Explore the vast range of titles available.

Significant research has been conducted in recent years to determine crash hotspots. This study focused on the effects of various traffic parameters, including average traffic speed and traffic volume, on the spatial distributions of freeway crashes. Specifically, this study analyzed the spatial distributions of crashes on the Qazvin–Abyek freeway in Iran using four-year crash records. Spatial crash clustering analysis was performed to identify hotspots and high cluster segments using global Moran’s I, local Moran’s I, and Getis-Ord Gi*. The global Moran’s I indicated that clusters were formed under the low range of hourly traffic volume (less than 1107 veh/h) and the high range of traffic speed (more than 97 km/h), which increased the number of heavy vehicle crashes in the early morning (time 03–06) around the 52 km segment. The results obtained from kernel density estimation (KDE), local Moran’s I, and Getis-Ord Gi* revealed similar crash hotspots. The results further showed different spatial distributions of crashes for different traffic hourly volumes, traffic speed, and crash times, and there was hotspot migration by applying different traffic conditions. These findings can be used to identify high-risk crash conditions for traffic managers and help them to make the best decisions to enhance road safety.

Throughout history, rich and poor countries alike have been lending, borrowing, crashing--and recovering--their way through an extraordinary range of financial crises. Each time, the experts have chimed, \"this time is different\"--claiming that the old rules of valuation no longer apply and that the new situation bears little similarity to past disasters. With this breakthrough study, leading economists Carmen Reinhart and Kenneth Rogoff definitively prove them wrong. Covering sixty-six countries across five continents, This Time Is Different presents a comprehensive look at the varieties of financial crises, and guides us through eight astonishing centuries of government defaults, banking panics, and inflationary spikes--from medieval currency debasements to today's subprime catastrophe. Carmen Reinhart and Kenneth Rogoff, leading economists whose work has been influential in the policy debate concerning the current financial crisis, provocatively argue that financial combustions are universal rites of passage for emerging and established market nations. The authors draw important lessons from history to show us how much--or how little--we have learned.

Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this study, we proposed a model that adopts a hybrid ensemble machine learning classifier structured from sequential minimal optimization and decision trees to identify risk factors contributing to fatal road injuries. The model was constructed, trained, tested, and validated using the Lebanese Road Accidents Platform (LRAP) database of 8482 road crash incidents, with fatality occurrence as the outcome variable. A sensitivity analysis was conducted to examine the influence of multiple factors on fatality occurrence. Seven out of the nine selected independent variables were significantly associated with fatality occurrence, namely, crash type, injury severity, spatial cluster-ID, and crash time (hour). Evidence gained from the model data analysis will be adopted by policymakers and key stakeholders to gain insights into major contributing factors associated with fatal road crashes and to translate knowledge into safety programs and enhanced road policies.

[This corrects the article DOI: 10.1371/journal.pone.0227869.].[This corrects the article DOI: 10.1371/journal.pone.0227869.].

Autonomous vehicle (AV) technology has advanced rapidly in recent years with some automated features already available in vehicles on the market. AVs are expected to reduce traffic crashes as the majority of crashes are related to driver errors, fatigue, alcohol, or drugs. However, very little research has been conducted to estimate the safety impact of AVs. This paper aims to investigate the safety impacts of AVs using a simulation-based surrogate safety measure approach. To this end, safety impacts are explored through the number of conflicts extracted from the VISSIM traffic microsimulator using the Surrogate Safety Assessment Model (SSAM). Behaviours of human-driven vehicles (HVs) and AVs (level 4 automation) are modelled within the VISSIM’s car-following model. The safety investigation is conducted for two case studies, that is, a signalised intersection and a roundabout, under various AV penetration rates. Results suggest that AVs improve safety significantly with high penetration rates, even when they travel with shorter headways to improve road capacity and reduce delay. For the signalised intersection, AVs reduce the number of conflicts by 20% to 65% with the AV penetration rates of between 50% and 100% (statistically significant at p<0.05). For the roundabout, the number of conflicts is reduced by 29% to 64% with the 100% AV penetration rate (statistically significant at p<0.05).

Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash characteristics in China while lacking the characteristics of various crash types, factors, and the interplay between them. This study investigated the crash characteristics in Shenzhen, one of the biggest four cities in China, based on the police-reported crashes from 2014 to 2016. The descriptive characteristics were reported in detail with respect to each of the crash attributes. Based on the recorded crash locations, the land-use pattern was obtained as one of the attributes for each crash. Then, the relationship between the attributes in motor-vehicle-involved crashes was examined using the Bayesian network analysis. We revealed the distinct crash characteristics observed between the examined levels of each attribute, as well the interplay between the attributes. This study provides an insight into the crash characteristics in Shenzhen, which would help understand the driving behavior of Chinese drivers, identify the traffic safety problems, guide the research focuses on advanced driver assistance systems (ADASs) and traffic management countermeasures in China.

In Vanishing Point , award winning journalist and author Tom Wilber pieces together the largely forgotten story of the bomber, Getaway Gertie , and an eclectic group of enthusiasts who have spent years searching for it. At the height of World War II, a B-24 Liberator bomber vanished with its crew while on a training mission over upstate New York. The final hours and ultimate resting place of pilot Keith Ponder and seven other US aviators aboard the plane remain mysteries to this day. The tale is at once a compelling instance of loss on the World War II American home front and a more extensive, largely unreported history. Ponder-a 21-year-old from rural Mississippi-and his crew were tragically unexceptional casualties in the monumental effort to recruit and train an air force en masse to counter the global conquest of Nazi Germany and Imperial Japan. More than fifteen thousand American airmen and, in some cases, women burned, crashed, or fell to their deaths in stateside training accidents during the war-their lives and stories shuffled away in piles of Air Force bureaucracy. The forgotten story of Getaway Gertie was originally inspired by summer evenings around the campfire on the shores of Lake Ontario, where parts of the plane have washed up. Building on those campfire tales, Wilber deftly connects myth with fact and memory with historicity. The result is a vivid portrait of the forgotten soldier of the home front and a new take on the meaning of wartime sacrifice as the last survivors of the Greatest Generation pass away.

The Transport Airplane Risk Assessment Methodology (TARAM) is a process for calculating risk associated with continued operational safety issues in the U.S. transport airplane fleet. TARAM is important because its risk-analysis calculations are used when making determinations of unsafe conditions in transport airplanes and when selecting and implementing corrective actions. This report assesses the TARAM process used by the FAA in its efforts to improve the overall safety of the transport airplane fleet. A healthy safety culture requires commitment to continuous improvement. This report provides recommendations to the FAA to address the gaps and strengthen the TARAM.

What is wrong with today's banking system? The past few years have shown that risks in banking can impose significant costs on the economy. Many claim, however, that a safer banking system would require sacrificing lending and economic growth.The Bankers' New Clothesexamines this claim and the narratives used by bankers, politicians, and regulators to rationalize the lack of reform, exposing them as invalid. Admati and Hellwig argue we can have a safer and healthier banking system without sacrificing any of the benefits of the system, and at essentially no cost to society. They show that banks are as fragile as they are not because they must be, but because they want to be--and they get away with it. Whereas this situation benefits bankers, it distorts the economy and exposes the public to unnecessary risks. Weak regulation and ineffective enforcement allowed the buildup of risks that ushered in the financial crisis of 2007-2009. Much can be done to create a better system and prevent crises. Yet the lessons from the crisis have not been learned. Admati and Hellwig seek to engage the broader public in the debate by cutting through the jargon of banking, clearing the fog of confusion, and presenting the issues in simple and accessible terms.The Bankers' New Clothescalls for ambitious reform and outlines specific and highly beneficial steps that can be taken immediately.

There are mechanistic reasons for covering the mouth to reduce respiratory droplet transmission and, indeed, cough etiquette is based on these considerations and not on evidence from clinical trials.14 Evidence on non-pharmaceutical public health measures including use of masks to mitigate the risk and impact of pandemic influenza was reviewed by a workshop convened by WHO in 2019; the workshop concluded that although there was no evidence from trials of effectiveness in reducing transmission, “there is mechanistic plausibility for the potential effectiveness of this measure”, and it recommended that in a severe influenza pandemic use of masks in public should be considered.15 Dismissing a low-cost intervention such as mass masking as ineffective because there is no evidence of effectiveness in clinical trials is in our view potentially harmful. [...]there are concerns that mask wearing could engender a false sense of security in relation to other methods of infection control such as social distancing and handwashing. [...]masking can be compared to safe driving: other road users and pedestrians benefit from safe driving and if all drive carefully, the risk of road traffic crashes is reduced.