scholarly journals Lessons Learned from 40 Years of Local Option Transportation Sales Taxes in California

Author(s):  
Jaimee Lederman ◽  
Anne Brown ◽  
Brian D. Taylor ◽  
Martin Wachs

Jurisdictions across the United States have increasingly turned to local option sales taxes, or LOSTs, to fund transportation projects and programs. California is an enthusiastic adopter of these measures; since 1976, residents in over half of the state’s 58 counties have voted on 76 LOST measures. As of 2017, 24 counties, home to 88% of the state’s population, have LOST measures in place. Many counties have enacted multiple measures, with passage rates especially high among renewal and follow-on measures. This research is the first comprehensive analysis of LOST measures; drawing on measure expenditure plans to determine the range and frequency of transportation projects and services funded. This detailed review of expenditure plans across dozens of urban, suburban, and rural California counties offers insight on these measures and the projects and programs they fund. Overall, this study finds that LOSTs are heterogeneous, often including something for nearly every interest group. Almost all of the measures studied dedicate funding to a mix of transportation modes, including highways, public transit, local road maintenance, and active transportation. Expenditures on particular modes vary, reflecting transportation geography across counties. On average, 60% of LOST expenditures in California fund road projects and over 30% are allocated to public transit. Measures often dedicate a substantially larger share of revenue to transit relative to transit’s mode share. Finally, LOSTs typically appeal to diverse local interests by returning a portion of revenues to local jurisdictions to address local priority projects.

Author(s):  
Phillip Carleton ◽  
Sylvan Hoover ◽  
Ben Fields ◽  
Matthew Barnes ◽  
J. David Porter

The rapid growth in the availability and utility of vast amounts of digital data is arguably one of the most significant technological developments in recent years. In public transit, many agencies utilize modern technologies to collect large amounts of data, whereas smaller agencies with fewer resources and less expertise still use more traditional, manual data collection methods. Regardless of their technological capabilities, transit agencies recognize that some amount of transit data is useful and required. To the best of our knowledge, no standard data description of detailed fixed-route ridership exists today in the United States, forcing transit agencies to develop their own system of collecting, storing, and analyzing ridership and related data. In response to this need, this research aimed at developing one of the first public transit ridership data standards for fixed-route services and to support and promote its adoption and use. The resulting standard, an extension to the General Transit Feed Specification (GTFS) data standard, is referred to as GTFS-ride. GTFS-ride is easy to understand, able to accommodate the complexities of larger transit agencies, and capable of establishing a strong connection to the state of a transit network as it existed when the ridership data was collected. The first complete draft of GTFS-ride was released on September 6, 2017. This paper explains the structure of the five files that compose GTFS-ride, introduces additional support elements developed to facilitate its promotion and adoption, and documents the lessons learned from pilot implementations of GTFS-ride at three Oregon public transit agencies.


Author(s):  
Jodi Godfrey ◽  
Gennaro Saliceto ◽  
Roberta Yegidis

Destructive natural disasters such as hurricanes or other extreme weather events challenge many industries, especially the public transit industry. The 2017 hurricane season proved to be tumultuous, with three major hurricanes devastating the United States in less than 2 months. The challenges faced in Florida, in response to Hurricane Irma, precipitated best practices and lessons learned related to monitoring and reporting the status of transportation infrastructure, identifying temporary alternative solutions, and coordinating and communicating with emergency operations centers, state departments of transportation, and individual transit agencies. Sharing the lessons learned from recent firsthand experiences will undoubtedly improve the public transit industry’s emergency preparedness, response, and recovery activities.


2009 ◽  
Vol 95 (1) ◽  
pp. 6-12
Author(s):  
Kusuma Madamala ◽  
Claudia R. Campbell ◽  
Edbert B. Hsu ◽  
Yu-Hsiang Hsieh ◽  
James James

ABSTRACT Introduction: On Aug. 29, 2005, Hurricane Katrina made landfall along the Gulf Coast of the United States, resulting in the evacuation of more than 1.5 million people, including nearly 6000 physicians. This article examines the relocation patterns of physicians following the storm, determines the impact that the disaster had on their lives and practices, and identifies lessons learned. Methods: An Internet-based survey was conducted among licensed physicians reporting addresses within Federal Emergency Management Agency-designated disaster zones in Louisiana and Mississippi. Descriptive data analysis was used to describe respondent characteristics. Multivariate logistic regression was performed to identify the factors associated with physician nonreturn to original practice. For those remaining relocated out of state, bivariate analysis with x2 or Fisher exact test was used to determine factors associated with plans to return to original practice. Results: A total of 312 eligible responses were collected. Among disaster zone respondents, 85.6 percent lived in Louisiana and 14.4 percent resided in Mississippi before the hurricane struck. By spring 2006, 75.6 percent (n = 236) of the respondents had returned to their original homes, whereas 24.4 percent (n = 76) remained displaced. Factors associated with nonreturn to original employment included family or general medicine practice (OR 0.42, 95 percent CI 0.17–1.04; P = .059) and severe or complete damage to the workplace (OR 0.24, 95 percent CI 0.13–0.42; P < .001). Conclusions: A sizeable proportion of physicians remain displaced after Hurricane Katrina, along with a lasting decrease in the number of physicians serving in the areas affected by the disaster. Programs designed to address identified physician needs in the aftermath of the storm may give confidence to displaced physicians to return.


Public Voices ◽  
2016 ◽  
Vol 14 (1) ◽  
pp. 115
Author(s):  
Mary Coleman

The author of this article argues that the two-decades-long litigation struggle was necessary to push the political actors in Mississippi into a more virtuous than vicious legal/political negotiation. The second and related argument, however, is that neither the 1992 United States Supreme Court decision in Fordice nor the negotiation provided an adequate riposte to plaintiffs’ claims. The author shows that their chief counsel for the first phase of the litigation wanted equality of opportunity for historically black colleges and universities (HBCUs), as did the plaintiffs. In the course of explicating the role of a legal grass-roots humanitarian, Coleman suggests lessons learned and trade-offs from that case/negotiation, describing the tradeoffs as part of the political vestiges of legal racism in black public higher education and the need to move HBCUs to a higher level of opportunity at a critical juncture in the life of tuition-dependent colleges and universities in the United States. Throughout the essay the following questions pose themselves: In thinking about the Road to Fordice and to political settlement, would the Justice Department lawyers and the plaintiffs’ lawyers connect at the point of their shared strength? Would the timing of the settlement benefit the plaintiffs and/or the State? Could plaintiffs’ lawyers hold together for the length of the case and move each piece of the case forward in a winning strategy? Who were plaintiffs’ opponents and what was their strategy? With these questions in mind, the author offers an analysis of how the campaign— political/legal arguments and political/legal remedies to remove the vestiges of de jure segregation in higher education—unfolded in Mississippi, with special emphasis on the initiating lawyer in Ayers v. Waller and Fordice, Isaiah Madison


2021 ◽  
Vol 10 (16) ◽  
pp. 3454
Author(s):  
Joep G. J. Wijnand ◽  
Devin Zarkowsky ◽  
Bian Wu ◽  
Steven T. W. van Haelst ◽  
Evert-Jan P. A. Vonken ◽  
...  

Objective: The 2020 Global Vascular Guidelines aim at improving decision making in Chronic Limb-Threatening Ischemia (CLTI) by providing a framework for evidence-based revascularization. Herein, the Global Limb Anatomic Staging System (GLASS) serves to estimate the chance of success and patency of arterial pathway revascularization based on the extent and distribution of the atherosclerotic lesions. We report the preliminary feasibility results and observer variability of the GLASS. GLASS is a part of the new global guideline and posed as a promising additional tool for EBR strategies to predict the success of lower extremity arterial revascularization. This study reports on the consistency of GLASS scoring to maximize inter-observer agreement and facilitate its application. Methods: GLASS separately scores the femoropopliteal (FP) and infrapopliteal (IP) segment based on stenosis severity, lesion length and the extent of calcification within the target artery pathway (TAP). In our stepwise approach, we used two angiographic datasets. Each following step was based on the lessons learned from the previous step. The primary outcome was inter-observer agreement measured as Cohen’s Kappa, scored by two (step 1 + 2) and four (step 3) blinded and experienced observers, respectively. Steps 1 (n = 139) and 2 (n = 50) were executed within a dataset of a Dutch interventional RCT in CLTI. Step 3 (n = 100) was performed in randomly selected all-comer CLTI patients from two vascular centers in the United States. Results: In step 1, kappa values were 0.346 (FP) and 0.180 (IP). In step 2, applied in the same dataset, the use of other experienced observers and a provided TAP, resulted in similar low kappa values 0.406 (FP) and 0.089 (IP). Subsequently, in step 3, the formation of an altered stepwise approach using component scoring, such as separate scoring of calcification and adding a ruler to the images resulted in kappa values increasing to 0.796 (FP) and 0.730 (IP). Conclusion: This retrospective GLASS validation study revealed low inter-observer agreement for unconditioned scoring. A stepwise component scoring provides acceptable agreement and a solid base for further prospective validation studies to investigate how GLASS relates to treatment outcomes.


Author(s):  
Kevin Hauck ◽  
Katherine Hochman ◽  
Mark Pochapin ◽  
Sondra Zabar ◽  
Jeffrey A Wilhite ◽  
...  

Abstract Objective New York City was the epicenter of the outbreak of the 2020 COVID-19 pandemic in the United States. As a large, quaternary care medical center, NYU Langone Medical Center was one of many New York medical centers that experienced an unprecedented influx of patients during this time. Clinical leadership effectively identified, oriented, and rapidly deployed a “COVID Army”, consisting of non-hospitalist physicians, to meet the needs of this patient influx. We share feedback from our providers on our processes and offer specific recommendations for systems experiencing a similar influx in the current and future pandemics. Methods In order to assess the experiences and perceived readiness of these physicians (n=183), we distributed a 32-item survey between March and June of 2020. Thematic analyses and response rates were examined in order to develop results. Results Responses highlighted varying experiences and attitudes of our front-line physicians during an emerging pandemic. Thematic analyses revealed a series of lessons learned, including the need to: (1) provide orientations, (2) clarify roles/ workflow, (3) balance team workload, (4) keep teams updated on evolving policies, (5) make team members feel valued, and (6) ensure they have necessary tools available. Conclusions Lessons from our deployment and assessment are scalable at other institutions.


Author(s):  
Kevin Linka ◽  
Mathias Peirlinck ◽  
Amelie Schäfer ◽  
Oguz Ziya Tikenogullari ◽  
Alain Goriely ◽  
...  

AbstractThe timing and sequence of safe campus reopening has remained the most controversial topic in higher education since the outbreak of the COVID-19 pandemic. By the end of March 2020, almost all colleges and universities in the United States had transitioned to an all online education and many institutions have not yet fully reopened to date. For a residential campus like Stanford University, the major challenge of reopening is to estimate the number of incoming infectious students at the first day of class. Here we learn the number of incoming infectious students using Bayesian inference and perform a series of retrospective and projective simulations to quantify the risk of campus reopening. We create a physics-based probabilistic model to infer the local reproduction dynamics for each state and adopt a network SEIR model to simulate the return of all undergraduates, broken down by their year of enrollment and state of origin. From these returning student populations, we predict the outbreak dynamics throughout the spring, summer, fall, and winter quarters using the inferred reproduction dynamics of Santa Clara County. We compare three different scenarios: the true outbreak dynamics under the wild-type SARS-CoV-2, and the hypothetical outbreak dynamics under the new COVID-19 variants B.1.1.7 and B.1.351 with 56% and 50% increased transmissibility. Our study reveals that even small changes in transmissibility can have an enormous impact on the overall case numbers. With no additional countermeasures, during the most affected quarter, the fall of 2020, there would have been 203 cases under baseline reproduction, compared to 4727 and 4256 cases for the B.1.1.7 and B.1.351 variants. Our results suggest that population mixing presents an increased risk for local outbreaks, especially with new and more infectious variants emerging across the globe. Tight outbreak control through mandatory quarantine and test-trace-isolate strategies will be critical in successfully managing these local outbreak dynamics.


Author(s):  
Diane Meyer ◽  
Elena K. Martin ◽  
Syra Madad ◽  
Priya Dhagat ◽  
Jennifer B. Nuzzo

Abstract Objective: Candida auris infections continue to occur across the United States and abroad, and healthcare facilities that care for vulnerable populations must improve their readiness to respond to this emerging organism. We aimed to identify and better understand challenges faced and lessons learned by those healthcare facilities who have experienced C. auris cases and outbreaks to better prepare those who have yet to experience or respond to this pathogen. Design: Semi-structured qualitative interviews. Setting: Health departments, long-term care facilities, acute-care hospitals, and healthcare organizations in New York, Illinois, and California. Participants: Infectious disease physicians and nurses, clinical and environmental services, hospital leadership, hospital epidemiology, infection preventionists, emergency management, and laboratory scientists who had experiences either preparing for or responding to C. auris cases or outbreaks. Methods: In total, 25 interviews were conducted with 84 participants. Interviews were coded using NVivo qualitative coding software by 2 separate researchers. Emergent themes were then iteratively discussed among the research team. Results: Key themes included surveillance and laboratory capacity, inter- and intrafacility communication, infection prevention and control, environmental cleaning and disinfection, clinical management of cases, and media concerns and stigma. Conclusions: Many of the operational challenges noted in this research are not unique to C. auris, and the ways in which we address future outbreaks should be informed by previous experiences and lessons learned, including the recent outbreaks of C. auris in the United States.


Author(s):  
Sasha Harris-Lovett ◽  
Kara L. Nelson ◽  
Paloma Beamer ◽  
Heather N. Bischel ◽  
Aaron Bivins ◽  
...  

Wastewater surveillance for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging approach to help identify the risk of a coronavirus disease (COVID-19) outbreak. This tool can contribute to public health surveillance at both community (wastewater treatment system) and institutional (e.g., colleges, prisons, and nursing homes) scales. This paper explores the successes, challenges, and lessons learned from initial wastewater surveillance efforts at colleges and university systems to inform future research, development and implementation. We present the experiences of 25 college and university systems in the United States that monitored campus wastewater for SARS-CoV-2 during the fall 2020 academic period. We describe the broad range of approaches, findings, resources, and impacts from these initial efforts. These institutions range in size, social and political geographies, and include both public and private institutions. Our analysis suggests that wastewater monitoring at colleges requires consideration of local information needs, sewage infrastructure, resources for sampling and analysis, college and community dynamics, approaches to interpretation and communication of results, and follow-up actions. Most colleges reported that a learning process of experimentation, evaluation, and adaptation was key to progress. This process requires ongoing collaboration among diverse stakeholders including decision-makers, researchers, faculty, facilities staff, students, and community members.


Sign in / Sign up

Export Citation Format

Share Document