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Bi-Annual Pedestrian Counts
An index of pedestrian volumes tracking the long-term trends of neighborhood commercial corridors. Data is collected at 114 locations, including 100 on-street locations (primarily retail corridors), 13 East River and Harlem River bridge locations, and the Hudson River Greenway. Screenline sampling is conducted during May and September on the sidewalk, mid-block (or mid-bridge) on both sides of street where applicable. Pedestrian volumes at 50 sample locations around the City are combined to create the Pedestrian Volume Index for the Mayor’s Management Report. Click here for metadata - http://www.nyc.gov/html/dot/downloads/pdf/bi-annual-ped-count-readme.pdf
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Bi-Annual Pedestrian Counts
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An index of pedestrian volumes tracking the long-term trends of neighborhood commercial corridors. Data is collected at 114 locations, including 100 on-street locations (primarily retail corridors), 13 East River and Harlem River bridge locations, and the Hudson River Greenway. Screenline sampling is conducted during May and September on the sidewalk, mid-block (or mid-bridge) on both sides of street where applicable. Pedestrian volumes at 50 sample locations around the City are combined to create the Pedestrian Volume Index for the Mayor’s Management Report. Click here for metadata - http://www.nyc.gov/html/dot/downloads/pdf/bi-annual-ped-count-readme.pdf
Bicycle & Pedestrian Counts
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The annual bike and pedestrian count is a volunteer data collection effort each fall that helps the City understand where and how many people are biking and walking in Somerville, and how those numbers are changing over time. This program has been taking place each year since 2010. Counts are collected Tuesday, Wednesday, or Thursday for one hour in the morning and evening using a “screen line” method, whereby cyclists and pedestrians are counted as they pass by an imaginary line across the street and sidewalks. Morning count sessions begin between 7:15 and 7:45 am, and evening count sessions begin between 4:45 and 5:15 pm. Bike counts capture the number of people riding bicycles, so an adult and child riding on the same bike would be counted as two counts even though it is only one bike. Pedestrian counts capture people walking or jogging, people using a wheelchair or assistive device, children in strollers, and people using other micro-mobility devices, such as skateboards, scooters, or roller skates. While the City and its amazing volunteers do their best to collect accurate and complete data each year and the City does quality control to catch clear errors, it is not possible to ensure 100% accuracy of the data and not all locations have been counted every year of the program. There are also several external factors impacting counts that are not consistent year-to-year, such as nearby construction and weather. For these reasons, the counts are intended to be used to observe high-level trends across the city and at count locations, and not to extrapolate that biking and walking in Somerville has changed by a specific percentage or number. Data in this dataset are available at the location count level. To request data at the movement level, please contact transportation@somervillema.gov.
Pedestrian Counting System (counts per hour)
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This dataset contains hourly pedestrian counts since 2009 from pedestrian sensor devices located across the city. The data is updated on a monthly basis and can be used to determine variations in pedestrian activity throughout the day.The sensor_id column can be used to merge the data with the Pedestrian Counting System - Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting pedestrian counts over time.Importants notes about this dataset:• Where no pedestrians have passed underneath a sensor during an hour, a count of zero will be shown for the sensor for that hour.• Directional readings are not included, though we hope to make this available later in the year. Directional readings are provided in the Pedestrian Counting System – Past Hour (counts per minute) dataset.The Pedestrian Counting System helps to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.Related datasets:Pedestrian Counting System – Past Hour (counts per minute)Pedestrian Counting System - Sensor Locations
Pedestrian Counting System (counts per hour)
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This dataset contains hourly pedestrian counts since 2009 from pedestrian sensor devices located across the city. The data is updated on a monthly basis and can be used to determine variations in pedestrian activity throughout the day. The sensor_id column can be used to merge the data with the Pedestrian Counting System - Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting pedestrian counts over time. Importants notes about this dataset:• Where no pedestrians have passed underneath a sensor during an hour, a count of zero will be shown for the sensor for that hour.• Directional readings are not included, though we hope to make this available later in the year. Directional readings are provided in the Pedestrian Counting System – Past Hour (counts per minute) dataset. The Pedestrian Counting System helps to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation. Related datasets:Pedestrian Counting System – Past Hour (counts per minute)Pedestrian Counting System - Sensor Locations
Burke Gilman Trail north of NE 70th St Bicycle and Pedestrian Counter
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These sensors counts both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a wooden post detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians.
2019 Walk & Bike Count Data
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Count data recorded during the 2019 Walk & Bike Count. Includes those walking, biking, riding motorized scooters, and using other active travel modes.