This dataset contains street works that are happening in the London Borough of Camden. Attribution includes the organisation that is carrying out the work, the proposed start and end dates of the work and the street on which the works are taking place.

The location of the works is represented as point, however the actual extent of the works may be an area or line on the stated road.

Cycling in Camden is becoming ever more popular with the introduction of safe, convenient and protected routes. There are several cycle counters in Camden which provide counts of cyclists a long these routes.

This dataset contains road collisions in Camden dating back to 2005. Data is provided by TfL (Transport for London) on an annual basis in three parts – this is the casualties part, attendants and vehicles are available on the open data platform as separate datasets and they can all be joined together using the Reference column. If joined, where multiple attendants/casualties/vehicles exists for one Accident Reference there will be multiple records for the same accident. To avoid anomalies it is suggested any data analysis undertaken should use three years of data.

This dataset contains road collisions in Camden dating back to 2005. Data is provided by TfL (Transport for London) on an annual basis in three parts – this is the casualties part, attendants and vehicles are available on the open data platform as separate datasets and they can all be joined together using the Reference column. If joined, where multiple attendants/casualties/vehicles exists for one Accident Reference there will be multiple records for the same accident. To avoid anomalies it is suggested any data analysis undertaken should use three years of data.

Cycling in Camden is becoming ever more popular with the introduction of safe, convenient and protected routes. There are several cycle counters in Camden which provide counts of cyclists a long these routes.

This dataset contains the location of parking spaces in Camden as well as if they're currently suspended or will be in the future.

Cycling in Camden is becoming ever more popular with the introduction of safe, convenient and protected routes. There are several cycle counters in Camden which provide counts of cyclists a long these routes.

This dataset contains the parking bays location in the London Borough of Camden. A parking bay consists of a number of parking spaces, therefore individual parking spaces cannot be identified in this dataset, however the attribution includes the approximate length of the parking bay in metres, and the approximate number of spaces in the parking bay. Other attribution includes restriction type, times of operation, maximum stay, tariff, road name and CPZ (Controlled Parking Zone). The Easting and Northing (and Longitude and Latitude) attributes are automatically calculated based on an arbitrary node along the polyline geometry of the parking bay; the WKT (Well Known Text) attributes can be used to redraw the full extent of each parking bay using a GIS (Geographic Information System).

Cycling in Camden is becoming ever more popular with the introduction of safe, convenient and protected routes. We currently have two cycle counters which provide accurate and up to date counts of cyclists travelling in both directions on selected routes in Camden.

This dataset contains transactional penalty charge notice data held in the London Borough of Camden's parking management system; inclusive of penalty charge notices issued by Civil Enforcement Officers on street and those issued by Civil Enforcement Officers via CCTV. Attribution includes contravention code, ticket type, street, parking restriction, vehicle category and status of case.

Where possible, the approximate location of the PCN has been captured. The 'Spatial Accuracy' column can be used to determine what level of location has been captured:

Civil Enforcement Officer GPS Location = the GPS location reported by the CEO's handheld device
Fixed CCTV Camera = the location of the CCTV camera, this could be many metres from the vehicle in contravention
Unknown = No location has been captured