This dataset contains the Average Daily Traffic counts and AM and PM peak hour Traffic counts measured on various road segments in the City of Cambridge from 1972 to 2017. The counts in this data set reflect only vehicle counts. An Average Daily Count measures the number of vehicles for an entire day, or an average of several days. Automatic Traffic Recorders (ATRs) log every vehicle that passes in each direction and this data is used to calculate Average Daily Traffic volumes and AM and PM Peak Hour Traffic Volumes for the street. The Peak Hour is average highest number of vehicles recorded during the morning and evening peak hour. Not all streets have the same peak hour. For example, the peak hour for one street could be 5 pm to 6 pm, whereas a peak hour for another street could be from 5:15 pm to 6:15 pm. The peak hour for a street can also change from day to day. When counts are done for several days, the Peak Hour count is the average of the highest peak hour over those days.
Automatic Traffic Recorders (ATR’s) are rubber hoses temporarily affixed to the street. When a vehicle passes, a pulse of air passes through the hose and triggers an air switch in a recording device on the roadside. The recorder device is a small steel box powered by a battery. Air switch triggers are stored on board and later downloaded to a computer. Note: Traditional and older ATRs were not able to record bicycles, however, more recent ATR’s (past 5 to 10 years) have been able to record bicycles that pass over the recorder.

This layer contains the Parking Tickets issued since January 2014 and contains tickets that were issued by both the PCO's, the Parking Control Officers, and the Cambridge Police. It does not contain Ticket Numbers or Officer Badge Numbers at the instruction of management. Nor does it contain any vehicle data or plate numbers which could inadvertently compromise private data.

Residential data for the 2015 fiscal year, including sales, land and building information. File includes data for single family, two family, three family and vacant land parcels. For descriptions of the data fields see the Assessing Data Description attachment.

Pothole repair requests since 1/1/2008

NOTE: Due to construction on Broadway, we have paused data collection on the Eco-Totem as of June 30, 2024. When construction is complete we will resume updating this dataset.

The “Eco-Totem” counter (made by the Montreal-based company Eco-Counter) counts cyclists via in-ground loop detectors embedded under the pavement of Broadway near Kendall Square. The device displays on a monitor how many cyclists pass by, and data is transferred in 15 minute increments daily from the device to Cambridge's Open Data Portal. Funding for this project was generously provided by the Helen & William Mazer Foundation.

This data set features all MA uniform citations issued by the Cambridge Police Department since January 2010. The data includes the date and time issued, location as well as MA General Law charge information. Citation numbers have been omitted from this dataset. The addresses provided are the raw street number and name along with a cross street, if it occured at an intersection of two streets.Please see the MASS RMV for more information on Uniform Citations and the General Court of the Commonwealth for Mass General Laws: http://www.massrmv.com/MeritRatingBoard/SurchargeableIncidents/MassachusettsUniformCitation.aspx https://malegislature.gov/Laws/GeneralLaws/Search

Note: this data includes all violations associated with an issued citation, which may result in multiple line items for a singular event.

This data set compares 1990, 2000, 2006 - 2010, and 2012-16 Journey to Work data, outlining the modes of commuting for the Labor Force of the City of Cambridge, regardless of workplace location. The data set originates from three sources: 1990 Journey to Work data supplied to the Massachusetts Central Transportation Planning Staff by the Census Bureau, a special tabulation of 2000 Decennial Census data - the 2000 Census Transportation Planning Products (CTPP), and the two most recent versions of the CTPP compiled from the American Community Survey. The Cambridge Labor Force consist of all Cambridge residents who work or who are currently seeking work, regardless of workplace location.

For more information on Journey to Work data in Cambridge, please see the report Moving Forward: 2020 - https://www.cambridgema.gov/-/media/Files/CDD/FactsandMaps/profiles/demo_moving_forward_2020.pdf

This data set compares 1990, 2000, 2006 - 2010, and 2012 - 2016 Journey to Work data, outlining the modes of commuting for the Resident Workforce in the City of Cambridge. The data set originates from three sources: 1990 Journey to Work data supplied to the Massachusetts Central Transportation Planning Staff by the Census Bureau, a special tabulation of 2000 Decennial Census data - the 2000 Census Transportation Planning Products (CTPP), and recent versions of the CTPP compiled from the American Community Survey. The Cambridge resident workforce are those people who both live and work in Cambridge. The figures reported here are based on the home locations of these workers, not their work locations.

For more information on Journey to Work data in Cambridge, please see the full 2015 report: (https://www.cambridgema.gov/~/media/Files/CDD/FactsandMaps/profiles/moving_forward_20150930.ashx?la=en).

Owners Names, Mailing Addresses and Parcel Location Addresses with GIS ID for Cambridge Fiscal Year FY2015. Owners current as of the Assessing Date 01/01/2014.

List of crashes involving motor vehicles, bicycles and/or pedestrians reported in the City of Cambridge since 2015.

Any data or text that may identify specific persons or companies has been omitted. Please see attached MassTRAC documentation for additional explanation about crash reporting data elements.

Note: crashes involving pedestrians are indicated in the “P1 Non Motorist Desc” and “P2 Mon Motorist Desc” columns. When using Socrata's built in visualization tools to map crashes, please use the geocoded "Location" column. The column "May involve cyclist" specifies whether a given incident may involve a bicycle operator.