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  Subjects -> HEALTH AND SAFETY (Total: 1342 journals)
    - CIVIL DEFENSE (23 journals)
    - DRUG ABUSE AND ALCOHOLISM (89 journals)
    - HEALTH AND SAFETY (555 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (382 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (107 journals)
    - PHYSICAL FITNESS AND HYGIENE (105 journals)
    - WOMEN'S HEALTH (81 journals)

HEALTH AND SAFETY (555 journals)                  1 2 3 | Last

Showing 1 - 200 of 203 Journals sorted alphabetically
16 de Abril     Open Access  
A Life in the Day     Hybrid Journal   (Followers: 12)
Acta Informatica Medica     Open Access   (Followers: 1)
Acta Scientiarum. Health Sciences     Open Access   (Followers: 1)
Adultspan Journal     Hybrid Journal   (Followers: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 10)
Advances in Public Health     Open Access   (Followers: 23)
African Health Sciences     Open Access   (Followers: 2)
African Journal for Physical, Health Education, Recreation and Dance     Full-text available via subscription   (Followers: 7)
African Journal of Health Professions Education     Open Access   (Followers: 6)
Afrimedic Journal     Open Access   (Followers: 2)
Ageing & Society     Hybrid Journal   (Followers: 38)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4)
AJOB Primary Research     Partially Free   (Followers: 3)
American Journal of Family Therapy     Hybrid Journal   (Followers: 11)
American Journal of Health Economics     Full-text available via subscription   (Followers: 13)
American Journal of Health Education     Hybrid Journal   (Followers: 30)
American Journal of Health Promotion     Hybrid Journal   (Followers: 26)
American Journal of Health Sciences     Open Access   (Followers: 7)
American Journal of Health Studies     Full-text available via subscription   (Followers: 11)
American Journal of Preventive Medicine     Hybrid Journal   (Followers: 27)
American Journal of Public Health     Full-text available via subscription   (Followers: 201)
American Journal of Public Health Research     Open Access   (Followers: 27)
American Medical Writers Association Journal     Full-text available via subscription   (Followers: 5)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 5)
Annals of Health Law     Open Access   (Followers: 3)
Annals of Tropical Medicine and Public Health     Open Access   (Followers: 12)
Applied Biosafety     Hybrid Journal  
Applied Research In Health And Social Sciences : Interface And Interaction     Open Access   (Followers: 3)
Archive of Community Health     Open Access   (Followers: 1)
Archives of Medicine and Health Sciences     Open Access   (Followers: 3)
Arquivos de Ciências da Saúde     Open Access  
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 9)
Asia Pacific Journal of Health Management     Full-text available via subscription   (Followers: 3)
Asia-Pacific Journal of Public Health     Hybrid Journal   (Followers: 8)
Asian Journal of Gambling Issues and Public Health     Open Access   (Followers: 3)
Atención Primaria     Open Access   (Followers: 1)
Australasian Journal of Paramedicine     Open Access   (Followers: 3)
Australian Advanced Aesthetics     Full-text available via subscription   (Followers: 4)
Australian Family Physician     Full-text available via subscription   (Followers: 3)
Australian Indigenous HealthBulletin     Free   (Followers: 6)
Autism & Developmental Language Impairments     Open Access   (Followers: 8)
Behavioral Healthcare     Full-text available via subscription   (Followers: 6)
Bijzijn     Hybrid Journal   (Followers: 2)
Bijzijn XL     Hybrid Journal   (Followers: 1)
Biomedical Safety & Standards     Full-text available via subscription   (Followers: 8)
BLDE University Journal of Health Sciences     Open Access  
BMC Oral Health     Open Access   (Followers: 6)
BMC Pregnancy and Childbirth     Open Access   (Followers: 21)
BMJ Simulation & Technology Enhanced Learning     Full-text available via subscription   (Followers: 10)
Brazilian Journal of Medicine and Human Health     Open Access  
Buletin Penelitian Kesehatan     Open Access   (Followers: 2)
Buletin Penelitian Sistem Kesehatan     Open Access  
Cadernos de Educação, Saúde e Fisioterapia     Open Access   (Followers: 1)
Cadernos Saúde Coletiva     Open Access   (Followers: 1)
Cambridge Quarterly of Healthcare Ethics     Hybrid Journal   (Followers: 11)
Canadian Family Physician     Partially Free   (Followers: 11)
Canadian Journal of Community Mental Health     Full-text available via subscription   (Followers: 9)
Canadian Journal of Human Sexuality     Hybrid Journal   (Followers: 2)
Canadian Journal of Public Health     Full-text available via subscription   (Followers: 19)
Case Reports in Women's Health     Open Access   (Followers: 3)
Case Studies in Fire Safety     Open Access   (Followers: 15)
Central Asian Journal of Global Health     Open Access   (Followers: 2)
CES Medicina     Open Access  
Child Abuse Research in South Africa     Full-text available via subscription   (Followers: 1)
Child's Nervous System     Hybrid Journal  
Childhood Obesity and Nutrition     Open Access   (Followers: 10)
Children     Open Access   (Followers: 2)
CHRISMED Journal of Health and Research     Open Access  
Christian Journal for Global Health     Open Access  
Ciência & Saúde Coletiva     Open Access   (Followers: 2)
Ciencia e Innovación en Salud     Open Access  
Ciencia y Cuidado     Open Access   (Followers: 1)
Ciencia, Tecnología y Salud     Open Access  
ClinicoEconomics and Outcomes Research     Open Access   (Followers: 2)
CME     Hybrid Journal   (Followers: 1)
CoDAS     Open Access  
Community Health     Open Access   (Followers: 3)
Conflict and Health     Open Access   (Followers: 7)
Contraception and Reproductive Medicine     Open Access  
Curare     Open Access  
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 4)
Day Surgery Australia     Full-text available via subscription   (Followers: 2)
Digital Health     Open Access   (Followers: 3)
Disaster Medicine and Public Health Preparedness     Hybrid Journal   (Followers: 11)
Dramatherapy     Hybrid Journal   (Followers: 2)
Drogues, santé et société     Full-text available via subscription  
Duazary     Open Access   (Followers: 1)
Düzce Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi / Journal of Duzce University Health Sciences Institute     Open Access  
Early Childhood Research Quarterly     Hybrid Journal   (Followers: 17)
East African Journal of Public Health     Full-text available via subscription   (Followers: 3)
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity     Hybrid Journal   (Followers: 19)
EcoHealth     Hybrid Journal   (Followers: 4)
Education for Health     Open Access   (Followers: 6)
electronic Journal of Health Informatics     Open Access   (Followers: 6)
ElectronicHealthcare     Full-text available via subscription   (Followers: 3)
Elsevier Ergonomics Book Series     Full-text available via subscription   (Followers: 4)
Emergency Services SA     Full-text available via subscription   (Followers: 2)
Ensaios e Ciência: Ciências Biológicas, Agrárias e da Saúde     Open Access  
Environmental Disease     Open Access   (Followers: 2)
Environmental Sciences Europe     Open Access   (Followers: 1)
Epidemics     Open Access   (Followers: 4)
Epidemiologic Perspectives & Innovations     Open Access   (Followers: 5)
Epidemiology, Biostatistics and Public Health     Open Access   (Followers: 18)
Ethics, Medicine and Public Health     Full-text available via subscription   (Followers: 4)
Ethiopian Journal of Health Development     Open Access   (Followers: 8)
Ethiopian Journal of Health Sciences     Open Access   (Followers: 7)
Ethnicity & Health     Hybrid Journal   (Followers: 13)
Eurasian Journal of Health Technology Assessment     Open Access  
European Journal of Investigation in Health, Psychology and Education     Open Access   (Followers: 2)
European Medical, Health and Pharmaceutical Journal     Open Access   (Followers: 1)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 10)
Evidence-based Medicine & Public Health     Open Access   (Followers: 6)
Evidência - Ciência e Biotecnologia - Interdisciplinar     Open Access  
Expressa Extensão     Open Access  
Face à face     Open Access   (Followers: 1)
Families, Systems, & Health     Full-text available via subscription   (Followers: 8)
Family & Community Health     Partially Free   (Followers: 12)
Family Medicine and Community Health     Open Access   (Followers: 7)
Family Relations     Partially Free   (Followers: 11)
Fatigue : Biomedicine, Health & Behavior     Hybrid Journal   (Followers: 2)
Food and Public Health     Open Access   (Followers: 12)
Food Quality and Safety     Open Access  
Frontiers in Public Health     Open Access   (Followers: 6)
Gaceta Sanitaria     Open Access   (Followers: 3)
Galen Medical Journal     Open Access  
Gazi Sağlık Bilimleri Dergisi     Open Access  
Geospatial Health     Open Access  
Gesundheitsökonomie & Qualitätsmanagement     Hybrid Journal   (Followers: 9)
Giornale Italiano di Health Technology Assessment     Full-text available via subscription  
Global Health : Science and Practice     Open Access   (Followers: 6)
Global Health Promotion     Hybrid Journal   (Followers: 15)
Global Journal of Health Science     Open Access   (Followers: 10)
Global Journal of Public Health     Open Access   (Followers: 13)
Global Medical & Health Communication     Open Access   (Followers: 2)
Global Mental Health     Open Access   (Followers: 7)
Global Security : Health, Science and Policy     Open Access   (Followers: 1)
Globalization and Health     Open Access   (Followers: 5)
Hacia la Promoción de la Salud     Open Access  
Hastane Öncesi Dergisi     Open Access  
Hastings Center Report     Hybrid Journal   (Followers: 3)
HEADline     Hybrid Journal  
Health & Place     Hybrid Journal   (Followers: 15)
Health & Justice     Open Access   (Followers: 5)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 7)
Health and Human Rights     Free   (Followers: 9)
Health and Social Care Chaplaincy     Hybrid Journal   (Followers: 7)
Health and Social Work     Hybrid Journal   (Followers: 55)
Health Behavior and Policy Review     Full-text available via subscription   (Followers: 3)
Health Care Analysis     Hybrid Journal   (Followers: 15)
Health Inform     Full-text available via subscription  
Health Information Management Journal     Hybrid Journal   (Followers: 17)
Health Issues     Full-text available via subscription   (Followers: 2)
Health Notions     Open Access  
Health Policy     Hybrid Journal   (Followers: 42)
Health Policy and Technology     Hybrid Journal   (Followers: 4)
Health Professional Student Journal     Open Access   (Followers: 2)
Health Promotion International     Hybrid Journal   (Followers: 21)
Health Promotion Journal of Australia : Official Journal of Australian Association of Health Promotion Professionals     Full-text available via subscription   (Followers: 8)
Health Promotion Practice     Hybrid Journal   (Followers: 16)
Health Prospect     Open Access   (Followers: 1)
Health Psychology     Full-text available via subscription   (Followers: 50)
Health Psychology Research     Open Access   (Followers: 19)
Health Psychology Review     Hybrid Journal   (Followers: 40)
Health Renaissance     Open Access  
Health Research Policy and Systems     Open Access   (Followers: 13)
Health SA Gesondheid     Open Access   (Followers: 2)
Health Science Reports     Open Access  
Health Sciences and Disease     Open Access   (Followers: 2)
Health Services Insights     Open Access   (Followers: 1)
Health Systems     Hybrid Journal   (Followers: 4)
Health Voices     Full-text available via subscription  
Health, Culture and Society     Open Access   (Followers: 12)
Health, Risk & Society     Hybrid Journal   (Followers: 13)
Health, Safety and Environment     Open Access   (Followers: 21)
Healthcare     Open Access   (Followers: 3)
Healthcare in Low-resource Settings     Open Access   (Followers: 1)
Healthcare Quarterly     Full-text available via subscription   (Followers: 8)
Healthcare Technology Letters     Open Access  
HERD : Health Environments Research & Design Journal     Full-text available via subscription  
Highland Medical Research Journal     Full-text available via subscription  
Hispanic Health Care International     Full-text available via subscription  
HIV & AIDS Review     Full-text available via subscription   (Followers: 12)
Home Health Care Services Quarterly     Hybrid Journal   (Followers: 6)
Hong Kong Journal of Social Work, The     Hybrid Journal   (Followers: 2)
Hospitals & Health Networks     Free   (Followers: 4)
IEEE Journal of Translational Engineering in Health and Medicine     Open Access   (Followers: 3)
IMTU Medical Journal     Full-text available via subscription  
Indian Journal of Health Sciences     Open Access   (Followers: 3)
Indonesian Journal for Health Sciences     Open Access   (Followers: 1)
Indonesian Journal of Public Health     Open Access  
Infodir : Revista de Información científica para la Dirección en Salud     Open Access  
Inmanencia. Revista del Hospital Interzonal General de Agudos (HIGA) Eva Perón     Open Access  
Innovative Journal of Medical and Health Sciences     Open Access  
Institute for Security Studies Papers     Full-text available via subscription   (Followers: 2)
interactive Journal of Medical Research     Open Access  
International Archives of Health Sciences     Open Access  
International Health     Hybrid Journal   (Followers: 5)
International Journal for Equity in Health     Open Access   (Followers: 6)
International Journal for Quality in Health Care     Hybrid Journal   (Followers: 34)

        1 2 3 | Last

Journal Cover
Analytic Methods in Accident Research
Journal Prestige (SJR): 4.849
Citation Impact (citeScore): 10
Number of Followers: 5  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2213-6657
Published by Elsevier Homepage  [3163 journals]
  • A comprehensive joint econometric model of motor vehicle crashes arising
           from multiple sources of risk
    • Authors: Amir Pooyan Afghari; Simon Washington; Md. Mazharul Haque; Zili Li
      Pages: 1 - 14
      Abstract: Publication date: June 2018
      Source:Analytic Methods in Accident Research, Volume 18
      Author(s): Amir Pooyan Afghari, Simon Washington, Md. Mazharul Haque, Zili Li
      In the safety literature, motor vehicle crashes are modelled predominately using single equation regression models, albeit with a variety of distributional assumptions and econometric enhancements. These models rely on a single linear additive predictive equation—which becomes multiplicative with a log transform—to specify the expected mean crash count conditioned on predictors. The models also specify the distribution of observations around the conditional mean, with common examples including the Poisson, Negative Binomial, and Conway-Maxwell distribution among others. This mainstream probabilistic conceptualization (i.e. model) of motor vehicle crash causation assumes that crashes are well-approximated by a single source of risk, wherein several contributing factors exert their collective, non-independent influences on the occurrence of crashes via a linear predictor. This study first postulates, and then demonstrates empirically, that crash occurrence may be more complex than can be adequately captured by a single equation regression model. The total crash count recorded at a transport network location (e.g. road segment) may arise from multiple simultaneous and inter-dependent sources of risk, rather than one. Each of these sources may uniquely contribute to the total observed crash count. For instance, a site’s crash occurrence may be dominated by contributions from driver behaviour issues (e.g. speeding, impaired driving), while another site’s crashes might arise predominately from design and operational deficiencies such as deteriorating pavements and worn lane markings. Stated succinctly, this research hypothesises that the unobserved heterogeneity in the accumulation of motor vehicle crashes at transport network locations arises because multiple sources of risk, not one, better captures complexity in the crash occurrence process. A stochastic multiple risk source methodological approach is developed to correspond with and empirically test this hypothesis. A joint econometric model with random parameters and instrumental variables demonstrates the applicability of the proposed theory and the corresponding methodological approach. The proposed model assumes that complexity of crash occurrence is well approximated using three sources of risk comprised of engineering, unobserved spatial, and driver behavioural factors. It is empirically tested using crash data from state controlled roads in Queensland, Australia. Finally, the multiple risk source model is compared to the traditional single risk source model to assess the viability of the proposed approach based on the sample data. The multiple risk source model significantly outperformed the single risk source model in terms of prediction ability and goodness of fit measures. In addition, while the single risk source model predicts total crash counts for individual sites, the multiple risk source model predicts crash count proportions contributed by each source of risk, and predicts crashes by risk source. The improvement in fit combined with the theoretical appeal of a multiple risk source model to explain unobserved heterogeneity in crashes suggests—at least for the sample used in the study—that the complexity in crash occurrence is better explained using multiple equation linear predictors. Further research should examine other datasets for repeatability and should further explore and test risk sources.

      PubDate: 2018-04-25T06:21:11Z
      DOI: 10.1016/j.amar.2018.03.002
      Issue No: Vol. 18 (2018)
       
  • Analysis of vehicle accident-injury severities: A comparison of segment-
           versus accident-based latent class ordered probit models with
           class-probability functions
    • Authors: Grigorios Fountas; Panagiotis Ch. Anastasopoulos; Fred L. Mannering
      Pages: 15 - 32
      Abstract: Publication date: June 2018
      Source:Analytic Methods in Accident Research, Volume 18
      Author(s): Grigorios Fountas, Panagiotis Ch. Anastasopoulos, Fred L. Mannering
      Using information from 1990 single-vehicle accidents that occurred between 2011 and 2013 in the state of Washington, the injury severity level of the most severely injured vehicle occupant is studied using two latent class modeling approaches: segment-based and accident-based latent class ordered probit model with class-probability functions. The segment-based latent class ordered probit framework allows explanatory parameters to vary across unobserved groups (classes) of the highway segment population, while the modeling structure treats all segment-specific injury observations homogeneously (grouped). The accident-based latent class ordered probit framework allows for the explanatory parameters to vary across unobserved groups of the accident population, and the modeling structure treats all accident injury-severity observations individually (ungrouped). To further address heterogeneity arising from the probabilistic assignment of the highway segments or accident observations in the latent classes, the class probabilities are allowed to vary as a function of explanatory parameters, respectively. For both modeling approaches, the proposed latent class approach with class-probability functions is compared to its latent class counterpart with fixed class probabilities, and the results support the statistical superiority of the former, in terms of statistical fit and explanatory power. The empirical findings show the potential of both modeling approaches to unmask driver-, vehicle-, collision- and weather-specific sources of heterogeneity and, specifically, the capability of the segment-based approach to account for segment-specific heterogeneity. The comparative evaluation between the two modeling approaches shows that the segment-based approach provides better overall statistical fit. Furthermore, the forecasting accuracy of both approaches is explored through probability- and error-based measures demonstrating the forecasting accuracy benefits of the segment-based approach.

      PubDate: 2018-05-31T21:18:25Z
      DOI: 10.1016/j.amar.2018.03.003
      Issue No: Vol. 18 (2018)
       
  • Developing a Random Parameters Negative Binomial-Lindley Model to analyze
           highly over-dispersed crash count data
    • Authors: Mohammad Razaur Rahman Shaon; Xiao Qin; Mohammadali Shirazi; Dominique Lord; Srinivas Reddy Geedipally
      Pages: 33 - 44
      Abstract: Publication date: June 2018
      Source:Analytic Methods in Accident Research, Volume 18
      Author(s): Mohammad Razaur Rahman Shaon, Xiao Qin, Mohammadali Shirazi, Dominique Lord, Srinivas Reddy Geedipally
      The existence of preponderant zero crash sites and/or sites with large crash counts can present challenges during the statistical analysis of crash count data. Additionally, unobserved heterogeneity in crash data due to the absence of important variables could negatively impact the estimated model parameters. The traditional negative binomial (NB) model with fixed parameters might not adequately handle highly over-dispersed data or unobserved heterogeneity. Many research efforts that have involved the negative binomial–Lindley (NB-L) model or the random parameters negative binomial (RPNB) model, for example, have attempted to improve the inference of estimated coefficients by explicitly accounting for extra variation in crash data. The NB-L is a mixed modeling approach which provides flexibility to account for additional dispersion in data. The RP modeling approach accommodates the effect of unobserved variables by allowing the model parameters to vary from one observation to another. The following study proposes a combination of these models – the random parameters NB-L (RPNB-L) generalized linear model (GLM) – to account for underlying heterogeneity and address excess over-dispersion. The results show that the RPNB-L model not only provides a superior goodness-of-fit (GOF) with the sample data, but also offers a better understanding about the effects of potential contributing factors. The paper uses the Bayesian framework to provide a strategy for eliminating the potential for poor mixing in the Markov Chain Monte Carlo (MCMC) chains during the estimation of the RPNB-L model.

      PubDate: 2018-04-25T06:21:11Z
      DOI: 10.1016/j.amar.2018.04.002
      Issue No: Vol. 18 (2018)
       
  • A joint framework for static and real-time crash risk analysis
    • Authors: Shamsunnahar Yasmin; Naveen Eluru; Ling Wang; Mohamed A. Abdel-Aty
      Pages: 45 - 56
      Abstract: Publication date: June 2018
      Source:Analytic Methods in Accident Research, Volume 18
      Author(s): Shamsunnahar Yasmin, Naveen Eluru, Ling Wang, Mohamed A. Abdel-Aty
      The current research effort bridges the gap between traditional crash risk and real-time crash risk models by developing a joint model that accommodates for both dimensions in developing crash risk analysis models. Specifically, we develop a joint reactive and proactive crash modeling framework by coupling the monthly crash risk and real-time crash risk in a unified econometric framework for a microscopic analysis unit. In the joint modeling approach, we propose and estimate an alternative to the case-control binary logit based real-time crash risk analysis by proposing a multinomial logit based approach where time periods serve as alternatives and the chosen alternative is the time period in which crash occurs. The joint model also allows us to accommodate for the common unobserved factors that increase the likelihood of a crash in microscopic unit to affect the real-time crash risk propensity. We demonstrate the application of the proposed approach by using data on roadway segments from three expressways in Central Florida (State Roads 408, 417, and 528) for 29 months. The monthly crash risk component is examined by using binary logit model employing different static roadway attributes (roadway geometry and operational attributes). The real-time crash risk component is examined by using a multinomial logit model employing different real-time traffic attributes (volume, speed, lane occupancy and environmental conditions). The outcome of the proposed approach allows us to predict both the monthly and real-time crash risk components simultaneously in a single econometric framework.

      PubDate: 2018-05-28T21:06:11Z
      DOI: 10.1016/j.amar.2018.04.001
      Issue No: Vol. 18 (2018)
       
  • Analysis of accident injury-severities using a correlated random
           parameters ordered probit approach with time variant covariates
    • Authors: Grigorios Fountas; Panagiotis Ch. Anastasopoulos; Mohamed Abdel-Aty
      Pages: 57 - 68
      Abstract: Publication date: June 2018
      Source:Analytic Methods in Accident Research, Volume 18
      Author(s): Grigorios Fountas, Panagiotis Ch. Anastasopoulos, Mohamed Abdel-Aty
      This paper employs a correlated random parameters ordered probit modeling framework to explore time-variant and time-invariant factors affecting injury-severity outcomes in single-vehicle accidents. The proposed approach extends traditional random parameters modeling, by accounting for possible correlations among the random parameters. On the basis of an unrestricted covariance matrix for the random parameters, the proposed framework can capture the combined effect of the unobserved factors – which are captured by the random parameters – on the injury-severity mechanism. The empirical analysis is based on traditional roadway-, traffic- and crash-specific information, and detailed weather and pavement surface disaggregate data, collected in the State of Washington, between 2011 and 2013. The results show that accident injury-severity outcomes are affected by a number of time-variant (ice thickness or water depth on pavement surface, sub-surface temperature) and time-invariant (roadway geometrics, and vehicle-, driver-, and collision-specific characteristics) factors, several of which result in statistically significant parameters – thus they have mixed effects on the injury-severity generation mechanism. The findings also present statistically significant correlation effects among the random parameters, which substantiates the appropriateness of the approach. The comparative assessment between the employed approach and its lower-order counterparts (i.e., fixed parameters, and uncorrelated random parameters ordered probit modeling approaches) shows that accounting for the unobserved heterogeneity interactions results not only in superior statistical performance (in terms of model’s fit, and explanatory and prediction performance) but also in less biased and more consistent parameter estimates.

      PubDate: 2018-05-31T21:18:25Z
      DOI: 10.1016/j.amar.2018.04.003
      Issue No: Vol. 18 (2018)
       
  • Multivariate random parameters zero-inflated negative binomial regression
           for analyzing urban midblock crashes
    • Authors: Chenhui Liu; Mo Zhao; Wei Li; Anuj Sharma
      Pages: 32 - 46
      Abstract: Publication date: March 2018
      Source:Analytic Methods in Accident Research, Volume 17
      Author(s): Chenhui Liu, Mo Zhao, Wei Li, Anuj Sharma
      Urban midblock crashes are influenced mainly by traffic operation and roadway geometric features. In this paper, 10-year crash data from 1,506 directional urban midblock segments in Nebraska were analyzed using the multivariate random parameters zero-inflated negative binomial model to account for unobserved heterogeneity produced by correlations across segments, correlations across crash collision types, excessive zero crashes, and over dispersion. The multivariate random parameters zero-inflated negative binomial model was superior to many common crash frequency models in terms of both goodness of fit and prediction accuracy. Compared with the multivariate fixed parameters zero-inflated negative binomial model, the multivariate random parameters zero-inflated negative binomial model identified fewer key influencing factors and revealed segment-specific effects of these factors on different crash types. It showed that the number of lanes, annual average daily traffic per lane, and segment length might have non-positive effects on crash frequencies. Segments with a speed limit of 45 mph had fewer crashes than did those with lower speed limits, and there were fewer crashes on the segments in Omaha than on those in Lincoln. It was also found that neither the presence of a shoulder, on-street parking, or one-way traffic, nor lane width had significant influences on crash frequencies. These findings are informative for transportation agencies to take correct and efficient measures to accommodate diverse transportation demands without reducing traffic safety. By contrast, the fixed parameters model produced results consistent with intuition, but the results were insufficient to provide actionable recommendations.

      PubDate: 2018-04-25T06:21:11Z
      DOI: 10.1016/j.amar.2018.03.001
      Issue No: Vol. 17 (2018)
       
  • Developing a grouped random parameters multivariate spatial model to
           explore zonal effects for segment and intersection crash modeling
    • Authors: Qing Cai; Mohamed Abdel-Aty Jaeyoung Lee Ling Wang Xuesong Wang
      Abstract: Publication date: September 2018
      Source:Analytic Methods in Accident Research, Volume 19
      Author(s): Qing Cai, Mohamed Abdel-Aty, Jaeyoung Lee, Ling Wang, Xuesong Wang
      It is acknowledged that crash occurrence on segments and intersections could be affected by multilevel factors. Omission of important explanatory variables could result in biased and inconsistent parameter estimates. This paper contributes to the literature by examining the zonal effects which are always excluded or ignored in traffic safety research for segments and intersections. A grouped random parameters multivariate spatial model is proposed to identify both observable zonal effects and unobserved heterogeneity at the zonal level by considering the heterogeneous and spatial correlations. The proposed model is evaluated by comparing it with its three counterparts: a fixed parameters univariate spatial model without zonal factors, a random parameters univariate spatial model without zonal factors, and a random parameters univariate spatial model with zonal factors. The results indicate that the three random parameters models could consistently provide better performance than the fixed parameters model and the models including zonal factors outperform the models without zonal factors. Besides, the proposed model has the optimal model performance compared with its counterparts, which validates the concept of adopting the multivariate modeling framework to identify the heterogeneous and spatial correlations of zonal effects. The results confirm the significantly correlated heterogeneous residuals in modeling zonal factors on crash occurrence on segments and intersections. However, the spatial correlations of zonal effects on different types of road entities (segments and intersections) in adjacent zones are not statistically significant. Furthermore, the proposed model provides more valuable insights about the crash occurrence on segments and intersections by revealing segment-/intersection-level factors together with zonal factors.

      PubDate: 2018-05-28T21:06:11Z
       
  • Temporal instability and the analysis of highway accident data
    • Authors: Fred Mannering
      Pages: 1 - 13
      Abstract: Publication date: March 2018
      Source:Analytic Methods in Accident Research, Volume 17
      Author(s): Fred Mannering
      Virtually every statistical analysis of highway safety data is predicated on the assumption that the estimated model parameters are temporally stable. That is, the assumption that the effect of the determinants of accident likelihoods and resulting accident-injury severities do not change over time. This paper draws from research previously conducted in fields such as psychology, neuroscience, economics, and cognitive science to build a case for why we would not necessarily expect the effects of explanatory variables to be stable over time. The review of this literature suggests that temporal instability is likely to exist for a number of fundamental behavioral reasons, and this temporal instability is supported by the findings of several recent accident-data analyses. The paper goes on to discuss the implications of this temporal instability for contemporary accident-data modeling methods (unobserved heterogeneity, data driven, traditional, and causal inference methods) and concludes with a discussion of how temporal instability might be addressed and how its likely presence can be accounted for to better interpret accident data-analysis findings.

      PubDate: 2017-11-03T06:26:31Z
      DOI: 10.1016/j.amar.2017.10.002
      Issue No: Vol. 17 (2017)
       
 
 
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