Workshop B4. The Collection and Processingof Survey Data Using Mobile Technologies
Workshop B4. The Collection and Processingof Survey Data Using Mobile Technologies
Workshop Participants
Workshop Chair: Jean Wolf, United StatesResource Paper Author: Peter Stopher, AustraliaDiscussant: Barbara Noble, United Kingdom
Rapporteur: Sean Doherty, Canada
Contributing Authors
Stephan Krygsman, South Africa
Maat Kees,The Netherlands
Nadine Schüssler, Switzerland
Other Participants
Tracy Anderson
Robert Follmer
Roger Mackett
Juan de Dios Ortuzar
Patrick Bonnel
Martin Kagerbauer
Steve MacFeely
Matthew Roorda
Andrew Clarke
Nina Karasmaa
Fabrice Marchal
Daniel Sauter
Kelly Clifton
ThipphaphoneKhenmingmongkhon
Philippe Marchal
Yuan Shuning
Susan Swain
Eric Cornelis
Nick Lanyon
Michael Meschik
Liva Vagane
Notes:
• Sizable group (n=28)
• High attendance andparticipation rates
• No incentives offered
Workshop Scope
Really did focus on data collection and processingusing mobile technologies
Tried to stay away from non-response
Limited discussion on broader study design
State of the Art - Devices & Data Collection
Device evolution is heading to wearables, but vehicle-basedstudies may still have a role
Most studies include GPS and diary, but trend towards GPS only
Interview and delivery deployment methods vary
Viable alternatives to GPS are being evaluated
•Mobile/cell phone options (now) Also used for CAPI
•Bluetooth / WiFi / RFID / smartcard / RDS (in research)
Alternatives have different levels of detail, precision, cost,coverage
Mixed modes (tech and non-tech) could be used
Select methods and solution(s) based on purpose / need
Various algorithms developed to identify key diary elements
•stops, trips – OD / route / distance / start time / duration
•travel mode
•trip purpose
Use of GIS datasets important (road network, transit network,points of interest, land use, etc.)
Still largely in exploratory phase
•Some implementing rule based, others using fuzzy logic
Little validation and little ‘ground truth’ to do it
Prompted recall interfaces developed and implemented, butburden is an issue
Mobile/cell phone research showing promise
State of the Art – Data Processing
Deploying/retaining devices
On/off switch desirable ?
Logging rules (e.g., frequency, speed screen)
Missing data / messy data
Age cut off for deployment (practicality and ethics)
Reducing bias
Encryption/security
Ethics
Avoiding lawsuits
Retaining/archiving raw data
Cost of cell-based location for large samples
Practicality of large scale location-enabled mobile phones(commercial considerations)
How best to recruit and communicate with subjects
Issues - Devices and Data Collection
Lack of available software – commercial, share/free ware
Are we ready to standardize?
•Data Collection (NMEA parsing)
•Data Storage (XML desirable)
•Algorithms
Calibration/validation data essential, but challenging to acquire
•Prompted recall offers some potential
•Direct observation may be needed
Assessing respondent burden from prompted recall
Different methods used, e.g., fuzzy logic, AI, rule-based,…
Issues - Data Processing
Research Needs – Data Collection
Continued improvements in mobile technology devicesContinued improvements in mobile technology devices
•Functionality, cost, power capacity, storage capacity, etc.•Functionality, cost, power capacity, storage capacity, etc.
Deployment method analyses with respect to study purpose,cost, response ratesDeployment method analyses with respect to study purpose,cost, response rates
Continued research on mobile phone ‘tower location’ traces fortravel surveys Continued research on mobile phone ‘tower location’ traces fortravel surveys
Feasibility study for deployment of custom software forpopulation-based mobile phone user sample Feasibility study for deployment of custom software forpopulation-based mobile phone user sample
Possible joint venture research – government, private, university(e.g., health or tourism research)Possible joint venture research – government, private, university(e.g., health or tourism research)
How young should or could participants be?How young should or could participants be?
Impact of Galileo on accuracy and coverage? Impact of Galileo on accuracy and coverage?
Research Needs – Data Processing
Standard data, standard processing software, or perhapsalgorithm modulesStandard data, standard processing software, or perhapsalgorithm modules
Commercial or free processing software (are we ready?)Commercial or free processing software (are we ready?)
Comparative analysis of accuracy of mode and purposeidentificationComparative analysis of accuracy of mode and purposeidentification
Development of travel companion (who) / party size estimators(and is this really needed?)Development of travel companion (who) / party size estimators(and is this really needed?)
Development of validation datasetsDevelopment of validation datasets
Development of algorithms / software independent of GISDevelopment of algorithms / software independent of GIS
Overall methodology (GPS/CATI, GPS/PR, GPS only) tradeoffanalysis (burden, quality, bias, cost). Same for mobile phones.Overall methodology (GPS/CATI, GPS/PR, GPS only) tradeoffanalysis (burden, quality, bias, cost). Same for mobile phones.
Pushing the modelling paradigms (e.g., number of travel days,number of persons per household, data elements, travel timemeasurements)Pushing the modelling paradigms (e.g., number of travel days,number of persons per household, data elements, travel timemeasurements)
