SlideShare a Scribd company logo
1 of 24
The Greater Cincinnati Area
          Large-Scale (100%) GPS-Based
             Household Travel Survey


ODOT, Greg Giamo and Rebekah Anderson
          OKI, Andrew Rohne


          Laurie Wargelin, Abt SRBI, Prime
           Peter Stopher, PlanTrans, GPS
  Kevin Tierney, Cambridge Systematics, Sampling
Sharon O’Connor, Resource Systems Group, Internet


                                                1
Introduction
Quoting from the RFP Research Objectives . .

  “This is the first large scale GPS-based survey
  conducted in the United States, and therefore,
  beyond the various logistical issues, it is
  uncertain to what extent a GPS-based survey
  is able to capture all the information available
  in a diary-based survey. “

  This presentation describes the processes
  used for the Spring 2009 GPS survey pilot,
  and discusses early findings.
                                                 2
Goals of this ODOT GPS Research
Project

  Reduce substantial respondent burden
  inherent in traditional travel diary recordings

  Reduce under-reporting of trip data

  Increase representative response rates

  Provide the detailed geographic information
  on route, speed, and location not captured by
  traditional diary methods that can influence
  the way travel is modeled

                                                    3
NEW FRONTIER: SCOPE


 Recruit 6K “households (hh);”12-15K
 members (persons).
 Deploy GPS for age 12+; diaries for under
 12.
 Outcome: Minimum 3K usable households.
 Prompted recall on 750-1,000 subsample
 for trip inference check.
 First, pilot with 400 hh to test protocols.

                                               4
NEW FRONTIER: BETTER DESIGN


    Advance Letter;    Participants
     Phone & Web       Carry Device
       Recruit;         For Three
      Fedex GPS            Days
       Devices




   Geo-code Only            Device
    Home, Work,         Collect
                         Returned Via
      School, 2         Travel
                             Fedex,
                      Profiles Via
   Frequent Shop         Priority Mail,
                      Phone, Mail,
     Addresses           WebCourier



                                          5
Survey Design – New Frontier

 Children’s travel Logs - Collect limited activities and
 travel information (to link with other household
 members’ travel). Objective is to reduce burden and
 meet child privacy concerns.

 Six-minute phone or Internet recruitment interview--
 three-day travel periods assigned.

 Short-form household and person information forms
 distributed and collected with GPS units.

 Forms collect: (1) work and school locations, (2) two most
 frequent household shopping locations, and (3) GPS usage
 status for each member, each day.

                                                         6
NEW FRONTIER: SAMPLING

 Address-based.
   captures those not in RDD frame (i.e.;
   cell-only) Now 15% to 30% of hhs
   improves geographic representativeness
   controls oversamples (i.e.; transit-
   oriented areas)
   Useful for advanced letters and Internet
   recruit
 Requires multi-process to contact
 residents.
                                            7
NEW FRONTIER: THE RECRUIT



                              Address-Based
                                 Sample



                                                     UnMatched
           Matched
                                                   Advanced Letter
         Advanced Letter
                                                    w/ 800# & Web
          w/ Web Pin
                                                         Pin



                                                              Opt-in by
 Phone Recruit    Internet Recruit      Internet Recruit     Phone from
                                                                800#




                                                                          8
NEW FRONTIER: MORE QUICK
FACTS

 Respondent profiles matched to PUMS.
 Runs full year; includes seasonal travel.
 Incentives tested in pilot.
   $0 to $10 for 2 cells within matched
   sample
   $10 to $25 for 2 cells within unmatched
   sample


                                             9
NEW FRONTIER: THE GPS DEVICE



Easy; clear buttons; pocket -
size.
Charge lasts 3 days.
Instructions sent with
800#.
Data uploads via
USB port and
special software.


                                10
NEW FRONTIER: ANALYSIS

 Managed by Australian partner, PlanTrans
 (Peter Stopher).
 GPS tells us where, when; not how, why.
 Inferences about mode, purpose,
 occupancy.
 Confirmation from recall survey.
 “Artificial Intelligence” software trained to
 apply to full sample.


                                            11
GPS Data Imputation and Verification
– PlanTrans Processing Methodology
Imputation of Trip Ends and Mode - Using a set of
rules that include movement of the GPS for 2 minutes
or more-or lack of movement, or a significant change
in speed, indicating a different mode being used.

Mode is imputed using the 85th percentile highest speed,
acceleration and deceleration, and matching to the street
networks and bus/train networks in a GIS.

Prompted Recall (PR) Verification - Return of
respondents’ travel (in Google Map form) in a web-
based format for verification. Detailed ability to
correct travel and purpose information, and add travel
cost (fare, driving and parking costs) and vehicle
occupancy for each trip.
                                                        12
NEW FRONTIER: PROMPTED
RECALL




                         13
Survey Design - GPS Data Processing
and Imputation

  PlanTrans imputes purpose using the frequency and
  duration of visits, the match to one of the collected
  addresses (home, workplace, school, frequent shops),
  and to available GIS land use data.

  PlanTrans is also developing an additional rule-based
  procedure for occupancy by family members by matching
  trips from different family members by time, location,
  and mode.

  With the aid of the prompted recall, Artificial Intelligence
  software will be trained, and these results will be applied
  to rule-based software. In this process, PlanTrans will
  attempt to add the capabilities to impute occupancy,
  driver/passenger status, and possibly parking costs and
  bus fares.
                                                            14
Processing and Verification of GPS
Data Files for Pilot
PlanTrans Processes the GPS Data Files Twice:

   First for the Prompted Recall Survey
   After the Prompted Recall Survey:

      Deletions or additions are made to fix trips
      Mode of travel is rechecked and identified for
      each trip
      Purpose of trip is rechecked and identified

   Trip File is Created

   Bi-Monthly Completed Data is Delivered to the Client
   for Rechecking
                                                       15
PILOT: IMPUTATION RESULTS


                    Generally successful; more to learn.
                    Some GPS issues:
                            Brief stops are more difficult to
                            categorize
                            Some stops misread; travel delays…. or
                            trip destinations
                            Action: Add questions to prompted recall



                                                                 16

Using GIS/GPS In Survey Research
Pilot Sample Plan Designed to Test
Response Rates and Incentives

  Equal sample for Higher Transit Access and
  Lower Transit Access geographic areas

  Equal sample for Phone Matched and Non-
  Matched Sample

  Matched Sample offered $0 or $10 incentive to
  complete

  Non-Matched Sample offered $10 or $25
  incentive to complete

                                                  17
Pilot Sample Results


100                         100
      81

80                          80
                                  Higher
                                  Transit
                Matched     60    Access
60
                UnMatched         Lower
                            40    Transit
40
           19                     Access
                            20
20
                             0
 0




                                      18
PILOT: INCENTIVE FINDINGS


$25 incentive doubled “unmatched”
completion.
  Action: Use larger incentive
Also helped with low income, zero-vehicle
households.
  Action: Target incentives



                                            19
PILOT: SAMPLING OUTCOME



Web is key for those without land phones,
and some from matched sample.
  Action: No changes




                                        20
PILOT: THE GPS DEVICES


 Tracking devices is a huge undertaking;
 Multiple reminders, couriers needed.
   Action: Revise instructions
 Loss rate high.
   Action: More GPS devices needed
 Battery outages.
   Action: Include chargers


                                           21
Pilot Summary to Date

 Address-based sampling was successful in
 recruiting un-matched households (those
 without land phone lines) to a GPS-Based
 HTS

 Internet recruiting is important for
 capturing households headed by 18-34
 year olds.

 GPS household completion rates are
 adequate and representative.


                                        22
Pilot Summary to Date - Con’t

 Requiring every household member to
 carry a GPS unit for three days was not
 considered an undue burden – paperwork
 was greatly decreased.

 Significant incentives and additional
 efforts are needed to complete unmatched
 households, low-income households, and
 zero vehicle households.

 Added trip accuracy reporting, route and
 location information, and speed data
 collected.
                                            23
CURRENT PROJECT STATUS



  Main study began in August.
  Analysis continuing.
  Major presentation at TRB in January.
  Published paper likely.




                                          24

More Related Content

Similar to Greater Cincinnati GPS Household Survey Pilot Results

Are ubiquitous technologies the future vehicle for transportation planning a...
Are ubiquitous technologies the future vehicle for transportation planning  a...Are ubiquitous technologies the future vehicle for transportation planning  a...
Are ubiquitous technologies the future vehicle for transportation planning a...ijasuc
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
 
Field Force Supremacy with FarEye
Field Force Supremacy with FarEyeField Force Supremacy with FarEye
Field Force Supremacy with FarEyeGaurav Srivastava
 
Orchestrating Collective Intelligence
Orchestrating Collective IntelligenceOrchestrating Collective Intelligence
Orchestrating Collective IntelligenceTuri, Inc.
 
Final data collection webinar highlights & reminders
Final   data collection webinar highlights  & remindersFinal   data collection webinar highlights  & reminders
Final data collection webinar highlights & remindersprogroup
 
Mobile Solutions for Field Appraisers
Mobile Solutions for Field AppraisersMobile Solutions for Field Appraisers
Mobile Solutions for Field AppraisersManish Bhatt
 
Kano GIS Day 2014 - Direct vaccine delivery at your doorstep
Kano GIS Day 2014 - Direct vaccine delivery at your doorstepKano GIS Day 2014 - Direct vaccine delivery at your doorstep
Kano GIS Day 2014 - Direct vaccine delivery at your doorstepeHealth Africa
 
Data collection for agriculture tasks.pdf
Data collection for agriculture tasks.pdfData collection for agriculture tasks.pdf
Data collection for agriculture tasks.pdfABHILASHCN1
 
A comprehensive insight towards pre-processing methodologies applied on GPS d...
A comprehensive insight towards pre-processing methodologies applied on GPS d...A comprehensive insight towards pre-processing methodologies applied on GPS d...
A comprehensive insight towards pre-processing methodologies applied on GPS d...IJECEIAES
 
Use of Technology for field data capture and compilation, and the implications
Use of Technology for field data capture and compilation, and the implications Use of Technology for field data capture and compilation, and the implications
Use of Technology for field data capture and compilation, and the implications FAO
 
OpenStreetMap Past, Present and Future
OpenStreetMap Past, Present and FutureOpenStreetMap Past, Present and Future
OpenStreetMap Past, Present and FuturePeter Batty
 
Don Talend Geospatial Rural Utility Mobile Mapping Article
Don Talend Geospatial Rural Utility Mobile Mapping ArticleDon Talend Geospatial Rural Utility Mobile Mapping Article
Don Talend Geospatial Rural Utility Mobile Mapping ArticleDon Talend
 
Portfolio_YuPoChiu
Portfolio_YuPoChiuPortfolio_YuPoChiu
Portfolio_YuPoChiuBrian Chiu
 
AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI AGRICULTURAL ...
AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI   AGRICULTURAL ...AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI   AGRICULTURAL ...
AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI AGRICULTURAL ...ExternalEvents
 
Strategies for the seamless deployment of travel diary collection systems to ...
Strategies for the seamless deployment of travel diary collection systems to ...Strategies for the seamless deployment of travel diary collection systems to ...
Strategies for the seamless deployment of travel diary collection systems to ...Adrian C. Prelipcean
 
GPS Fleet Management Buyer's Guide
GPS Fleet Management Buyer's GuideGPS Fleet Management Buyer's Guide
GPS Fleet Management Buyer's GuideNexTraq
 
Smart path mobile_sensing_for_smart_cities-kk-pratik
Smart path mobile_sensing_for_smart_cities-kk-pratikSmart path mobile_sensing_for_smart_cities-kk-pratik
Smart path mobile_sensing_for_smart_cities-kk-pratikK.K. Tripathi
 

Similar to Greater Cincinnati GPS Household Survey Pilot Results (20)

Are ubiquitous technologies the future vehicle for transportation planning a...
Are ubiquitous technologies the future vehicle for transportation planning  a...Are ubiquitous technologies the future vehicle for transportation planning  a...
Are ubiquitous technologies the future vehicle for transportation planning a...
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
 
Field Force Supremacy with FarEye
Field Force Supremacy with FarEyeField Force Supremacy with FarEye
Field Force Supremacy with FarEye
 
Orchestrating Collective Intelligence
Orchestrating Collective IntelligenceOrchestrating Collective Intelligence
Orchestrating Collective Intelligence
 
Final data collection webinar highlights & reminders
Final   data collection webinar highlights  & remindersFinal   data collection webinar highlights  & reminders
Final data collection webinar highlights & reminders
 
Mobile Solutions for Field Appraisers
Mobile Solutions for Field AppraisersMobile Solutions for Field Appraisers
Mobile Solutions for Field Appraisers
 
Kano GIS Day 2014 - Direct vaccine delivery at your doorstep
Kano GIS Day 2014 - Direct vaccine delivery at your doorstepKano GIS Day 2014 - Direct vaccine delivery at your doorstep
Kano GIS Day 2014 - Direct vaccine delivery at your doorstep
 
Data collection for agriculture tasks.pdf
Data collection for agriculture tasks.pdfData collection for agriculture tasks.pdf
Data collection for agriculture tasks.pdf
 
A comprehensive insight towards pre-processing methodologies applied on GPS d...
A comprehensive insight towards pre-processing methodologies applied on GPS d...A comprehensive insight towards pre-processing methodologies applied on GPS d...
A comprehensive insight towards pre-processing methodologies applied on GPS d...
 
Use of Technology for field data capture and compilation, and the implications
Use of Technology for field data capture and compilation, and the implications Use of Technology for field data capture and compilation, and the implications
Use of Technology for field data capture and compilation, and the implications
 
OpenStreetMap Past, Present and Future
OpenStreetMap Past, Present and FutureOpenStreetMap Past, Present and Future
OpenStreetMap Past, Present and Future
 
AIT Safety & Security Department AIT R&D
AIT Safety & Security Department AIT R&DAIT Safety & Security Department AIT R&D
AIT Safety & Security Department AIT R&D
 
Don Talend Geospatial Rural Utility Mobile Mapping Article
Don Talend Geospatial Rural Utility Mobile Mapping ArticleDon Talend Geospatial Rural Utility Mobile Mapping Article
Don Talend Geospatial Rural Utility Mobile Mapping Article
 
Portfolio_YuPoChiu
Portfolio_YuPoChiuPortfolio_YuPoChiu
Portfolio_YuPoChiu
 
ovello-sign
ovello-signovello-sign
ovello-sign
 
AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI AGRICULTURAL ...
AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI   AGRICULTURAL ...AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI   AGRICULTURAL ...
AGRICULTURAL MODULE OF POPULATION CENSUS, USE OF GPS AND CAPI AGRICULTURAL ...
 
Strategies for the seamless deployment of travel diary collection systems to ...
Strategies for the seamless deployment of travel diary collection systems to ...Strategies for the seamless deployment of travel diary collection systems to ...
Strategies for the seamless deployment of travel diary collection systems to ...
 
GPS Fleet Management Buyer's Guide
GPS Fleet Management Buyer's GuideGPS Fleet Management Buyer's Guide
GPS Fleet Management Buyer's Guide
 
Smart path mobile_sensing_for_smart_cities-kk-pratik
Smart path mobile_sensing_for_smart_cities-kk-pratikSmart path mobile_sensing_for_smart_cities-kk-pratik
Smart path mobile_sensing_for_smart_cities-kk-pratik
 

More from Andrew Rohne

On The Air Activities
On The Air ActivitiesOn The Air Activities
On The Air ActivitiesAndrew Rohne
 
Weak Signal Modes in Amateur Radio
Weak Signal Modes in Amateur RadioWeak Signal Modes in Amateur Radio
Weak Signal Modes in Amateur RadioAndrew Rohne
 
TMC Boards to PNR Counts
TMC Boards to PNR CountsTMC Boards to PNR Counts
TMC Boards to PNR CountsAndrew Rohne
 
Testing the transferability of activity based model parameters
Testing the transferability of activity based model parametersTesting the transferability of activity based model parameters
Testing the transferability of activity based model parametersAndrew Rohne
 
Transportation surveys update
Transportation surveys updateTransportation surveys update
Transportation surveys updateAndrew Rohne
 
Voyager Presentation
Voyager PresentationVoyager Presentation
Voyager PresentationAndrew Rohne
 
OKI Transit Model Presentation at Futura 2009
OKI Transit Model Presentation at Futura 2009OKI Transit Model Presentation at Futura 2009
OKI Transit Model Presentation at Futura 2009Andrew Rohne
 

More from Andrew Rohne (7)

On The Air Activities
On The Air ActivitiesOn The Air Activities
On The Air Activities
 
Weak Signal Modes in Amateur Radio
Weak Signal Modes in Amateur RadioWeak Signal Modes in Amateur Radio
Weak Signal Modes in Amateur Radio
 
TMC Boards to PNR Counts
TMC Boards to PNR CountsTMC Boards to PNR Counts
TMC Boards to PNR Counts
 
Testing the transferability of activity based model parameters
Testing the transferability of activity based model parametersTesting the transferability of activity based model parameters
Testing the transferability of activity based model parameters
 
Transportation surveys update
Transportation surveys updateTransportation surveys update
Transportation surveys update
 
Voyager Presentation
Voyager PresentationVoyager Presentation
Voyager Presentation
 
OKI Transit Model Presentation at Futura 2009
OKI Transit Model Presentation at Futura 2009OKI Transit Model Presentation at Futura 2009
OKI Transit Model Presentation at Futura 2009
 

Recently uploaded

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 

Recently uploaded (20)

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 

Greater Cincinnati GPS Household Survey Pilot Results

  • 1. The Greater Cincinnati Area Large-Scale (100%) GPS-Based Household Travel Survey ODOT, Greg Giamo and Rebekah Anderson OKI, Andrew Rohne Laurie Wargelin, Abt SRBI, Prime Peter Stopher, PlanTrans, GPS Kevin Tierney, Cambridge Systematics, Sampling Sharon O’Connor, Resource Systems Group, Internet 1
  • 2. Introduction Quoting from the RFP Research Objectives . . “This is the first large scale GPS-based survey conducted in the United States, and therefore, beyond the various logistical issues, it is uncertain to what extent a GPS-based survey is able to capture all the information available in a diary-based survey. “ This presentation describes the processes used for the Spring 2009 GPS survey pilot, and discusses early findings. 2
  • 3. Goals of this ODOT GPS Research Project Reduce substantial respondent burden inherent in traditional travel diary recordings Reduce under-reporting of trip data Increase representative response rates Provide the detailed geographic information on route, speed, and location not captured by traditional diary methods that can influence the way travel is modeled 3
  • 4. NEW FRONTIER: SCOPE Recruit 6K “households (hh);”12-15K members (persons). Deploy GPS for age 12+; diaries for under 12. Outcome: Minimum 3K usable households. Prompted recall on 750-1,000 subsample for trip inference check. First, pilot with 400 hh to test protocols. 4
  • 5. NEW FRONTIER: BETTER DESIGN Advance Letter; Participants Phone & Web Carry Device Recruit; For Three Fedex GPS Days Devices Geo-code Only Device Home, Work, Collect Returned Via School, 2 Travel Fedex, Profiles Via Frequent Shop Priority Mail, Phone, Mail, Addresses WebCourier 5
  • 6. Survey Design – New Frontier Children’s travel Logs - Collect limited activities and travel information (to link with other household members’ travel). Objective is to reduce burden and meet child privacy concerns. Six-minute phone or Internet recruitment interview-- three-day travel periods assigned. Short-form household and person information forms distributed and collected with GPS units. Forms collect: (1) work and school locations, (2) two most frequent household shopping locations, and (3) GPS usage status for each member, each day. 6
  • 7. NEW FRONTIER: SAMPLING Address-based. captures those not in RDD frame (i.e.; cell-only) Now 15% to 30% of hhs improves geographic representativeness controls oversamples (i.e.; transit- oriented areas) Useful for advanced letters and Internet recruit Requires multi-process to contact residents. 7
  • 8. NEW FRONTIER: THE RECRUIT Address-Based Sample UnMatched Matched Advanced Letter Advanced Letter w/ 800# & Web w/ Web Pin Pin Opt-in by Phone Recruit Internet Recruit Internet Recruit Phone from 800# 8
  • 9. NEW FRONTIER: MORE QUICK FACTS Respondent profiles matched to PUMS. Runs full year; includes seasonal travel. Incentives tested in pilot. $0 to $10 for 2 cells within matched sample $10 to $25 for 2 cells within unmatched sample 9
  • 10. NEW FRONTIER: THE GPS DEVICE Easy; clear buttons; pocket - size. Charge lasts 3 days. Instructions sent with 800#. Data uploads via USB port and special software. 10
  • 11. NEW FRONTIER: ANALYSIS Managed by Australian partner, PlanTrans (Peter Stopher). GPS tells us where, when; not how, why. Inferences about mode, purpose, occupancy. Confirmation from recall survey. “Artificial Intelligence” software trained to apply to full sample. 11
  • 12. GPS Data Imputation and Verification – PlanTrans Processing Methodology Imputation of Trip Ends and Mode - Using a set of rules that include movement of the GPS for 2 minutes or more-or lack of movement, or a significant change in speed, indicating a different mode being used. Mode is imputed using the 85th percentile highest speed, acceleration and deceleration, and matching to the street networks and bus/train networks in a GIS. Prompted Recall (PR) Verification - Return of respondents’ travel (in Google Map form) in a web- based format for verification. Detailed ability to correct travel and purpose information, and add travel cost (fare, driving and parking costs) and vehicle occupancy for each trip. 12
  • 14. Survey Design - GPS Data Processing and Imputation PlanTrans imputes purpose using the frequency and duration of visits, the match to one of the collected addresses (home, workplace, school, frequent shops), and to available GIS land use data. PlanTrans is also developing an additional rule-based procedure for occupancy by family members by matching trips from different family members by time, location, and mode. With the aid of the prompted recall, Artificial Intelligence software will be trained, and these results will be applied to rule-based software. In this process, PlanTrans will attempt to add the capabilities to impute occupancy, driver/passenger status, and possibly parking costs and bus fares. 14
  • 15. Processing and Verification of GPS Data Files for Pilot PlanTrans Processes the GPS Data Files Twice: First for the Prompted Recall Survey After the Prompted Recall Survey: Deletions or additions are made to fix trips Mode of travel is rechecked and identified for each trip Purpose of trip is rechecked and identified Trip File is Created Bi-Monthly Completed Data is Delivered to the Client for Rechecking 15
  • 16. PILOT: IMPUTATION RESULTS Generally successful; more to learn. Some GPS issues: Brief stops are more difficult to categorize Some stops misread; travel delays…. or trip destinations Action: Add questions to prompted recall 16 Using GIS/GPS In Survey Research
  • 17. Pilot Sample Plan Designed to Test Response Rates and Incentives Equal sample for Higher Transit Access and Lower Transit Access geographic areas Equal sample for Phone Matched and Non- Matched Sample Matched Sample offered $0 or $10 incentive to complete Non-Matched Sample offered $10 or $25 incentive to complete 17
  • 18. Pilot Sample Results 100 100 81 80 80 Higher Transit Matched 60 Access 60 UnMatched Lower 40 Transit 40 19 Access 20 20 0 0 18
  • 19. PILOT: INCENTIVE FINDINGS $25 incentive doubled “unmatched” completion. Action: Use larger incentive Also helped with low income, zero-vehicle households. Action: Target incentives 19
  • 20. PILOT: SAMPLING OUTCOME Web is key for those without land phones, and some from matched sample. Action: No changes 20
  • 21. PILOT: THE GPS DEVICES Tracking devices is a huge undertaking; Multiple reminders, couriers needed. Action: Revise instructions Loss rate high. Action: More GPS devices needed Battery outages. Action: Include chargers 21
  • 22. Pilot Summary to Date Address-based sampling was successful in recruiting un-matched households (those without land phone lines) to a GPS-Based HTS Internet recruiting is important for capturing households headed by 18-34 year olds. GPS household completion rates are adequate and representative. 22
  • 23. Pilot Summary to Date - Con’t Requiring every household member to carry a GPS unit for three days was not considered an undue burden – paperwork was greatly decreased. Significant incentives and additional efforts are needed to complete unmatched households, low-income households, and zero vehicle households. Added trip accuracy reporting, route and location information, and speed data collected. 23
  • 24. CURRENT PROJECT STATUS Main study began in August. Analysis continuing. Major presentation at TRB in January. Published paper likely. 24