Freight in a Bicycle-Friendly City: Exploratory Analysis with New York City Open Data

2016 ◽  
Vol 2547 (1) ◽  
pp. 91-101 ◽  
Author(s):  
Alison Conway ◽  
Nathan Tavernier ◽  
Victor Leal-Tavares ◽  
Niloofar Gharamani ◽  
Lisa Chauvet ◽  
...  
Author(s):  
Adriana Eugene ◽  
Naomi Alpert ◽  
Wil Lieberman-Cribbin ◽  
Emanuela Taioli
Keyword(s):  
New York ◽  

Author(s):  
Pierre Escand ◽  
Quanquan Chen ◽  
Alison Conway

This study employed basic demand estimation, field observation, text analysis, and spatial analysis methods to examine the adequacy of the existing supply of commercial dedicated parking space in high-density areas of New York City to accommodate expected demand for direct-to-home deliveries. The study also examined the proximity of available commercial dedicated parking space to end delivery locations. The study estimated and mapped two performance metrics: (1) the share of on-street commercial dedicated parking demanded for expected U.S. Postal Service residential freight deliveries, and (2) the share of these package deliveries expected to occur within a reasonable walking distance of a commercial dedicated parking space. The study relies on a variety of open data sources and on limited field observations; owing to data limitations, and resulting assumptions for baseline analysis, sensitivity analysis was also conducted. Results suggest that there is currently both a spatial and temporal mismatch between the commercial dedicated parking supply and expected residential delivery demand, and that shifts toward express deliveries may exacerbate this mismatch. Future research needs are also discussed.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Daniel Carrión ◽  
Elena Colicino ◽  
Nicolo Foppa Pedretti ◽  
Kodi B. Arfer ◽  
Johnathan Rush ◽  
...  

AbstractThe COVID-19 pandemic has yielded disproportionate impacts on communities of color in New York City (NYC). Researchers have noted that social disadvantage may result in limited capacity to socially distance, and consequent disparities. We investigate the association between neighborhood social disadvantage and the ability to socially distance, infections, and mortality in Spring 2020. We combine Census Bureau and NYC open data with SARS-CoV-2 testing data using supervised dimensionality-reduction with Bayesian Weighted Quantile Sums regression. The result is a ZIP code-level index with weighted social factors associated with infection risk. We find a positive association between neighborhood social disadvantage and infections, adjusting for the number of tests administered. Neighborhood disadvantage is also associated with a proxy of the capacity to socially isolate, NYC subway usage data. Finally, our index is associated with COVID-19-related mortality.


Findings ◽  
2021 ◽  
Author(s):  
Andrea Gorrini ◽  
Dante Presicce ◽  
Rawad Choubassi ◽  
Ipek Nese Sener
Keyword(s):  
New York ◽  

1942 ◽  
Vol 74 (3-4) ◽  
pp. 155-162
Author(s):  
H. Kurdian

In 1941 while in New York City I was fortunate enough to purchase an Armenian MS. which I believe will be of interest to students of Eastern Christian iconography.


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