial molecular orientation (geometric effect) etc, are employed to analyze their influences on molecular decomposition. An approach of design-of-experiment (DOE) is applied to an analysis of relative importance for each factor and all factor interactions in above, so as to figure out the best way of surface protection. Final DOE analysis indicates that the most significant factor for promoting molecular decomposition on surface is the substrate temperature, i.e., the higher the substrate temperature, the more rapid decomposition of molecule on surface. While initial impact velocity plays a smaller role, and initial molecular orientation performs less importance to molecular decomposition.

Liraglutide treatment improves postprandial lipid metabolism and cardiometabolic risk factors in humans with adequately controlled type 2 diabetes: A single-centre randomized controlled study.

AimsPatients with type 2 diabetes and non‐alcoholic fatty liver disease (NAFLD) exhibit considerable residual risk for cardiovascular disease (CVD). There is, therefore, increasing interest in targeting postprandial lipid metabolism and remnant cholesterol. Treatment with the glucagon‐like peptide 1 (GLP‐1) analogue liraglutide reduces CVD risk by mechanisms that remain unexplained in part. Here we investigated the effects of liraglutide intervention on ectopic fat depots, hepatic lipogenesis and fat oxidation, postprandial lipid metabolism and glycaemia in humans with type 2 diabetes.MethodsThe effect of liraglutide was investigated in 22 patients with adequately controlled type 2 diabetes. Patients were randomly allocated, in a single‐blind fashion, to either liraglutide 1.8 mg or placebo once daily for 16 weeks. Because liraglutide is known to promote weight loss, the study included dietary counselling to achieve similar weight loss in the liraglutide and placebo groups. Cardiometabolic responses to a high‐fat mixed meal were measured before and at the end of the liraglutide intervention.ResultsWeight loss at Week 16 was similar between the groups: −2.4 kg (−2.5%) in the liraglutide group and −2.1 kg (−2.2%) in the placebo group. HBA1c improved by 6.4 mmol/mol (0.6%) in the liraglutide group (P = 0.005). Liver fat decreased in both groups, by 31% in the liraglutide group and by 18% in the placebo group, but there were no significant changes in the rate of hepatic de novo lipogenesis or β‐hydroxybutyrate levels, a marker of fat oxidation. We observed significant postprandial decreases in triglycerides only in plasma, chylomicrons and VLDL, and remnant particle cholesterol after treatment in the liraglutide group. Fasting and postprandial apoCIII concentrations decreased after liraglutide intervention and these changes were closely related to reduced glycaemia. In relative importance analysis, approximately half of the changes in postprandial lipids were explained by reductions in apoCIII concentrations, whereas less than 10% of the variation in postprandial lipids was explained by reductions in weight, glycaemic control, liver fat or postprandial insulin responses.ConclusionsIntervention with liraglutide for 16 weeks produces multiple improvements in cardiometabolic risk factors that were not seen in the placebo group, despite similar weight loss. Of particular importance was a marked reduction in postprandial atherogenic remnant particles. The underlying mechanism may be improved glycaemic control, which leads to reduced expression of apoCIII, a key regulator of hypertriglyceridaemia in hyperglycaemic patients.

Predictive Validity toward Job Performance of General and Specific Mental Abilities. A Validity Study across Different Occupational Groups

There are two main views on the role of cognitive abilities in job performance prediction. The first approach is based on meta-analysis and incremental validity analysis research and the main assumption is that general mental ability (GMA) is the best job performance predictor regardless of the occupation. The second approach, referred to as specific validity theory, assumes that job-unique weighting of different specific mental abilities (SMA) is a better predictor of job performance than GMA and occupational context cannot be ignored when job performance is predicted. The validity study of both GMA and SMA as predictors of job performance across different occupational groups (N = 4033, k = 15) was conducted. The results were analyzed by calculating observed validity coefficients and with the use of the incremental validity and the relative importance analysis. The results supports the specific validity theory – SMA proved to be a valid job performance predictor and occupational context moderated GMA validity.

Analysis of Relative Importance of Experts on Improvement Strategies of Psychological Recovery Support System for Disaster Victims

재난 현장에서 심리적 충격에 상시 노출되는 소방공무원의 경우 많은 선행 연구가 이루어지고 있으며, 외상 후 스트레스 장애를 치유하기 위한 정책과 제도가 마련되어지고 있지만, 일반인의 경우 피해당사자, 유족, 및 사회 공동체(국민 전체)가 경험하는 외상 후 스트레스를 해소할 수 있도록 지원하는 제도적 장치가 미흡한 실정이다. 재난으로 인해 심리적 외상 사건을 경험한 사회구성원들의 정상적인 사회복귀를 돕기 위해 치유와 관리 체계의 개선 방안을 모색하는데 그 목적을 두고 있다. 따라서, 재난현장에서 재난피해자를 1차적으로 접촉하는 전문가 집단인 소방공무원들과, 재난현장에 투입되어 재난피해자와 심리상담 업무를 수행한 경험이 있는 심리상담 활동가, 행정청에서 재난심리회복지원업무를 담당하는 공무원, 그리고, 재난관련 연구에 임하고 있는 재난 관련학과 교수들의 의견을 수렴하고 이에 대한 분석을 통해 현행 재난피해자심리회복지원에 대한 상대적 중요도와 우선순위를 AHP분석기법을 활용하여 살펴보았다. 전문가들의 의견은 법ㆍ제도적인 요인의 개선이 최우선적으로 고려되어야 하며 관련부서별 연계시스템 강화가 2순위로, 심리회복지원 예산의 증액이 3순위로 중요 하다고 인식하고 있다. 따라서 법령의 제정과 현행 「재난 및 안전에 관한 법률」, 「재해구호법」의 개정을 통해 재난피해자들의 신속한 일상의 복귀를 도와야 할 것이며, 관련기관간의 상호 연계시스템 을 구축하고, 관련 예산의 증액이 필요하다 할 것이다. 또한, 재난피해자 심리회복지원 프로그램에 대한 대국민 홍보를 통해 재난심리피해에 대한 사회적 인식을 전환해야 하며, 재난 당시뿐만 아니라 시간이 경과한 후에도 지속적인 고통을 받는 피해자의 구제를 위해 지속적인 관리 프로그램을 시행해야 할 것이다.In the case of firefighting civil servants many previous studies have been conducted, and although policies and systems are being prepared to heal post‐traumatic stress disorders, in the case of the general public, it is true that institutional devices to support post‐traumatic stress experienced by victims, survivors, and social communities (whole citizens) are insufficient. By experiencing a psychological trauma incident due to a disaster, to help the normal social return of people with post‐traumatic stresses, the purpose of this study lies on finding strategies to improve the healing and management system. Therefore, this study collect opinions from firefighting public officials, who are experts in the primary contact with disaster victims, psychological counselors who have been involved in the disaster and experience psychological counseling with disaster victims, public officials who are in charge of supporting disaster recovery at the administrative office, and disaster related department professors who are engaged in disaster related research, and through the analysis, the relative importance and priorities of current disaster victims psychological recovery support were examined using AHP analysis technique. According to opinions of experts, the improvement of legal and institutional factors should be considered as the first priority, the second is to strengthen the linkage system between related departments, and the third is to increase the budget for psychological recovery support. Therefore, through the enactment of laws and the revision of the current Disaster and Safety Act and Disaster Relief Act , it is necessary to help return victims to their daily lives quickly, and it is necessary to establish a mutual linkage system between the related institutions and increase the related budget. In addition, the social awareness of disaster psychological damage should be changed through public relations for disaster victim psychological recovery support programs, and a continuing management program should be implemented not only at the time of the disaster but also for the relief of victims who are suffering continually even after the time has passed.

Clinical Model of Exercise-Related Dyspnea in Adult Patients With Cystic Fibrosis

Dyspnea is a highly distressing symptom of pulmonary disease that can make performing physical activities challenging. However, little is known regarding the strongest predictors of exercise-related dyspnea in adult cystic fibrosis (CF). Therefore, the purpose of the present study was to determine the best clinical model of exercise-related dyspnea in this patient group. A retrospective analysis of pulmonary function and cardiopulmonary exercise testing data from patients with CF being followed up at the Adult CF Program at St Michael's Hospital, Toronto, Canada, from 2002 to 2008 were used for the analysis. Patients (n = 88) were male 66%; aged 30.4 ± 9.4 years; body mass index (BMI) 23.1 ± 3.3 kg/m; forced expiratory volume in 1 second (FEV1) 70% ± 19% predicted; and peak oxygen uptake 74% ± 20% predicted. A multivariate linear regression model assessing the effects of age, sex, BMI, airway obstruction (FEV1), perceived muscular leg fatigue, and dynamic hyperinflation explained 54% of the variance in dyspnea severity at peak exercise (P < .01). Relative importance analysis showed that the presence of dynamic hyperinflation and perceived muscular leg fatigue were the largest contributors. Pulmonary rehabilitation programs may consider strategies to reduce dynamic hyperinflation and promote muscular function to best improve exercise-related dyspnea in this patient group.

감정예측을 위한 심박변이도 변수의 상대적 중요도 분석: Valence-Arousal 기반의 인공신경망 관점으로

범주화된 감정예측을 이용한 기존연구는 각 입력 변수가 예측에 기여하는 상대적 중요도를 정확히 파악하기 어렵다. 본 연구는 연속형인 Valence-Arousal 기반의 예측모형을 생성하고, Garson의 알고리즘을 적용하여 감정예측 입력변수에 대한 상대적 중요도를 제시한다. 이를 위해 피험자 50명으로부터 수집한 심박변이도(HRV, Heart Rate Variability) 변수와 인공신경망을 사용하여 감정예측 모형을 생성하였다. 실험결과 다양한 심박변이도 중 Mean RR의 상대 중요도가 35.6%으로서 감정예측에 가장 높은 기여를 하는 것으로 확인되었다. 한편, 주파수 영역 심박변이도 지표인 VLF, LF, HF의 감정예측시 상대적 중요도는 각각 3.2%, 3.6%, 3.0%로 낮은 것으로 확인되었다.

Effects of light on branch growth and death vary at different organization levels of branching units in Sakhalin spruce

This study proves the existence of correlative inhibition, and demonstrates that role of light intensity in the growth and death varies among different levels of branching units. Within a tree crown, local light conditions vary within a branch and among different branches. Although the role of light intensity in the growth and survival of branches has been studied extensively, the effects of the spatial heterogeneity of light intensity on different levels of branching units are poorly understood. We investigated the effects of light intensity on the growth and death of primary branches (those branching off from the main stem) and secondary branches (those branching off from the primary branches) in the whole crown of Sakhalin spruce (Picea glehnii). The growth of shoot extension on a primary branch or secondary branch may be inhibited on sunlit trees compared to shaded trees when branches under relatively low local light intensity (rPPFD) levels, but it was increased with increasing rPPFD more rapidly on sunlit trees than on shaded trees. A relative importance analysis showed that, in the primary branches, branch growth was mainly influenced by rPPFD, and less influenced by its vertical position within the crown. However, the probability of death of a primary branch was equally influenced by its position within the crown and rPPFD. In contrast, rPPFD played a dominant role in both the growth and death of secondary branches. The results of our study suggest that local light intensity alone cannot fully explain the growth and survival of primary branches simultaneously, and the effects of light intensity vary among different levels of branching units.

Commercial truck crash injury severity analysis using gradient boosting data mining model

IntroductionTruck crashes contribute to a large number of injuries and fatalities. This study seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 North Dakota and Colorado crash data provided by the Federal Motor Carrier Safety Administration. MethodTo fulfill a gap of previous studies, broad considerations of company and driver characteristics, such as company size and driver’s license class, along with vehicle types and crash characteristics are researched. Gradient boosting, a data mining technique, is applied to comprehensively analyze the relationship between crash severities and a set of heterogeneous risk factors. ResultsTwenty five variables were tested and 22 of them are identified as significant variables contributing to injury severities, however, top 11 variables account for more than 80% of injury forecasting. The relative variable importance analysis is conducted and furthermore marginal effects of all contributing factors are also illustrated in this research. Several factors such as trucking company attributes (e.g., company size), safety inspection values, trucking company commerce status (e.g., interstate or intrastate), time of day, driver’s age, first harmful events, and registration condition are found to be significantly associated with crash injury severity. Even though most of the identified contributing factors are significant for all four levels of crash severity, their relative importance and marginal effect are all different. ConclusionsFor the first time, trucking company and driver characteristics are proved to have significant impact on truck crash injury severity. Some of the results in this study reinforce previous studies’ conclusions. Practical applicationsFindings in this study can be helpful for transportation agencies to reduce injury severity, and develop efficient strategies to improve safety.