scholarly journals The cost-effectiveness of bike lanes in New York City

2016 ◽  
Vol 23 (4) ◽  
pp. 239-243 ◽  
Author(s):  
Jing Gu ◽  
Babak Mohit ◽  
Peter Alexander Muennig
2018 ◽  
Vol 95 (6) ◽  
pp. 888-898 ◽  
Author(s):  
Wenya Yu ◽  
Chen Chen ◽  
Boshen Jiao ◽  
Zafar Zafari ◽  
Peter Muennig

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0184210 ◽  
Author(s):  
Boshen Jiao ◽  
Zohn Rosen ◽  
Martine Bellanger ◽  
Gary Belkin ◽  
Peter Muennig

2019 ◽  
Vol 14 ◽  
pp. 100586
Author(s):  
Wenya Yu ◽  
David Suh ◽  
Shanshan Song ◽  
Boshen Jiao ◽  
Lulu Zhang ◽  
...  

2017 ◽  
Vol 12 (4) ◽  
pp. 426-435 ◽  
Author(s):  
Paul J. Merton

AbstractThis paper examines the evolution of champagne prices in New York City from 1948 to 2013 by determining how many hours one must work, using after-tax income, to purchase a bottle of champagne. Each of the three brands analyzed—Bollinger, Louis Roederer, and Moët & Chandon—was divided into three tiers of nonvintage, vintage, and flagship champagne. The results indicated that all income groups worked fewer hours for entry-level nonvintage bottles of champagne, whereas the number of hours required to purchase flagship bottles generally increased. (JEL Classifications: E31, H24)


1981 ◽  
Vol 96 (1) ◽  
pp. 148
Author(s):  
Stephen David ◽  
Charles R. Morris
Keyword(s):  
New York ◽  

2017 ◽  
Vol 25 (2) ◽  
pp. 98-103 ◽  
Author(s):  
Boshen Jiao ◽  
Sooyoung Kim ◽  
Jonas Hagen ◽  
Peter Alexander Muennig

BackgroundNeighbourhood slow zones (NSZs) are areas that attempt to slow traffic via speed limits coupled with other measures (eg, speed humps). They appear to reduce traffic crashes and encourage active transportation. We evaluate the cost-effectiveness of NSZs in New York City (NYC), which implemented them in 2011.MethodsWe examined the effectiveness of NSZs in NYC using data from the city’s Department of Transportation in an interrupted time series analysis. We then conducted a cost-effectiveness analysis using a Markov model. One-way sensitivity analyses and Monte Carlo analyses were conducted to test error in the model.ResultsAfter 2011, road casualties in NYC fell by 8.74% (95% CI 1.02% to 16.47%) in the NSZs but increased by 0.31% (95% CI −3.64% to 4.27%) in the control neighbourhoods. Because injury costs outweigh intervention costs, NSZs resulted in a net savings of US$15 (95% credible interval: US$2 to US$43) and a gain of 0.002 of a quality-adjusted life year (QALY, 95% credible interval: 0.001 to 0.006) over the lifetime of the average NSZ resident relative to no intervention. Based on the results of Monte Carlo analyses, there was a 97.7% chance that the NSZs fall under US$50 000 per QALY gained.ConclusionWhile additional causal models are needed, NSZs appeared to be an effective and cost-effective means of reducing road casualties. Our models also suggest that NSZs may save more money than they cost.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Heesun Eom ◽  
Stella S Yi ◽  
Daniel Bu ◽  
Rienna Russo ◽  
Brandon Bellows ◽  
...  

Background: Low fruit and vegetable (FV) consumption is considered one of the leading causes of deteriorating health outcomes, and has been linked to obesity, diabetes, and cardiovascular disease. Yet, few adults in New York City (NYC) consume the daily recommended amounts. In order to address the need for fresh and affordable fruits and vegetables, the NYC Department of Health and Mental Hygiene has implemented the “Health Bucks” program, which provides low-income population with coupons that can be used to purchase fruits and vegetetabls. Previous studies have shown the impact of the Health Bucks program on fruit and vegetable consumption; however, it is unclear how the program would influence cardiovascular health and the associated health care costs in the long term. Objective: To estimate the health and economic impact of the Health Bucks program using a validated microsimulation model of cardiovascular disease (CVD) in NYC. Methods: We used the Simulations for Health Improvement and Equity (SHINE) CVD Model to estimate the impact of the Health Bucks program on lifetime CVD events and direct medical costs (2019 USD). We considered different program strengths by assuming the program can reduce the cost of fruits and vegetables by 20%, 30%, and 40%. Population characteristics were estimated based on data from the 2013-2014 NYC Health and Nutrition Examination Survey. CVD risk factor trajectories and risk of incident CVD events were derived from six pooled longitudinal US cohorts. Policy effects were derived from the literature. We run 1,000 simulations to account for uncertainties in the parameter. We discounted costs by 3% and reported health care costs in 2019 dollars. Results: A Health Bucks program that can reduce the cost of fruits and vegetables by 20%, 30%, and 40% would prevent 2,690 (95% CI: -14,793, 20,173), 27,386 (95% CI: 9,967, 44,805), and 50,014 (95% CI: 15,227, 50,014) coronary heart disease events, respectively, over the simulated lifetimes of the NYC population. The program would also prevent 47,469 (95% CI: 35,008, 59,931), 59,127 (95% CI: 46,676, 71,579), and 85,359 (95% CI: 72,902, 97,815) stroke events based on the price reduction level. The program would result in savings in health care costs, ranged from $937 million to $1.8 billion based on the price reduction level over the lifetime or from $19 million to $37 million annually. Conclusions: We projected that the Health Bucks program could prevent a significant number of CVD events among adults in NYC and yield substantial health care cost savings. Public health practitioners and policymakers may consider adopting this program in other locations.


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