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Predictive Model for Customer Related Subway Incidents

Predictive Model for Customer Related Subway Incidents. December 8, 2007 by R. Washington. Data Analysis for Patterns and Trends. Time of Day 0:00 – 5:59 6:00 – 11:59 12:00 – 17:59 18:00 – 23:59 Day of Week Sunday Monday Tuesday Wednesday Thursday Friday Saturday Type of Season

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Predictive Model for Customer Related Subway Incidents

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  1. Predictive Model for Customer Related Subway Incidents December 8, 2007 by R. Washington

  2. Data Analysis for Patterns and Trends • Time of Day • 0:00 – 5:59 • 6:00 – 11:59 • 12:00 – 17:59 • 18:00 – 23:59 • Day of Week • Sunday • Monday • Tuesday • Wednesday • Thursday • Friday • Saturday • Type of Season • Winter • Spring • Summer • Fall • Occurring Station • Occurring Borough • Manhattan • Brooklyn • Bronx • Queens

  3. Customer Related Trouble Codes 2000-2006

  4. 4016 Armed Customers 2000-2006 by Borough

  5. 4016 Armed Customers 2000-2006by Station

  6. A program of international railway benchmarking Consortium of twelve of the world’s largest metropolitan railways (metros) Berlin BVG Hong Kong MTR London Underground Ltd Metro de Madrid Mexico City STC Moscow MoM Paris Metro (RATP) Paris RER New York City Transit Shanghai SMOC Sao Paulo MSP Tokyo Metro Each of which transport more than half a billion passengers per year Community of Metros (CoMET)

  7. The four main objectives of CoMET are: To build measures to establish metro best practices To provide comparative information both for the metro board and the government To introduce a system of measures for management To prioritize areas for improvement All the group’s activities are determined by the member organizations All CoMET Benchmarking Group activities are carried out within a framework of confidentiality Any information that is released is generally anonymous No confidential information is allowed to be released to third parties without the expressed permission of the members All member metro organizations are required are required to sign and adhere to a confidentiality agreement Community of Metros (CoMET)

  8. Total Fatalities per billion passengers Suicide Accident Criminal Activities Suicide Attempts per billion passenger journey Employee lost time through staff member Incident of crime through million passenger journey Violence Theft Robberies Trespass Criminal Damage Community of Metros (CoMET)

  9. Customer Injuries/Accidents

  10. References [1] CoMET Metros, www.comet-metros.org [2] Indicators – lessons learned form CoMet and Nova metro railway benchmarking studies, www.bestransport.org/conference03/Adeney3c.PDF, 2003 [3] Patterns of suicidal behavior in a metro subway system, www.eurpub.oxfordjournals.org/cgi/reprint/14/3/291.pdf, 20-Apr-2003 [4] Ten-year incidence and time trends of railway suicides in Germany from 1991 to 2000, J.Baumert, N.Erazo and K. H. Ladwig, www.eurpub.oxfordjournals.org/cgi/content/full/16/2/173.pdf, 20-Apr-2003 [5] Hidden in Plain Sight-Sexual Harassment and Assault in the New York City Subway System,www.nytimes.com/pacakes/pdf/nyregion/city_room/20070726_hiddeninplainsight.pdf, 2007

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