Review of current practices in recording road traffic incident data: with specific reference to spatial analysis and road policing policy

Road safety involves three major components: the road system, the human factor and the vehicle element. These three elements are inter-linked through geo-referenced traffic events and provide the basis for road safety analyses and attempts to reduce the number of road traffic incidents and improve road safety. Although numbers of deaths and serious injuries are back to approximately the 1950s levels when there were many fewer vehicles on the road, there are still over 100 fatalities or serious injuries every day, and this is a considerable waste of human capital. It is widely acknowledged that the location perspective is the most suitable methodology by which to analyse different traffic events, where by in this paper, I will concentrating on the relationship between road traffic incidents and traffic policing. Other methods include studying road and vehicle engineering and these will be discussed later. It is worth noting here that there is some division within the literature concerning the definitions of ‘accident’ and ‘incident’. In this paper I will use ‘incident’ because it is important to acknowledge a vast majority of ‘road accidents’ are in fact crimes. However I will use the term ‘accident’ where it is referred to in the literature or relevant reports. It is important to mention here that a road traffic accident can be defined as ‘the product of an unwelcome interaction between two or more moving objects, or a fixed and moving object’ (Whitelegg 1986). Road safety and road incident reduction relates to many other fields of activity including education, driver training, publicity campaigns, police enforcement, road traffic policing, the court system, the National Health Service and Vehicle engineering. Although the subject of using GIS to analyse road traffic incidents has not received much academic attention, it lies in the field of crime mapping which is becoming increasingly important. It is clear that studies have been attempted to analyse road traffic incidents using GIS are increasingly sophisticated in terms of hypotheses and statistical technique (for example see Austin, Tight and Kirby 1997). However it is also clear that there is considerable blurring of boundaries and the analysis of road accidents sits uncomfortably in crime mapping. This is due to four main reasons: - Road traffic incidents are associated with road engineering, which is concerned with generic solutions while road traffic analysis is about sensitivity to particular contexts. - Not all road traffic incidents are crimes - It is not just the police who have an interest in reducing road traffic incidents, other partners include local authorities, hospitals and vehicle manufacturers - The management of road traffic incidents is not just confined to the police GIS has been used for over thirty years however it has only been recently been used in the field of transportation. The field of transportation has come to embrace Geographical Information Systems as a keytechnology to support its research and operational need. The acronym GIS-T is often employed to refer to the application and adaptation of GIS to research, planning and management in transportation. GIS-T covers a broad arena of disciplines of which road traffic incident detection is just one theme. Others include in vehicle navigation systems. Initially it was only used to ask simple accident enquiries such as depicting the relative incidence of accidents in wet weather or when there is no street lighting, or to flag high absolute or relative incidences of accidents (see Anderson 2002). Recently however there has been increased acknowledgement that there is a requirement to go beyond these simple questions and to extend the analyses. It has been widely claimed by academics and the police alike that knowing where road accidents occur must lead to better road policing, in order to ensure that road policing becomes better integrated with other policing activities. This paper will be used to explore issues surrounding the analysis of road traffic accidents and how GIS analysts, police and policy makers can achieve a better understanding of road traffic incidents and how to reduce them. For the purpose of this study I will be trying to achieve a broader overview of the aspects concerning road accident analysis with a strong emphasis on data quality and accuracy with concern to GIS analysis. Data quality and accuracy are seen as playing a pivotal role in the road traffic management agenda because they assist the police and Local Authorities as to the specific location whereby management can be undertaken. Part one will consider the introduction to road incidents and their relationship with geography and spatial analysis and how this were initially applied to locating ‘hotspots’ and the more recent theory of ‘accident migration’. Part two will address current data issues of the UK collection procedure. This section will pay particular reference to geo-referencing and the implication of data quality on the procedure of analysing road incidents using GIS. Part three addresses issues surrounding the spatial analysis of road traffic incidents, including some techniques such as spatial autocorrelation, time-space geography and the modifiable area unit problem. Finally part four looks at the role of effective road traffic policing and how this can be achieved due to better understanding of the theory and issues arising from analysing road traffic incidents. It will also look at the diffusion and use of GIS within the police and local authorities

Quality and representativity of the traffic accident data in urban areas: State of the Art

The reduction of the number of road accident fatalities by 50 %, by the year 2010, suggested by the EU, involves the active contribution of all the agents in charge of the road safety in Europe. Even though the accidents that happened in urban areas have a relative smaller severity, it is the place where, for the moment, in absolute terms, the major number of accidents take place in the EU countries, as well as generating serious consequences on the more vulnerable users (pedestrians, cyclists, children, the elderly…). The current action has as main objective the creation, validation, discussion and spreading, at European level, of the ‘best practices’ for the collection, processing and analysis of traffic accident (TA) data in urban areas. The foreseen final result fundamentally consists in the disposal of a European guide of advices or of “best practices” in order to implement / improve the traffic accident collection, analysis and monitoring systems in urban areas. For that, a compilation of the current “best practices” and on the exchange of experiences between municipalities from several EU countries will be counted on, added to the practical pilot experience that will be carried out as part of this project in several Spanish cities. With the spreading of this guide, the purpose is to contribute to the development of local tools in order to help giving answers and solutions, with more reliable and accurate knowledge, to the problematic of the accident rate in each municipality. The concrete actions that are developed in the project are the following ones: 1) Bibliographical revision and summary of the “state of the art” on the problem of underreporting, the quality, management and analysis / exploitation of TA data in urban area. 2) Development of an in-depth “case study” and application and evaluation of the best practices in some Spanish municipalities from different sizes. D1.1 [8] 3) Execution of a survey study with the objective of getting an approximation to the current situation and practice from a representative sample of European cities from different sizes. 4) Organization of a workshop where the results will be discussed, after the fulfilment of the previously exposed objectives. From all the information obtained from the previous stages, writing and spreading of the Guide of Best Practices throughout the EU. The document that is delivered hereafter is the Deliverable I: Quality and representativity of the traffic accident data in urban area: State of the art. In this stage, as it has been pointed out in the project statement, it is expected, through a bibliographical and documentary revision and summary, to get a general perspective of the state of the accident rate urban records in terms of data collection and information quality, as well as the rules in force in relation to the accident rate collection systems at the European level. The results obtained in this first stage mean a starting point on which the next stages of the SAU study will be developed

Formulating Older Driver Licensing Policy: An Evaluation of Older Driver Crash History and Performance

This research sought to understand the relationship between licensing policy and the opportunity for the development of a scientifically-based approach to identifying high risk older drivers based on prior driving history. This research focused on five tasks: 1) review of the literature, 2) compilation of information on licensing policy for use by decision-makers, 3) assessment of charges and payer source for older driver crashes using linked crash and hospital data , and 4) the development and 5) validation of an older driver crash prediction model. There is relatively little available in the way of information for policymakers regarding licensing, and there is even less information available on evaluation of licensing practice effectiveness. Emergency department charges for older males were lower than females even though males accounted for a larger percentage of the injured population. Older drivers were no more likely to be covered by public insurance than the comparison group. Crash and citation data used to develop a driver history showed no differences between drivers in injury causing crashes and drivers in non-injury crashes. Logistic regression, Poisson regression, and negative binomial regression models were unable to effectively predict crash involvement based on driver history. This is likely due to self-selection bias for older drivers and truncated distribution of count variable (injury causing crashes). Recommendations resulting from this research include Massachusetts and national policy recommendations and additional research. Massachusetts should expand beyond its referral-based system for reviewing older drivers, consider restriction rather than only revocation, review medical advisory board practices, conduct evaluation of any policies it does implement, and conduct a thorough review of alternative transportation options. Nationally, efforts should focus on developing effective cognitive/functional testing by licensing agents, identification of effective second phase of testing, determination of a mechanism for determining when to retest, and assessment of the differences between older males and females for potential use in training, education, and testing. Research recommendations include continued exploration of the potential for systematic identification of high risk drivers using administrative data and in-depth analyses of the differences between males and females in terms of aging and driver safety

Access to care and social/community characteristics and for people diagnosed and living with HIV in California, 2014

Advances in HIV care and treatment continue to prolong the lives of people diagnosed and living with HIV (PDLWH). The National HIV/AIDS Strategy mobilizes national, state, and local efforts toward ensuring equitable access to care, reducing disparities, and improving continuum of HIV care outcomes. A social/community-based factor that contributes to sub-optimal HIV outcomes for PDLWH – all of whom require regular visits to a medical facility – is access to accommodating, affordable, and acceptable HIV care providers. Employing case surveillance data to analyze relationships between social/community-based factors and HIV disease outcomes is an opportunity to identify underserved PDLWH. This analytic approach, linking individual case-level epidemiologic surveillance data with macro-level community measures, provides public health departments a more precise estimate of priority geographic zones and subpopulation clusters whereby limited public health resources can be directed for maximal impact and efficiency. This dissertation analyzed California HIV surveillance system (CHSS) data to characterize PDLWH in terms of residential census tract characteristics related to income, poverty, unemployment, vehicle access, population density, travel duration from residence to care facility, and access to care. The primary study population was 60,979 PDLWH as of 2014 who had recent, geocoded residential addresses collected in CHSS. Access to care was measured using a novel enhanced two-step floating catchment area (E2SFCA) method developed for this dissertation. We also assessed whether community characteristics, trip duration, and access to care were associated with suppressed viral load, an indicator of successful disease management. Several significant relationships were found between suppressed viral load and where people lived, how long they drove for care, and their E2SFCA-measured access to care. This analysis identifies new methods for state and local health jurisdictions to: investigate factors associated with HIV-specific health disparities, improve the capacity to direct resources for improving health outcomes for PDLWH, and enhance transmission prevention efforts

Tennessee Highway Safety Office Highway Safety Plan FFY 2022

https://digitalcommons.memphis.edu/govpubs-tn-safety-homeland-security-highway-safety-office/1001/thumbnail.jp

Tennessee Highway Safety Office Highway Safety Plan FFY 2021

https://digitalcommons.memphis.edu/govpubs-tn-safety-homeland-security-highway-safety-office/1003/thumbnail.jp

LINCS : Linking Information for Nonfatal Crash Surveillance : a guide for integrating motor vehicle crash data to help keep Americans safe on the road

The Linking Information for Nonfatal Crash Surveillance (LINCS) Guide is intended to help states start a data linkage program or expand their current program to help prevent motor vehicle crash-related injuries and deaths. The guide discusses the key components of successful linkage programs and details each step in the data linkage process.Motor vehicle crashes (MVCs) are a leading cause of death for people aged 1-54 years in the United States (U.S.). More than 100 people die in MVCs each day and thousaOne method to better understand MVCs is to effectively use existing data sources, such as police, hospital, and emergency medical services (EMS) records. These data sources contain different information and the data sets are generally collected and stored separately. Therefore, linking the data sets together can create a more comprehensive understanding of MVCs by pulling all of the data together into one linked data set. A linked data set will include information about what happened before (e.g., impaired driving), during (e.g., seat belt was being used), and after a crash (e.g., medical outcomes and costs).nds more are injured. Understanding the risk factors and ways to address them can help prevent MVC-related injuries and deaths and reduce costs.The CDC\u2019s National Center for Injury Prevention and Control (NCIPC) enlisted the Centers for Medicare & Medicaid Services (CMS) Alliance to Modernize Healthcare (CAMH)\u2014a federally funded research and development center operated by The MITRE Corporation\u2014to create a guide to help states start or enhance data linkage programs. Linking MVC data sets creates a more comprehensive set of linked data for each MVC incident and for each individual involved in the MVC. Comprehensive MVC linked data can enable analysis of the relationships among contributing factors, interventions, outcomes, and impacts. For example, one advantage of linking police MVC records to hospital records is to assess the magnitude of nonfatal MVC injuries and associated healthcare costs.CS 302338-APublication date from document properties.CDC_LINCS_GUIDE_2019-F.pdfExecutive Summary -- Motor Vehicle Crashes and LINCS -- Introduction -- The LINCS Guide -- Section 1. Establishing a Motor Vehicle Crash Data Linkage Program -- Section 2. Building Partnerships -- Section 3. Developing a Business Model -- Section 4. Establishing the Data Linkage Process -- Conclusion -- Appendix A. National Systems for Motor Vehicle Crash Data -- Appendix B. Literature Review of Published Motor Vehicle Crash Research Using Linked Data -- Appendix C. Crash Outcome -- Data Evaluation System (CODES) -- Appendix D. Stakeholder Listening Sessions -- Appendix E. Select Data Linkage Method(s) -- Appendix F. Select Data Linkage Tools. -- Appendix G. State Motor Vehicle Crash Data Linkage Programs -- Appendix H. Motor Vehicle Crash Data Linkage Program Resources -- Appendix I. Department of Transportation Traffic Records Coordinating Committee Technical Assistance Resources -- Appendix J. Security Program Activities -- Appendix K. Privacy Program Activities. -- Appendix L. Sample Data Use Agreement -- Appendix M. Reduce Computational Requirements. -- Appendix N. Multiple Imputation and Missing Data -- Appendix O. Assessing Data Quality: Variation -- Appendix P. Evaluating Data Linkage Processes -- Appendix Q. Examples of MVC Data Content Standards -- Appendix R. Explanation of Figures for Accessibility -- Acknowledgments -- Acronyms. -- Glossary \u2013 References.2019674

“Perversity, Futility, Jeopardy”: An Economic Analysis of the Attack on Gun Control

A relatively new way for utilizing the thermal performance of heat pipes is to use nanofluids as working fluids in the heat pipes. Heat pipes are effective heat transfer devices in which the nanofluid operates in the two phases, evaporation and condensation. The heat pipe transfers the heat supplied in e.g. a laptop, from the evaporator to condenser part. Nanofluids are mixtures consisting of nanoparticles (e.g. nano-sized silver particles) and a base fluid (e.g. water). The aim of this bachelor’s thesis has been to examine the effect of nanofluids on heat pipes on the subject of temperature parameters and thermal resistance in the heat pies, through findings in literature and an applied model. The study, based on literature and an applied model, found that higher particle conductivity and higher concentration of nanoparticles consequently decrease the thermal resistance in the heat pipes, resulting in an enhanced thermal performance of the heat pipes with nanofluids as working fluids. It is however concluded that difficulties in finding the optimal synthesis of nanofluids, the concentration level of nanoparticles and the filling ratio of nanofluids in heat pipes, set bounds to the commercial use of nanofluids in heat pipes. It is suggested that, in order to enhance the heat transfer performance of nanofluids in heat pipes, to conduct further research concerning e.g. synthesis of nanofluids and concentration level of nanoparticles in nanofluids

Crash data quality for road safety research: current state and future directions

Crash databases are one of the primary data sources for road safety research. Therefore, their quality is fundamental for the accuracy of crash analyses and, consequently the design of effective countermeasures. Although crash data often suffer from correctness and completeness issues, these are rarely discussed or addressed in crash analyses. Crash reports aim to answer the five “W” questions (i.e. When?, Where?, What?, Who? and Why?) of each crash by including a range of attributes. This paper reviews current literature on the state of crash data quality for each of these questions separately. The most serious data quality issues appear to be: inaccuracies in crash location and time, difficulties in data linkage (e.g. with traffic data) due to inconsistencies in databases, severity misclassification, inaccuracies and incompleteness of involved users’ demographics and inaccurate identification of crash contributory factors. It is shown that the extent and the severity of data quality issues are not equal between attributes and the level of impact in road safety analyses is not yet entirely known. This paper highlights areas that require further research and provides some suggestions for the development of intelligent crash reporting systems