Advanced Spatial Analysis of Accident Risks in Recreational Boating
•Télécharger en tant que PPT, PDF•
2 j'aime•771 vues
A brief overview of a study by Dr. Ernie Marshburn and underway in Florida and Ohio. This project, Reducing Recreational Boating Accidents through Advanced Risk Analysis, involves just one of many ways in which the accident reporting data your state collects and submits to the Coast Guard can be used to help reduce recreational boating accidents.
![03/01/12 ; Page Intellectual Merit ,[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommandé
Recommandé
Contenu connexe
En vedette
En vedette (20)
Similaire à Advanced Spatial Analysis of Accident Risks in Recreational Boating
Similaire à Advanced Spatial Analysis of Accident Risks in Recreational Boating (20)
Plus de NASBLA
Plus de NASBLA (20)
Dernier
Dernier (20)
Advanced Spatial Analysis of Accident Risks in Recreational Boating
- 1. Advanced Spatial Analysis of Accident Risks in Recreational Boating 03/01/12 ; Page Funded by a 2011 Boating Safety Grant from the USCG, Boating Safety Division Collaborating Partners National Association of State Boating Law Administrators, United States Power Squadrons , Florida Fish and Wildlife Conservation Commission, the Ohio Department of Natural Resources, East Carolina University, Trimble, and GeoEye. Principal Investigators Ernest Marshburn, USPS and East Carolina University Richard Moore, Florida Fish and Wildlife Conservation Commission Rodger Norcross, Ohio Department of Natural Resources Tammy Terry, Ohio Department of Natural Resources
- 5. 03/01/12 ; Page Recreational Boating Accident Research Framework
- 7. 03/01/12 ; Page On-Water: Boating Safety Stop Survey Trimble Nomad 800L (printer not shown)
- 8. 03/01/12 ; Page Satellite Imagery Tampa Bay, Florida Research Site Sandusky Bay, Ohio Research Site
- 9. 03/01/12 ; Page Research Site: Tampa Bay, FL 103.3 sq. km. research area
- 10. 03/01/12 ; Page Research Site: Sandusky Bay, OH 138.2 sq. km research area
- 11. 03/01/12 ; Page Satellite Imagery Tampa Bay, Florida Research Site Sandusky Bay, Ohio Research Site
- 12. 03/01/12 ; Page Satellite Imagery Tampa Bay, Florida Research Site
- 13. 03/01/12 ; Page Satellite Imagery Tampa Bay, Florida Research Site
- 14. 03/01/12 ; Page Satellite Imagery Tampa Bay, Florida Research Site
- 15. 03/01/12 ; Page Satellite Imagery Sandusky Bay, Ohio Research Site
- 16. 03/01/12 ; Page Satellite Imagery Sandusky Bay, Ohio Research Site
- 17. 03/01/12 ; Page Analytical Methods
- 18. 03/01/12 ; Page Analytical Methods
- 21. 03/01/12 ; Page Analytical Methods The primary problem is to relate the space-time array ( ijt ) to the factors representing the environmental, human, and technological dimensions. This function is represented as: where A represents the presence or absence of a recreational boating accident in cell (ij) at time (t). Fig. 5: Recreational Boat Accident Research Model
- 22. 03/01/12 ; Page Table 1: Project Timeline Advanced Spatial Analysis of Accident Risks in Recreational Boating Presented @ Spring NASBLA Workshop
Notes de l'éditeur
- Spatial dependency is the co-variation of properties within geographic space where characteristics at proximal locations appear to be correlated. Spatial dependency leads to the spatial autocorrelation such as temporal autocorrelation. Autocorrelation violates standard statistical techniques that assume independence among observations. Location effects also manifest as spatial heterogeneity (lack of uniformity), or the apparent variation in a process with respect to location in geographic space. Unless a space is uniform and boundless, every location will have some degree of uniqueness relative to other locations.
- The perspective adopted in this research establishes system attribute space as a synthetic three dimensional domain (Fig. 1). This modified perspective allows recreational boating to be bracketed within a narrow frame of reference characterized as: loosely coupled (relatively independent components), easily managed by one or more operators (simple to control), and most importantly, linear in terms of component complexity. Furthermore, it allows system attribute levels to vary with changing environmental influences as examined in this study. For instance, rapidly changing weather conditions can reduce the effectiveness of boating systems (manageability) and harbor traffic congestion can increase system complexity (interactiveness) as well as system interdependency (coupling). Recognition of these contextual environmental effects provides conceptual as well as empirical focus for this research. The synthetic conceptual framework suggests that system similarity is directly related to the nature of the accident domain that characterizes them. It also suggests that certain factors may be manifested as latent (antecedent) conditions, e.g., operator training, boating regulations, cultural influences, and environmental variables. Latent conditions are important because they combine in unexpected ways with triggering mechanisms to produce multi-level interactive effects that influence the probability that recreational boating accidents will occur.
- Spatial dependency is the co-variation of properties within geographic space where characteristics at proximal locations appear to be correlated. Spatial dependency leads to the spatial autocorrelation such as temporal autocorrelation. Autocorrelation violates standard statistical techniques that assume independence among observations. Location effects also manifest as spatial heterogeneity, or the apparent variation in a process with respect to location in geographic space. Unless a space is uniform and boundless, every location will have some degree of uniqueness relative to other locations.
- Spatial dependency is the co-variation of properties within geographic space where characteristics at proximal locations appear to be correlated. Spatial dependency leads to the spatial autocorrelation such as temporal autocorrelation. Autocorrelation violates standard statistical techniques that assume independence among observations. Location effects also manifest as spatial heterogeneity, or the apparent variation in a process with respect to location in geographic space. Unless a space is uniform and boundless, every location will have some degree of uniqueness relative to other locations.
- Spatial dependency is the co-variation of properties within geographic space where characteristics at proximal locations appear to be correlated. Spatial dependency leads to the spatial autocorrelation such as temporal autocorrelation. Autocorrelation violates standard statistical techniques that assume independence among observations. Location effects also manifest as spatial heterogeneity, or the apparent variation in a process with respect to location in geographic space. Unless a space is uniform and boundless, every location will have some degree of uniqueness relative to other locations.
- Spatial dependency is the co-variation of properties within geographic space where characteristics at proximal locations appear to be correlated. Spatial dependency leads to the spatial autocorrelation such as temporal autocorrelation. Autocorrelation violates standard statistical techniques that assume independence among observations. Location effects also manifest as spatial heterogeneity, or the apparent variation in a process with respect to location in geographic space. Unless a space is uniform and boundless, every location will have some degree of uniqueness relative to other locations.