Analysis of Strategies To Control Traffic Noise at the Source: Implications for Policy Makers

Author(s):  
Lloyd A. Herman

Traffic noise control strategies that reduce traffic noise at the source were identified. The strategies were grouped according to the vehicle noise sub-sources: engine, intake air, exhaust, cooling fan, transmission/driveline, and tire/pavement. Examples of the strategies and recent advancements in vehicle noise control are given. The analysis yielded a number of implications for policy makers. In the United States, market forces are currently fostering technological advancements to reduce most of the vehicle noise subsources. However, the reduction of tire/pavement noise, the dominant subsource at freeway speeds, is currently benefiting little from market forces and may be hindered in the future by trends in passenger car tires. Policies and regulations, where warranted, should be aimed at reducing tire/pavement noise through a concerted effort on the part of both tire and pavement industries as well as transportation agencies.

Author(s):  
Michael T. Mcnerney ◽  
B.J. Landsberger ◽  
Tracy Turen ◽  
Albert Pandelides

The effects of traffic noise are a serious concern in the United States and in the rest of the world. One significant component of traffic noise is tire-pavement interaction. If tire-pavement noise can be reduced at the source instead of through the use of traffic noise barriers set up to protect individual receivers, then potential savings can accrue. This research effort conducted field testing on 15 different pavement types found in Texas, and on six pavement types found in South Africa. A test procedure was developed with roadside microphones and microphones mounted on a test trailer to record and analyze the differences in tire-pavement noise. The test procedure was designed to develop comparisons of pavements while other variables were kept constant. The results, measured on the standard A-weighted scale, indicated for the 15 test pavements in Texas a difference of roadside noise levels of up to 7 dBA. Additionally, a roadside noise level of one pavement measured in South Africa was more than 2 dBA quieter than any Texas pavement.


1987 ◽  
Vol 19 (9) ◽  
pp. 97-106
Author(s):  
J. J. Vasconcelos

Hater resource managers in semi-arid regions are faced with some unique problems. The wide variations in precipitation and stream flows in semi-arid regions increase man's dependence on the ground water resource for an ample and reliable supply of water. Proper management of the ground water resource is absolutely essential to the economic well being of semi-arid regions. Historians have discovered the remains of vanished advanced civilizations based on irrigated agriculture which were ignorant of the importance of proper ground water resource management. In the United States a great deal of effort is presently being expended in the study and control of toxic discharges to the ground water resource. What many public policy makers fail to understand is that the potential loss to society resulting from the mineralization of the ground water resource is potentially much greater than the loss caused by toxic wastes discharges, particularly in developing countries. Appropriations for ground water resource management studies in developed countries such as the United States are presently much less than those for toxic wastes management and should be increased. It is the reponsibility of the water resource professional to emphasize to public policy makers the importance of ground water resource management. Applications of ground water resource management models in the semi-arid Central Valley of California are presented. The results demonstrate the need for proper ground water resource management practices in semi-arid regions and the use of ground water management models as a valuable tool for the water resource manager.


Author(s):  
Roger L. Wayson ◽  
Kenneth Kaliski

Modeling road traffic noise levels without including the effects of meteorology may lead to substantial errors. In the United States, the required model is the Traffic Noise Model which does not include meteorology effects caused by refraction. In response, the Transportation Research Board sponsored NCHRP 25-52, Meteorological Effects on Roadway Noise, to collect highway noise data under different meteorological conditions, document the meteorological effects on roadway noise propagation under different atmospheric conditions, develop best practices, and provide guidance on how to: (a) quantify meteorological effects on roadway noise propagation; and (b) explain those effects to the public. The completed project at 16 barrier and no-barrier measurement positions adjacent to Interstate 17 (I-17) in Phoenix, Arizona provided the database which has enabled substantial developments in modeling. This report provides more recent information on the model development that can be directly applied by the noise analyst to include meteorological effects from simple look-up tables to more precise use of statistical equations.


1994 ◽  
Vol 20 (1-2) ◽  
pp. 203-229
Author(s):  
John D. Blum

National economies worldwide are in disarray, evidenced by escalating debts and growing deficits. As countries struggle with their faltering economies they are hard pressed to fulfill commitments of social programs made in more prosperous times, much less take on new government initiatives. The current experiences in health reform in the United States present an interesting example of the dilemmas governments now face when they embark on new ventures. While great political pressures have been launched and high expectations abound, the reality of American health reform quickly reveals that expanded access will come at a high price that won't be offset easily by conventional cost containment or market forces.In the search for an acceptable model for health reform, it was popular for policy makers and academics to turn their attentions to the health systems of other nations. Recommendations were made that the US should adopt a German or Canadian solution for our health problems.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ye Emma Zohner ◽  
Jeffrey S. Morris

Abstract Background The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases, hospitalizations and deaths make it challenging to accurately track and identify true infectious surges from available data, and requires a multi-modal approach that simultaneously considers testing, incidence, hospitalizations, and deaths. Although many websites and applications report a subset of these data, none of them provide graphical displays capable of comparing different states or countries on all these measures as well as various useful quantities derived from them. Here we introduce a freely available dynamic representation tool, COVID-TRACK, that allows the user to simultaneously assess time trends in these measures and compare various states or countries, equipping them with a tool to investigate the potential effects of the different mitigation strategies and timelines used by various jurisdictions. Findings COVID-TRACK is a Python based web-application that provides a platform for tracking testing, incidence, hospitalizations, and deaths related to COVID-19 along with various derived quantities. Our application makes the comparison across states in the USA and countries in the world easy to explore, with useful transformation options including per capita, log scale, and/or moving averages. We illustrate its use by assessing various viral trends in the USA and Europe. Conclusion The COVID-TRACK web-application is a user-friendly analytical tool to compare data and trends related to the COVID-19 pandemic across areas in the United States and worldwide. Our tracking tool provides a unique platform where trends can be monitored across geographical areas in the coming months to watch how the pandemic waxes and wanes over time at different locations around the USA and the globe.


2020 ◽  
Vol 222 (7) ◽  
pp. 1138-1144 ◽  
Author(s):  
Sarah M Bartsch ◽  
Elizabeth A Mitgang ◽  
Gail Geller ◽  
Sarah N Cox ◽  
Kelly J O’Shea ◽  
...  

Abstract Background The protection that an influenza vaccine offers can vary significantly from person to person due to differences in immune systems, body types, and other factors. The question, then, is what is the value of efforts to reduce this variability such as making vaccines more personalized and tailored to individuals. Methods We developed a compartment model of the United States to simulate different influenza seasons and the impact of reducing the variability in responses to the influenza vaccine across the population. Results Going from a vaccine that varied in efficacy (0–30%) to one that had a uniform 30% efficacy for everyone averted 16.0–31.2 million cases, $1.9–$3.6 billion in direct medical costs, and $16.1–$42.7 billion in productivity losses. Going from 0–50% in efficacy to just 50% for everyone averted 27.7–38.6 million cases, $3.3–$4.6 billion in direct medical costs, and $28.8–$57.4 billion in productivity losses. Going from 0–70% to 70% averted 33.6–54.1 million cases, $4.0–$6.5 billion in direct medical costs, and $44.8–$64.7 billion in productivity losses. Conclusions This study quantifies for policy makers, funders, and vaccine developers and manufacturers the potential impact of efforts to reduce variability in the protection that influenza vaccines offer (eg, developing vaccines that are more personalized to different individual factors).


2012 ◽  
Vol 13 (4) ◽  
pp. 473-476
Author(s):  
TAKASHI INOGUCHI

This special issue focuses on the role of civil society in international relations. It highlights the dynamics and impacts of public opinion on international relations (Zaller, 1992). Until recently, it was usual to consider public opinion in terms of its influence on policy makers and in terms of moulding public opinion in the broad frame of the policy makers in one's country. Given that public opinion in the United States was assessed and judged so frequently and diffused so globally, it was natural to frame questions guided by those concepts which pertained to the global and domestic context of the United States.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S714-S715
Author(s):  
Jean-Etienne Poirrier ◽  
Theodore Caputi ◽  
John Ayers ◽  
Mark Dredze ◽  
Sara Poston ◽  
...  

Abstract Background A small number of powerful users (“influencers”) dominates conversations on social media platforms: less than 1% of Twitter accounts have at least 3,000 followers and even fewer have hundreds of thousands or millions of followers. Beyond simple metrics (number of tweets, retweets...) little is known about these “influencers”, particularly in relation to their role in shaping online narratives about vaccines. Our goal was to describe influential Twitter accounts that are driving conversations about vaccines and present new metrics of influence. Methods Using publicly-available data from Twitter, we selected posts from 1-Jan-2016 to 31-Dec-2018 and extracted the top 5% of accounts tweeting about vaccines with the most followers. Using automated classifiers, we determined the location of these accounts, and grouped them into those that primarily tweet pro- versus anti-vaccine content. We further characterized the demographics of these influencer accounts. Results From 25,381 vaccine-related tweets available in our sample representing 10,607 users, 530 accounts represented the top 5% by number of followers. These accounts had on average 1,608,637 followers (standard deviation=5,063,421) and 340,390 median followers. Among the accounts for which sentiment was successfully estimated by the classifier, 10.4% (n=55) posted anti-vaccine content and 33.6% (n=178) posted pro-vaccine content. Of the 55 anti-vaccine accounts, 50% (n=18) of the accounts for which location was successfully determined were from the United States. Of the 178 pro-vaccine accounts, 42.5% (n=54) were from the United States. Conclusion This study showed that only a small proportion of Twitter accounts (A) post about vaccines and (B) have a high follower count and post anti-vaccine content. Further analysis of these users may help researchers and policy makers better understand how to amplify the impact of pro-vaccine social media messages. Disclosures Jean-Etienne Poirrier, PhD, MBA, The GSK group of companies (Employee, Shareholder) Theodore Caputi, PhD, Good Analytics Inc. (Consultant) John Ayers, PhD, GSK (Grant/Research Support) Mark Dredze, PhD, Bloomberg LP (Consultant)Good Analytics (Consultant) Sara Poston, PharmD, The GlaxoSmithKline group of companies (Employee, Shareholder) Cosmina Hogea, PhD, GlaxoSmithKline (Employee, Shareholder)


2011 ◽  
Vol 113 (4) ◽  
pp. 811-830
Author(s):  
Adrienne D. Dixson

Background/Context The Supreme Court's June 2007 decision on the Parents Involved in Community Schools v. Seattle School District No.1 (PICS) provides an important context for school districts and educational policy makers as they consider the role of race in school assignment. The PICS decision has been described as essentially “undoing” the 1954 Supreme Court decision in the Brown v. Board of Education of Topeka case that ended de jure racial segregation. Purpose/Objective/Research Question/Focus of Study Given the rhetoric that education in the United States is the “great equalizer,” this conceptual article considers how the PICS decisions impact notions of educational equity and self-determination for African Americans. Research Design This article provides a conceptual analysis of the PICS decision and educational equity. Conclusions/Recommendations The author recommends that despite the PICS decision, school administrators and policy makers continue to consider how race impacts school assignment to ensure that public schools are democratic institutions that are racially and educationally equitable.


Sign in / Sign up

Export Citation Format

Share Document