Estimated Benefits of Crowd- Sourced Data from Social Media - - PowerPoint PPT Presentation
Estimated Benefits of Crowd- Sourced Data from Social Media ITS-Alaska Meeting September 30, 2014 Project Team and Purpose The Team Purpose Develop a synthesis of how crowdsource data from social media (i.e., content generated
― Develop a synthesis of how crowdsource data from social media (i.e., content generated through end-user applications like Waze, Facebook, Twitter) are applied at TMCs ― Determine measures of effectiveness that express the value for applying crowdsourced data
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― People who are recruited or volunteer to contribute services or content ― Example:
― Data is acquired by analyzing the behavior of individuals (opt-in) ― Reading and processing data from sensors ― Examples:
sensor data from mobile devices
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media to disseminate traveler information.
social media to generate useful information to help operations?
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TMC Operation Traditional Data Source Crowdsourced Data Opportunity and Benefit
Incident Management
response
impacts
Freeway Management
device deployment
Road Condition Reporting
and economical traveler information
condition information to inform response priorities
Road Maintenance
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The Contractor shall support the ITS program by developing a synthesis of how crowdsourced data from social media are applied at Transportation Management Centers. The Contractor shall determine measures of effectiveness that express the value for applying crowdsourced data
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ITS-Alaska Meeting 2014 Citizen Calls ITS Field Devices Third-Party Data Data from Partners Service Patrols Crowdsourced Data Traveler Information Incident Management Freeway Traffic Management Arterial Management Road Weather Management Planned Events
TMC Operations
― Leveraging 511 phone system and websites
― INRIX, HERE, BlueTOAD, WAZE, 911 CAD ― Interest in Bluetooth technology for greater accuracy and volume
― Twitter, Facebook ― Monitored by Communications staff
― Smartphone app (Utah) ― Voice phone (Wyoming) ― Integrating Waze Data (Florida) ― Primarily road and weather conditions
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ITS-Alaska Meeting 2014 25 24 24 28 18 14 7 21 21 24 18 17 24 13 13 22 15 15 16 16 24 11 21 17 12 18 13 16 2 15 15 17 7 5 5 2 6 4 2 6 6 8 2 3 5 3 3 5 3 4 4 8 2 Emergency Management Surveillance and Incident Detection Work Zone Management Special Event Management Freeway Operations/Management ATM/ICM Arterial Management Managed Lanes Road Weather Management Traveler Information Maintenance Management Manual Self-generated Shared Crowdsourced Acquired
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10 No Barriers Limited Coverage Poor Quality Too Costly Tough Integration Other Acquired Data 5 7 9 6 6 2 Shared Data 1 10 4 2 13 5 Self Generated 1 19 5 19 6 3 Manual Data 1 22 5 14 11 7 10 20 30 40 50 60 70
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15 7 22 15 9 11 8 4 11 8 4 7 3 2 6 4 1 4 1 1 Low Cost Private Sector Innovation Wider Coverage Fill in Gaps Help meet mandates (1201) Most Benefit More benefit Benefit Less benefit Least benefit
― Share experiences ― Review SWOT model ― Identify Institutional, Operational, and Technical issues ― Identify Measures of Effectiveness
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― Expand coverage areas and fill in gaps in data ― Reduced latency ― Cost-effective approach compared to traditional sensor/data collection infrastructure ― Reaches younger travelers who do not use “traditional” media/information sources
― Difficult to mine social media for real-time operations ― Agency staff may not have skills to fuse and integrate data ― Trustworthiness of citizen reporting; trust levels are still evolving with some data models and technologies ― Data Accuracy
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― Use expand social media presence and strengthen public engagement ― Bring communications staff to support operations ― Incentivizing citizens by gamification to increase participation ― Foster more collaboration between public and private sectors
― Distracted Driving/Traveling concerns ― Innovations driving marketplace; changing business models, new charging models ― Institutional and operational barriers ― Potential to damage agency reputation if not responsive due to lack of resources ― Limited shelf life for CS data from social media (Connected/Autonomous Vehicles)
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ITS-Alaska Meeting 2014 TSM&O Activity Applicability of Crowdsourced Data Criticality Citizen Reporting Third-Party Data Mined Social Media Activity (Involvement x perception) Passive - Vehicle Probe Sensors Specialized Apps 511 Website/ IVR Feedback Probes, Connected vehicles, Apps Incident/Emergency Management Highest High High Moderate Very High Low Potential Surveillance and Detection Highest High High Moderate Very High Low Potential Workzone Management High High Low Low High Low Potential Special Event Management High Low Low Low Medium Low Potential Freeway Operations High Medium Low Low High Low Potential
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― Training/Outreach ― Need a Champion/Political Support ― Funding
― ConOps/Planning Document ― Stakeholders involvement across-boundaries ― Bring PIO/Communications staff into TMC ― IT involvement ― Shift coverage–hours of operations for monitoring social media ― Marketing Plan
― Identify tools/software that make it easier to manage social media ― Create social media accounts ― Be adaptable, acknowledge evolving technology ― Ensure your systems are open and extensible
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― Integrate data from third-party sources ― Deploy specialized apps ― Get more out of social media
― New sources of data ― Greater coverage ― Improved engagement with Citizens
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