Richard Smith: Addressing the Problems of Addressing at British Transport PolicePresentation Transcript
Addressing the Problems of Addressing at British Transport Police Richard R. Smith, Force Information Manager, British Transport Police Bob Chell, Principal Consultant, 1Spatial Group Ltd
National Uniformed Police Force formed in 1826 (3yrs before the Metropolitan Police Service)
10,000 miles of track
3,000 railway stations and depots
National Rail network across England, Scotland and Wales
London Underground system
Docklands Light Railway
Midland Metro tram system
International services operated by Eurostar
Who are BTP?
Who are BTP?
Police the journeys of six million passengers
400,000 tonnes of freight
Over 10,000 miles of track
We believe traveling is about more than just getting there.
It’s about ensuring safety and security all the way.
UK Location Strategy Place Matters. Everything happens somewhere. If we can get a better understanding on this we can make better use of resources, improve planning and advance our management of risk. There is too much data duplication, too little reuse, too few linkages across datasets to support policy implementation. This is particularly true for the emergency services, where inaccurate data can result in lives being put at risk.
Command and Control
The Problems of Addressing A root cause of these inaccuracies is the multiple sources of event data and often conflicting address databases in use, such as NLPG, AL2 and PAF. There is an initiative (NESG) to produce a reliable, common address gazetteer for the emergency services, which will overcome many of these problems. However, there is an immediate need for individual forces to maintain their own address database or gazetteer now. This is for both incident response and to provide accurate mapping in support of intelligence generation, resource planning and many other activities.
Addressing the Problem British Transport Police (BTP) has recently embarked on a programme to automate the audit and repair of their incident database in relation to the NLPG and other address files. BTP have been able quantify the quality of data held within their Gazetteer, which is core to providing location information to any Officer responding to an Incident on the Railway. After the audit, the same technology will be used to provide ongoing validation and ensure data integrity and reliability.
The Impact on the Business
“ Right Information, Right Place, Right Time”
Assist in meeting National Targets
This target excludes Major Incidents and incidents classed as Suspicious, RTC Level Crossing, Unexplained, Sudden Deaths and Work related deaths. To conclude police activity which disrupts train movement within an average of 90 minutes from receiving a report of a fatal incident. FATALITY MANAGEMENT TARGET OBJECTIVE NATIONAL TARGETS FOR ALL AREAS
Master Data Management BTP have achieved this by generating a baseline of information based on the NLPG and NSG against their Location Gazetteer. A rule-based approach has been taken to evaluate the data and build this baseline. In effect, they have generated a master index of their Location Gazetteer. This index provides a complete and consistently assembled view of what is happening and where.
Digital National Framework
BTP indexed with against NLPG Not Matched / Matched
BTP indexed with against NLPG and NSG Not Matched / Matched
BTP Location Gazetteer Names
Where Am I?
The NLPG and NSG
Matching Process to Populate the Index DN8 4HZ POST_CODE DONCASTER POST_TOWN FIELDSIDE STREET RAILSTN TYPE THORNE NORTH RAILWAY STATION LOCATION VALUE ATTRIBUTE POST_CODE DONCASTER POST_TOWN STREET THORNE NORTH RAILSTN LOCATION VALUE ATTRIBUTE
BTP Impact Assessment The BTP Locations are first analysed to understand the quality (completeness and logical consistency) of the data. It allows us to make a baseline assessment of the information. Business rules check different address characteristics of the data, focussing on the address-related elements such as Street Name, Postcode and Post Town .
Index Population - Rules
These checks are applied to themes of BTP location types. Different groups will contain subtly different characteristics .
Grouping the data into themes also reduces the number of rules that BTP have to construct. This makes it easier to manage the rule base.