250 resultados para Economic Crash


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Iowa is a relatively small state and is on the rebound economically. It has an overall population that is stable, but which is shifting within the state from more rural areas to suburban and urban centers. There is a very tight labor market with high levels of employment. Iowa now has a time-sensitive opportunity to exert global leadership in renewable energy, while maintaining its leadership in other key industries like finance and agriculture.

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The Iowa Department of Education and Iowa Workforce Development partnered to combine educational and workforce data. The collaboration led to the establishment of the Training and Employment Outcomes System (TEOS) which combines wage data with education records for community colleges. This report summarizes results on four areas: Descriptive wage summaries; the returns to education; transitions for program majors to the workforce; and the five-years in-state retention rate of community college graduates.

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Photographic documentation of crashed vehicles at the scene can be used to improve triage of crash victims. A U.S. expert panel developed field triage rules to determine the likelihood of occupants sustaining serious injuries based on vehicle damage that would require transport to a trauma center (Sasser et al., 2011). The use of photographs for assessing vehicle damage and occupant compartment intrusion as it correlates to increased injury severity has been validated (Davidson et al., 2014). Providing trauma staff with crash scene photos remotely could assist them in predicting injuries. This would allow trauma care providers to assess the appropriate transport, as well as develop mental models of treatment options prior to patient arrival at the emergency department (ED). Crash-scene medical response has improved tremendously in the past 20-30 years. This is in part due to the increasing number of paramedics who now have advanced life support (ALS) training that allows independence in the field. However, while this advanced training provides a more streamlined field treatment protocol, it also means that paramedics focused on treating crash victims may not have time to communicate with trauma centers regarding crash injury mechanisms. As a result, trauma centers may not learn about severe trauma patients until just a few minutes before they arrive. The information transmitted by the TraumaHawk app allows interpretation of injury mechanisms from crash scene photos at the trauma center, providing clues about the type and severity of injury. With strategic crash scene photo documentation, trained trauma professionals can assess the severity and patterns of injury based on exterior crush and occupant intrusion. Intrusion increases the force experienced by vehicle occupants, which translates into a higher level of injury severity (Tencer et al., 2005; Assal et al., 2002; Mandell et al., 2010). First responders have the unique opportunity to assess the damaged vehicle at the crash scene, but often the mechanism of injury is limited or not even relayed to ED trauma staff. To integrate photographic and scene information, an app called TraumaHawk was created to capture images of crash vehicles and send them electronically to the trauma center. If efficiently implemented, it provides the potential advantage of increasing lead-time for preparation at the trauma center through the crash scene photos. Ideally, the result is better treatment outcomes for crash victims. The objective of this analysis was to examine if the extra lead-time granted by the TraumaHawk app could improve trauma team activation time over the current conventional communication method.

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The Department of Education, Division of Community Colleges, will annually provide the State Board of Education with the Workforce Training and Economic Development Fund Annual Progress Report. Administration and oversight responsibility for the fund was transferred from the Iowa Economic Development Authority to the Iowa Department of Education effective July 1, 2013 (FY 2014). This report is the first annual progress report produced and distributed by the Iowa Department of Education. The full report outlines the programs, projects, and initiatives that the community colleges have implemented during the past fiscal year.

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This report presents a national synthesis of rural expressway, two-way stop -controlled (TWSC) intersection safety strategies and intersection designs and an analysis of Iowa expressway TWSC intersection crash characteristics. A rural expressway is a multi-lane highway with a divided median and with mostly at -grade intersections, although some intersections may be grade separated. The synthesis of intersection strategies is conducted in two parts. The first is a literature review and the second part is a national survey of strategies currently being applied by state transportation agencies. The characterization of crash patterns at TWSC expressway intersections is examined through the analysis of 5 years of crash data at 644 intersections.

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The Federal Highway Administration estimates that red light running causes more than 100,000 crashes and 1,000 fatalities annually and results in an estimated economic loss of over $14 billion per year in the United States. In Iowa alone, a statewide analysis of red light running crashes, using crash data from 2001 to 2006, indicates that an average of 1,682 red light running crashes occur at signalized intersections every year. As a result, red light running poses a significant safety issue for communities. Communities rarely have the resources to place additional law enforcement in the field to combat the problem and they are increasingly using automated red light running camera-enforcement systems at signalized intersections. In Iowa, three communities currently use camera enforcement since 2004. These communities include Davenport, Council Bluffs, and Clive. As communities across the United States attempt to address red light running, a number of communities have implemented red light running camera enforcement programs. This report examines the red light running programs in Iowa and summarizes results of analyses to evaluate the effectiveness of such cameras.

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This project analyzes the characteristics and spatial distributions of motor vehicle crash types in order to evaluate the degree and scale of their spatial clustering. Crashes occur as the result of a variety of vehicle, roadway, and human factors and thus vary in their clustering behavior. Clustering can occur at a variety of scales, from the intersection level, to the corridor level, to the area level. Conversely, other crash types are less linked to geographic factors and are more spatially “random.” The degree and scale of clustering have implications for the use of strategies to promote transportation safety. In this project, Iowa's crash database, geographic information systems, and recent advances in spatial statistics methodologies and software tools were used to analyze the degree and spatial scale of clustering for several crash types within the counties of the Iowa Northland Regional Council of Governments. A statistical measure called the K function was used to analyze the clustering behavior of crashes. Several methodological issues, related to the application of this spatial statistical technique in the context of motor vehicle crashes on a road network, were identified and addressed. These methods facilitated the identification of crash clusters at appropriate scales of analysis for each crash type. This clustering information is useful for improving transportation safety through focused countermeasures directly linked to crash causes and the spatial extent of identified problem locations, as well as through the identification of less location-based crash types better suited to non-spatial countermeasures. The results of the K function analysis point to the usefulness of the procedure in identifying the degree and scale at which crashes cluster, or do not cluster, relative to each other. Moreover, for many individual crash types, different patterns and processes and potentially different countermeasures appeared at different scales of analysis. This finding highlights the importance of scale considerations in problem identification and countermeasure formulation.

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This is a study of how transportation policy can be fashioned to improve Iowa's long-term economic prospects. The research focuses on the state level and covers pricing, resource allocation, investment, and other issues that directly affect the performance of public facilities that support transportation of goods and people to and from points in Iowa. Chapter 1 is an introduction. Chapter 2 begins with an assessment of how Iowa's economy is changing, both functionally and spatially. Commuting patterns and methods of goods movement are then discussed. The purpose of this analysis is to provide a context for the exploration of transportation policy issues in subsequent chapters. In Chapter 3 a framework is established for evaluating changes in transportation policies. A working definition of economic development is given and the role of government policies in making an area more attractive to economic activity is considered. Chapter 4 analyzes public policy options for Iowa's roads and highways. These policy options are intended to help the state compete for economic activity. Chapter 5 assesses alternative investment strategies for major navigational facilities on the upper Mississippi River. Chapter 6 examines major transportation policy issues in Iowa's agricultural sector. The current magnitude of agricultural shipments and the roles of several modes are presented. After focusing on issues related to railroad competitiveness, the analysis turns to how Iowa's rural roads should be financed. The need for joint investment and pricing decisions affecting waterways, railroads, and rural roads is stressed. Chapter 7 examines the current status of freight transportation in Iowa. An assessment is made of issues related to trucking and of intermodal transportation and its potential for cost-effective shipping to and from businesses in Iowa. Chapter 8 summarizes the key findings of this study, offering ten recommendations. These recommendations relate to transportation as a means of facilitating economic development.

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Access management involves balancing the dual roles that roadways must play - through travel and access to property and economic activity. When these roles are not in proper balance, the result is a roadway system that functions sub-optimally. Arterial routes that have a too high driveway density and provide overly extensive access to property have high crash rates and begin to suffer in terms of traffic operations. Such routes become congested, delays increase, and mean travel speeds decline. The Iowa access management research and awareness project has had four distinct phases. Phase I involved a detailed review of the extensive national access management literature so lessons learned elsewhere could be applied in Iowa. In Phase II original case study research was conducted in Iowa. Phase III of the project concentrated on outreach and education about access management. Phase IV of the Iowa access management project extended the work conducted during Phases II and III. The main work products for Phase IV were as follows: 1) three additional before and after case studies, illustrating the impacts of various access management treatments on traffic safety, traffic operations, and business vitality; 2) an access management handbook aimed primarily at local governments in Iowa; 3) a modular access management toolkit with brief descriptions of various access management treatments and considerations; and 4) an extensive outreach plan aimed at getting the results of Phases I through IV of the project out to diverse audiences in Iowa and elsewhere.

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Audit report on the Cedar County Economic Development Commission for the year ended June 30, 2015