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Addressing the Problems of
Addressing
at
British Transport Police
Richard R. Smith,
Force Information Manager, British Tra...
• National Uniformed Police Force formed in
1826 (3yrs before the Metropolitan Police
Service)
• 10,000 miles of track
• 3...
Who are BTP?
- Police the journeys of six
million passengers
- 400,000 tonnes of freight
- Over 10,000 miles of track
We b...
UK Location Strategy
Place Matters. Everything happens somewhere. If we
can get a better understanding on this we can make...
Command and Control
Non-Suspicious Death
The Problems of Addressing
A root cause of these inaccuracies is the multiple
sources of event data and often conflicting ...
Addressing the Problem
British Transport Police (BTP) has recently
embarked on a programme to automate the audit and
repai...
The Impact on the Business
“Right Information, Right Place, Right Time”
• Assist in meeting National Targets
NATIONAL TARG...
Master Data Management
BTP have achieved this by generating a
baseline of information based on the NLPG
and NSG against th...
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
ATTRIBUTE VALUE
LOCATION THORNE NORTH RAILWAY STATION
TYPE RAILSTN
STREET FIELDSIDE
POST_TOWN DONCASTER
POST_CODE DN8 4HZ
...
BTP Impact Assessment
The BTP Locations are first analysed to understand
the quality (completeness and logical consistency...
Index Population - Rules
These checks are applied to themes of BTP location
types. Different groups will contain subtly di...
Populating the Index using Rules
If
NOT IN THE INDEX
or
PART OF THEME
Then perform the
necessary
conditional checks
If the...
Postcode
Street
Geo
Postcode
Geo
Street
Geo
Geo
Only
Populating the Index with Confidence
-Confidence+
Populating the Index using Workflow
Workflow
media
player
controls
Cut, copy,
delete and
re-order
tasks
BTP Content Accuracy Percentage
POSTCODE, POSTTOWN, THROUGHFARE 4%
POSTCODE, THROUGHFARE 7%
POSTCODE, POSTTOWN 4%
POSTCODE...
Summary - ALL Total Percentage
Not Matched 1166 15%
Matched 7216 94%
Total 7691
Index Overview with Confidence
BTP Content, Update
Less than 10% of the data matches the NLPG or NSG
But we have matched 60-85% of the data, with confide...
BTP Content, Append
Less than 20% of the data even contains a Street Name…
…similar characteristics for Postcode and Post ...
Advantages
• Leveraging Intelligence
• Information Re-Use
• Accuracy (fit for purpose)
• Rules-based Approach
• Data Centr...
Benefits
• Reliable Data – Saving Time, Saving Lives
• Location
• Correct Allocation of Resources
• Correct Incident Repor...
Benefits
• Reliable Data – Saving Time, Saving Lives
• Location
• Correct Allocation of Resources
• Correct Incident Repor...
Richard Smith: Addressing the Problems of Addressing at British Transport Police
Richard Smith: Addressing the Problems of Addressing at British Transport Police
Richard Smith: Addressing the Problems of Addressing at British Transport Police
Richard Smith: Addressing the Problems of Addressing at British Transport Police
Richard Smith: Addressing the Problems of Addressing at British Transport Police
Richard Smith: Addressing the Problems of Addressing at British Transport Police
Richard Smith: Addressing the Problems of Addressing at British Transport Police
Richard Smith: Addressing the Problems of Addressing at British Transport Police
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Richard Smith: Addressing the Problems of Addressing at British Transport Police

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  • Rules engines makes it easier to program allowing us to move from imperative models, to lists of production rules.
    Four generic index population rules are applied in two sessions, using NLPG then NSG.
    The checks are applied to the themes of BTP location types. This is because different groups will contain subtly different characteristics.
    Separating the rules into separate workflows keeps the rules within a narrow context, making the impact programme flow easier to manage. It also allows BTP to keep extending the index, dataset by dataset.
  • The system runs through the rules, picks the ones for which the condition is true, and then evaluates the corresponding actions, in this case populating the index.
    The interaction of the implicit rules can often be quite complex, particularly when the actions of rules impact the resulting conditions of other rules.
    Chaining rule-based tasks in different orders can lead to different results. Support for re-ordering is essential in order to systematically discover the flow that populates the index with optimal confidence.
    The addressing problem, plus many other problems, fit this production rule computational model.
  • Leveraging Intelligence
    The index enables users to understand, with confidence, that the same place can described in different ways in different data sources which means they can truly understand the nature of place.
    Information Re-Use
    The index enables the user to re-use different data. This means users can perform data level comparisons to define baseline and quantify data quality in data sources.
    Accuracy (fit for purpose)
    Use the index of information by updating and appending information from one source to enable yourself to automatically improve the content and accuracy of data sources.
    Rules-based Approach
    Managing production rules, not data models, enables the business people to use specialist knowledge. They can control and describe the rules without the expense and dependency on specialist skills or developers.
    Data Centric Intelligence
    Use the index information to define database views of the information, which you can control and administer once and deploy across the entire enterprise.
    Maintaining History
    Use changes in the index to control information archiving. This enables users to maintain historical views of information, as well as keep an auditable and versioned data source.
  • Transcript of "Richard Smith: Addressing the Problems of Addressing at British Transport Police"

    1. 1. 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
    2. 2. • 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 • Glasgow Subway • Midland Metro tram system • Croydon Tramlink • International services operated by Eurostar Who are BTP?
    3. 3. 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.
    4. 4. 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.
    5. 5. Command and Control
    6. 6. Non-Suspicious Death
    7. 7. 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.
    8. 8. 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.
    9. 9. The Impact on the Business “Right Information, Right Place, Right Time” • Assist in meeting National Targets NATIONAL TARGETS FOR ALL AREAS OBJECTIVE TARGET FATALITY MANAGEMENT To conclude police activity which disrupts train movement within an average of 90 minutes from receiving a report of a fatal incident. This target excludes Major Incidents and incidents classed as Suspicious, RTC Level Crossing, Unexplained, Sudden Deaths and Work related deaths.
    10. 10. 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.
    11. 11. Digital National Framework
    12. 12. BTP indexed with against NLPG Not Matched / Matched
    13. 13. BTP indexed with against NLPG and NSG Not Matched / Matched
    14. 14. BTP Location Gazetteer Names
    15. 15. Where Am I?
    16. 16. The NLPG and NSG
    17. 17. ATTRIBUTE VALUE LOCATION THORNE NORTH RAILWAY STATION TYPE RAILSTN STREET FIELDSIDE POST_TOWN DONCASTER POST_CODE DN8 4HZ ATTRIBUTE VALUE LOCATION THORNE NORTH RAILSTN STREET POST_TOWN DONCASTER POST_CODE   Matching Process to Populate the Index
    18. 18. 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.
    19. 19. 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. Stations (Railway, Disused, …) Tier 1 (Control Rooms, Metro, …) Tier 2 (Bridges and Crossings, …) Tier 3 (Signal Boxes, Sidings, …)
    20. 20. Populating the Index using Rules If NOT IN THE INDEX or PART OF THEME Then perform the necessary conditional checks If the checks are true then populate the index
    21. 21. Postcode Street Geo Postcode Geo Street Geo Geo Only Populating the Index with Confidence -Confidence+
    22. 22. Populating the Index using Workflow Workflow media player controls Cut, copy, delete and re-order tasks
    23. 23. BTP Content Accuracy Percentage POSTCODE, POSTTOWN, THROUGHFARE 4% POSTCODE, THROUGHFARE 7% POSTCODE, POSTTOWN 4% POSTCODE 8% POSTTOWN 8% THROUGHFARE 11% BTP Baseline Assessment
    24. 24. Summary - ALL Total Percentage Not Matched 1166 15% Matched 7216 94% Total 7691 Index Overview with Confidence
    25. 25. BTP Content, Update Less than 10% of the data matches the NLPG or NSG But we have matched 60-85% of the data, with confidence BTP NLPG
    26. 26. BTP Content, Append Less than 20% of the data even contains a Street Name… …similar characteristics for Postcode and Post Town ??? But we have matched 60-85% of the data, with confidence BTP NLPG
    27. 27. Advantages • Leveraging Intelligence • Information Re-Use • Accuracy (fit for purpose) • Rules-based Approach • Data Centric Intelligence • Maintaining History
    28. 28. Benefits • Reliable Data – Saving Time, Saving Lives • Location • Correct Allocation of Resources • Correct Incident Reporting
    29. 29. Benefits • Reliable Data – Saving Time, Saving Lives • Location • Correct Allocation of Resources • Correct Incident Reporting • Addressing the Management of Police Information (MoPI)

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