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10 Results
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Tags > transportation
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Bike and pedestrian counters have been installed at six locations along the Elizabeth River Trail and at 15 locations along Norfolk’s existing bike lanes to accurately track pedestrian and cyclist use along the trail and bike network. This counter system combines the passive infrared sensor to count pedestrians on the adjacent sidewalk and an inductive loop sensor to detect bicycles in existing bike lanes. This dataset comprises data from two types of counters – Eco-Counter and Roadsys. The Eco-Counter data begins in April 2019 and is updated weekly. The Roadsys data begins in April 2021 and is updated quarterly.
Please note: The counters at the following location are currently offline, making up-to-date data from these counters temporarily unavailable:
- Weyanoke Footbridge – last date August 28, 2019
- E. Ocean View Avenue – last date April 28, 2021
- ERT Bridge/Lamberts Point – last date April 28, 2021
- Jeff Robertson Park (ERT) – last date December 17, 2021
- Park Ave/Claiborne Ave (ERT) – last date December 19, 2021
We are working to correct this issue as quickly as possible.
- Weyanoke Footbridge – last date August 28, 2019
- E. Ocean View Avenue – last date April 28, 2021
- ERT Bridge/Lamberts Point – last date April 28, 2021
- Jeff Robertson Park (ERT) – last date December 17, 2021
- Park Ave/Claiborne Ave (ERT) – last date December 19, 2021
We are working to correct this issue as quickly as possible.
Updated
April 21 2022
Views
1,704
From the Web site:
The general public may access several sections of ASPM.faa.gov without logging in.
ASPM: ASPM: Airport Analysis, City Pair Analysis and Taxi Time data will be available within 60 days after the end of the month; i.e., August data will be available no later than November 1.
ATADS: Data previously available in ATADS is now available in OPSNET.
OPSNET: Operations and Delay data for each month will be available on the 20th of the next month; i.e., August data will be available on September 20.
CountOps: CountOps has the same access and availability schedule as OPSNET.
TFMSC: TFMSC: Airport and Distributed OPSNET data for each month will be available within 31 days after the end of the month; i.e., September data will be available no later than November 1.
ASQP: Operations by Airport data will be available within 60 days after the end of the month; i.e., August data will be available no later than November 1.
The general public may access several sections of ASPM.faa.gov without logging in.
ASPM: ASPM: Airport Analysis, City Pair Analysis and Taxi Time data will be available within 60 days after the end of the month; i.e., August data will be available no later than November 1.
ATADS: Data previously available in ATADS is now available in OPSNET.
OPSNET: Operations and Delay data for each month will be available on the 20th of the next month; i.e., August data will be available on September 20.
CountOps: CountOps has the same access and availability schedule as OPSNET.
TFMSC: TFMSC: Airport and Distributed OPSNET data for each month will be available within 31 days after the end of the month; i.e., September data will be available no later than November 1.
ASQP: Operations by Airport data will be available within 60 days after the end of the month; i.e., August data will be available no later than November 1.
Tags
transportation
Updated
September 26 2020
Views
311
This dataset is data about trips on electric scooters and electric-assisted bikes. Lime scooters were made available to the public in June 2019 to use throughout Norfolk, and Lime e-bikes were made available to the public in June 2021. Data represents trips from July 2019 to the present and is updated weekly.
Updated
May 3 2022
Views
1,323
Tags
transportation
Updated
March 30 2022
Views
35
Updated
August 7 2020
Views
2,517
"ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event.
SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking."
Updated
October 7 2021
Views
1,693
The Bureau of Transportation Statistics (BTS), part of the Department of Transportation (DOT) is the preeminent source of statistics on commercial aviation, multimodal freight activity, and transportation economics, and provides context to decision makers and the public for understanding statistics on transportation. BTS assures the credibility of its products and services through rigorous analysis, transparent data quality, and independence from political influence. BTS promotes innovative methods of data collection, analysis, visualization, and dissemination to improve operational efficiency, to examine emerging topics, and to create relevant and timely information products that foster understanding of transportation and its transformational role in society. The Bureau’s National Transportation Library (NTL) is the permanent, publicly accessible home for research publications from throughout the transportation community; the gateway to all DOT data; and the help line for the Congress, researchers, and the public for information about transportation.
Tags
transportation
Updated
September 27 2020
Views
354
This story showcases data resources provided by Virginia Department of Rail and Public Transportation (DRPT).
Updated
February 15 2022
Views
119
Tags
transportation
Updated
December 9 2020
Views
1,986
2013-2020 Virginia Tenure by Vehicles Available by Census Block Group (ACS 5-Year). Contains estimates and margins of error.
U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B25044
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)
The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)
Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.
Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.
Updated
March 30 2022
Views
21
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