253 resultados para Safety Indicators


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I-CASH is to enhance the health and safety of Iowa's agricultural community by establishing and coordinating prevention and education programs. This annual report gives information about a variety of areas that participate in I-CASH

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I-CASH is to enhance the health and safety of Iowa's agricultural community by establishing and coordinating prevention and education programs. This annual report gives information about a variety of areas that participate in I-CASH

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I-CASH is to enhance the health and safety of Iowa's agricultural community by establishing and coordinating prevention and education programs. This annual report gives information about a variety of areas that participate in I-CASH

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I-CASH is to enhance the health and safety of Iowa's agricultural community by establishing and coordinating prevention and education programs. This annual report gives information about a variety of areas that participate in I-CASH

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I-CASH is to enhance the health and safety of Iowa's agricultural community by establishing and coordinating prevention and education programs. This annual report gives information about a variety of areas that participate in I-CASH

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I-CASH is to enhance the health and safety of Iowa's agricultural community by establishing and coordinating prevention and education programs. This annual report gives information about a variety of areas that participate in I-CASH

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I-CASH is to enhance the health and safety of Iowa's agricultural community by establishing and coordinating prevention and education programs. This annual report gives information about a variety of areas that participate in I-CASH

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Iowa State University Police Department annually prepares and distributes “Safety & You” to all students, faculty, staff, as well as potential students and employees. Campus crime, arrest and referral statistics include those reported to the ISU Police, designated campus officials (including, but not limited to, Department of Residence, Dean of Students Office, athletic coaches, and advisors to student organizations), Ames Police and the Story County Sheriff’s Office. The ISU Counseling and Thielen Student Health Centers are exempted by patient confidentiality laws from disclosing reported information. Iowa State University does not have a voluntary confidential procedure for reporting crimes to law enforcement

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Iowa State University Police Department annually prepares and distributes “Safety & You” to all students, faculty, staff, as well as potential students and employees. Campus crime, arrest and referral statistics include those reported to the ISU Police, designated campus officials (including, but not limited to, Department of Residence, Dean of Students Office, athletic coaches, and advisors to student organizations), Ames Police and the Story County Sheriff’s Office. The ISU Counseling and Thielen Student Health Centers are exempted by patient confidentiality laws from disclosing reported information. Iowa State University does not have a voluntary confidential procedure for reporting crimes to law enforcement

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Iowa State University Police Department annually prepares and distributes “Safety & You” to all students, faculty, staff, as well as potential students and employees. Campus crime, arrest and referral statistics include those reported to the ISU Police, designated campus officials (including, but not limited to, Department of Residence, Dean of Students Office, athletic coaches, and advisors to student organizations), Ames Police and the Story County Sheriff’s Office. The ISU Counseling and Thielen Student Health Centers are exempted by patient confidentiality laws from disclosing reported information. Iowa State University does not have a voluntary confidential procedure for reporting crimes to law enforcement

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Iowa State University Police Department annually prepares and distributes “Safety & You” to all students, faculty, staff, as well as potential students and employees. Campus crime, arrest and referral statistics include those reported to the ISU Police, designated campus officials (including, but not limited to, Department of Residence, Dean of Students Office, athletic coaches, and advisors to student organizations), Ames Police and the Story County Sheriff’s Office. The ISU Counseling and Thielen Student Health Centers are exempted by patient confidentiality laws from disclosing reported information. Iowa State University does not have a voluntary confidential procedure for reporting crimes to law enforcement

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This project included a literature review and summary that focused on subjects related to team building, team/committee member motivational strategies, and tools for effective and efficient committee meetings. It also completed an online survey of multidisciplinary safety team (MDST) members that focused on methods to increase meeting attendance and the identification of factors that make MDSTs successful. The survey had a response rate of about 15 percent. Finally, three small MDST focus groups were held and the participants discussed information similar to that investigated by the online survey. The results of these three activities were similar and complementary. In general, the outcomes of all three tasks show that a well-designed agenda that has items relevant to the meeting attendees is very important. In addition, the literature, online survey, and focus group results identified other characteristics that define a good team or MDST. Some of these characteristics included effective and consistent leadership, members that are allowed to provide input and have an impact, members that are vested in the activities of the group, and a match between the interests of the members and the focus/mission/purpose of the meetings/group. Meetings that are scheduled well in advance of the meeting date, include time for networking, local safety activity discussions, hands-on activities/tasks, and/or some type of educational or informational presentation or activity also appeared to be the most desirable. Lastly, it was shown that MDSTs can thrive and be successful through various means, but the ability to focus on a specific safety issue when the group is first organized was suggested as a benefit that could be of assistance for long-term sustainability.

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Highway agencies spend millions of dollars to ensure safe and efficient winter travel. However, the effectiveness of winter-weather maintenance practices on safety and mobility are somewhat difficult to quantify. Safety and Mobility Impacts of Winter Weather - Phase 1 investigated opportunities for improving traffic safety on state-maintained roads in Iowa during winter-weather conditions. In Phase 2, three Iowa Department of Transportation (DOT) high-priority sites were evaluated and realistic maintenance and operations mitigation strategies were also identified. In this project, site prioritization techniques for identifying roadway segments with the potential for safety improvements related to winter-weather crashes, were developed through traditional naïve statistical methods by using raw crash data for seven winter seasons and previously developed metrics. Additionally, crash frequency models were developed using integrated crash data for four winter seasons, with the objective of identifying factors that affect crash frequency during winter seasons and screening roadway segments using the empirical Bayes technique. Based on these prioritization techniques, 11 sites were identified and analyzed in conjunction with input from Iowa DOT district maintenance managers and snowplow operators and the Iowa DOT Road Weather Information System (RWIS) coordinator.

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The Highway Safety Manual is the national safety manual that provides quantitative methods for analyzing highway safety. The HSM presents crash modification factors related to work zone characteristics such as work zone duration and length. These crash modification factors were based on high-impact work zones in California. Therefore there was a need to use work zone and safety data from the Midwest to calibrate these crash modification factors for use in the Midwest. Almost 11,000 Missouri freeway work zones were analyzed to derive a representative and stratified sample of 162 work zones. The 162 work zones was more than four times the number of work zones used in the HSM. This dataset was used for modeling and testing crash modification factors applicable to the Midwest. The dataset contained work zones ranging from 0.76 mile to 9.24 miles and with durations from 16 days to 590 days. A combined fatal/injury/non-injury model produced a R2 fit of 0.9079 and a prediction slope of 0.963. The resulting crash modification factors of 1.01 for duration and 0.58 for length were smaller than the values in the HSM. Two practical application examples illustrate the use of the crash modification factors for comparing alternate work zone setups.

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Many states are striving to keep their deer population to a sustainable and controllable level while maximizing public safety. In Iowa, measures to control the deer population include annual deer hunts and special deer herd management plans in urban areas. While these plans may reduce the deer population, traffic safety in these areas has not been fully assessed. Using deer population data from the Iowa Department of Natural Resources and data on deer-vehicle crashes and deer carcass removals from the Iowa Department of Transportation, the authors examined the relationship between deer-vehicle collisions, deer density, and land use in three urban areas in Iowa that have deer management plans in place (Cedar Rapids, Dubuque, and Iowa City) over the period 2002 to 2007. First, a comparison of deer-vehicle crash counts and deer carcass removal counts was conducted at the county level. Further, the authors estimated econometric models to investigate the factors that influence the frequency and severity of deer-vehicle crashes in these zones. Overall, the number of deer carcasses removed on the primary roads in these counties was greater than the number of reported deervehicle crashes on those roads. These differences can be attributed to a number of reasons, including variability in data reporting and data collection practices. In addition, high rates of underreporting of crashes were found on major routes that carry high volumes of traffic. This study also showed that multiple factors affect deer-vehicle crashes and corresponding injury outcomes in urban management zones. The identified roadway and non-roadway factors could be useful for identifying locations on the transportation system that significantly impact deer species and safety and for determining appropriate countermeasures for mitigation. Efforts to reduce deer density adjacent to roads and developed land and to provide wider shoulders on undivided roads are recommended. Improving the consistency and accuracy of deer carcass and deer-vehicle collision data collection methods and practices is also desirable.