Workshop B4. The Collection and Processing
of Survey Data Using Mobile Technologies Workshop B4. The Collection and Processing
of Survey Data Using Mobile Technologies
Workshop Participants
Workshop Chair: Jean Wolf, United StatesResource Paper Author: Peter Stopher, AustraliaDiscussant: Barbara Noble, United KingdomRapporteur: Sean Doherty, Canada
Contributing AuthorsStephan Krygsman, South AfricaMaat Kees,The NetherlandsNadine Schüssler, Switzerland
Other ParticipantsTracy 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 Thipphaphone Khenmingmongkhon
Philippe Marchal Yuan ShuningSusan Swain
Eric Cornelis Nick Lanyon Michael Meschik Liva Vagane
Notes:
• Sizable group (n=28)
• High attendance and participation rates
• No incentives offered
Workshop Scope
Really did focus on data collection and processing using 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-based studies 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, but
burden 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, Deployment method analyses with respect to study purpose, cost, response ratesresponse rates
Continued research on mobile phone ‘tower location’ traces for Continued research on mobile phone ‘tower location’ traces for travel surveystravel surveys
Feasibility study for deployment of custom software for Feasibility study for deployment of custom software for population-based mobile phone user sample population-based mobile phone user sample
Possible joint venture research – government, private, university Possible joint venture research – government, private, university (e.g., health or tourism research)(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 perhaps algorithm Standard data, standard processing software, or perhaps algorithm modulesmodules
Commercial or free processing software (are we ready?)Commercial or free processing software (are we ready?) Comparative analysis of accuracy of mode and purpose identificationComparative analysis of accuracy of mode and purpose identification Development of travel companion (who) / party size estimators (and Development of travel companion (who) / party size estimators (and
is this really needed?)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) tradeoff analysis Overall methodology (GPS/CATI, GPS/PR, GPS only) tradeoff analysis
(burden, quality, bias, cost). Same for mobile phones.(burden, quality, bias, cost). Same for mobile phones. Pushing the modelling paradigms (e.g., number of travel days, Pushing the modelling paradigms (e.g., number of travel days,
number of persons per household, data elements, travel time number of persons per household, data elements, travel time measurements) measurements)