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.

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.

This file is the output of the permanent traffic count station at the intersection of Hampshire Street at Portland Street. The station counts all bikes in the bike lanes and all vehicles leaving the intersection in each direction on Hampshire Street.

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.

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.

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.

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.

Unshoveled/Icy Sidewalk Violations Since 12/1/2007

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 dataset has been deprecated. Cambridge now maintains a single Computer Aided Dispatch open dataset that includes data from multiple years, including 2015.

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.