Showing posts with label SMSM. Show all posts
Showing posts with label SMSM. Show all posts

Thursday, 24 November 2016

Alternative map of KSIs involving Heavy Goods Vehicles

In my previous post I presented a map created using Google Fusion Tables. This post shows an alternative map produced using the same data fed in to Google Maps. Due to limits on the file size, the collisions resulting in minor injuries have been omitted.

Vulnerable road users killed or seriously injured in collisions involving HGVS for the years 2005-2015




For a larger version of the map, click here.

'Vulnerable Road Users' refers to pedestrians, cyclists, motorcyclists, horse riders & mobility scooter riders. Due to the number of dangerous goods vehicles classed as 'Other', that category has been included and the maps will also include some collisions involving different vehicles in the 'Other' category.


STATS19 mapping implementation notes


These maps are based on the data from 2005-2015 inclusive (11 years of data), which has been edited down to make the file sizes more manageable. If you want the full details on specific a specific incident or want to search by area I recommend using www.cyclestreets.net/collisions/.

The data for "Journey_Purpose_of_Driver", "Vehicle_Type", "Make" and "Model" refers to the other vehicle involved where that has been possible to match*. For pedestrians, the data records which vehicle (first) hit them. For other road users we inferred a collision where there was just one other vehicle involved. When there were more vehicles it was not possible to infer which vehicles collided with which.

*Bicycles, horses and mobility scooters are all counted as vehicles.

For a few of the entries we have found errors in the data, such as missing location data which may means they have not been mapped. Examples of this are accident references 2005600GN6024 and 200504BB05106.

Care has been taken to avoid errors or emissions while creating these maps, however if you spot an issue please let us know.

Wednesday, 23 November 2016

Mapping KSIs involving Lorries

Lorries and other large vehicles are a serious danger to vulnerable road users.

Using the STATS19 data I've produced maps showing collisions involving these vehicles where pedestrians, cyclists, motorcyclists, horse riders or mobility scooter riders were killed or injured. Due to the number of dangerous goods vehicles classed as 'Other' (details here) the maps will also include some collisions involving different vehicles in the 'Other' category.

Deaths & Injuries involving HGVs, 2005-2015




Key: 
Fatality = Symbol
Serious Injuries = Yellow dot
Minor Injuries = Blue dot

This is a map I produced showing where vulnerable road users have been killed or injured 2005-2015. Click here for full size version, produced using Google Fusion tables.

Other mapping:


In addition to this, I have tried presenting the data using Google 'Maps' rather than 'Fusion Tables'. This has several advantages however it limits each layer to 2000 data points, which poses challenges when dealing with data for the whole of the UK (except Norther Ireland). Due to this limitation it is necessary to filter the data down, reducing the years, casualty types or casualty severities shown.

Click here for a map showing where pedestrians, cyclists and motorcyclists have been killed or injured in collisions involving Heavy Goods Vehicles for the years 2012-2015. This is a subset of the data shown in the map above.

STATS19 mapping implementation notes


These maps are based on the data from 2005-2015 inclusive (11 years of data), which has been edited down to make the file sizes more manageable. If you want the full details on specific a specific incident or want to search by area I recommend using www.cyclestreets.net/collisions/.

The data for "Journey_Purpose_of_Driver", "Vehicle_Type", "Make" and "Model" refers to the other vehicle involved where that has been possible to match*. For pedestrians, the data records which vehicle (first) hit them. For other road users we inferred a collision where there was just one other vehicle involved. When there were more vehicles it was not possible to infer which vehicles collided with which.

*Bicycles, horses and mobility scooters are all counted as vehicles. 

For a few of the entries we have found errors in the data, such as missing location data which may means they have not been mapped. Examples of this are accident references 2005600GN6024 and 200504BB05106.

Care has been taken to avoid errors or emissions while creating these maps, however if you spot an issue please let us know.




Sunday, 3 July 2016

See Me Save Me - Eliminating Lorry Danger

See Me Save Me is a campaign to eliminate deaths and injuries caused by collisions involving HGVs, with a focus on the most vulnerable road users (pedestrians, cyclists and motorcyclists).

See Me Save Me work to prevent the blaming of victims (for not wearing hats, jumping lights, not having insurance etc etc) and focus on the danger of the vehicles.

  • They have been involved in the development of safer lorry standards with industry and regulators, in particular CLOCS. 
  • They are also members of the ‘Action on Lorry Danger’ working group which includes CyclingUK, LCC and Living Streets. 

See Me Save Me was started in 2009 by Kate Cairns following the death of her sister Eilidh.

CLOCS

The Construction Logistics and Cyclist Safety report was released in February 2013 and is the basis for the CLOCS programme. The CLOCS standards include a range of measures to reduce risk:

  • Requirements for safer vehicles to maximise vision
  • Driver checks and training
  • Fleet management and route planning
  • Proper investigation and reporting of collisions

In London, adoption of CLOCS is now a requirement in many public sector contracts for clients including Crossrail, TfL and the Greater London Assembly. However widespread adoption by the public and private sector across the UK is needed to prevent the pedestrians, cyclists and motorcyclists being killed or injured by collisions with HGV.

See Me Save Me's campaign

See Me Save Me are raising awareness of lorry danger and campaigning for the adoption of preventative measures and standards such as CLOCS across the UK:

  • Build relationships with industry and public bodies across the UK, especially in major cities such as Birmingham, Manchester, Bristol, Cambridge, Newcastle, Leeds, Edinburgh, Glasgow, Cardiff and Belfast.
  • Collaborate with pedestrian, cyclist and residents groups to campaign for a reduction in lorry danger.
  • Keep a record of those killed or seriously injured by HGVs to show the scale of the problem.

Lorry danger has consistently been identified by our supporters as a major concern and one of the top priorities for campaigning. In 2016 we will be working with See Me Save Me to help launch their campaign to have CLOCS standards adopted widely and for safer lorries across the UK.

Please join their campaign by signing up for email updates here: http://www.seemesaveme.org/