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.

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.

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.

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.

A demonstration map of open data crashes involving motor vehicles, bicycles and/or pedestrians reported in the City of Cambridge from January 2015 through December 2016.

PLEASE NOTE: Geocoding imperfections in this dataset could result in illusory crash "hotspots" appearing on the map. This map is simply meant to be a demonstration of how the open data portal can be used to visualize geospatial trends.

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.

This point layer is are all of the Cobrahead street lights which will be replaced throughout the summer of 2014. There are other types of lights in the City which are not included in this GIS layer. Decorative street lights which will be replaced in 2015, and lights owned by others (DCR, Universities, & private) have not been verified for accuracy yet and will be included in a future update of this layer.

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.

The Computer Aided Dispatch (CAD) Entries data set reflects information approved for general release by the Cambridge Police Department and the Cambridge Fire Department. All entries are inputted by dispatchers in the Emergency Communications Center (ECC). This data set does not reflect all events received by the ECC. Certain entries are not included due to concerns related to privacy, criminal investigation, or protected data. Additionally, not all entries reflect a dispatched response and some data may reflect a duplicate entry for a specific incident. This dataset does not include any first responder calls related to emergency medical services (EMS), and does not contain all police or fire entries.

The Traffic, Parking &Transportation department has conducted over 600 speed studies since 1987. Some locations have been studied more than once. The speed of each passing vehicle is recorded by radar for an hour each in the morning rush hour, evening rush hour, and midday. From these results, we find the 85th percentile speed for each one-hour period. The 85th percentile speed describes a speed that 85% of drivers are traveling slower than (and 15% of people are driving faster than). Traffic engineers use 85th percentile speed for most traffic safety analyses and design standards. In this dataset, the speed reported is the highest 85th percentile speed for all three one-hour periods studied.

List of crashes involving motor vehicles, bicycles and/or pedestrians reported in the City of Cambridge from January 2010 through June 2016. Please refer to the dataset "Police Department Crash Data - Updated" for more recent and comprehensive crash data. Please Note: addresses are approximate. Rows for years 2010-2013 were geocoded as part of the MIT Public Safety Data Challenge. Any Latitude/Longitude with a value of 0 indicates that the location was not found though their geocoding efforts. Please see attachment for more details.