Husky Lines Mobile App: Adapting transportation studies to our changing technologies
-
Upload
nacisslides -
Category
Design
-
view
37 -
download
0
Transcript of Husky Lines Mobile App: Adapting transportation studies to our changing technologies
Husky Lines Mobile AppADAPTING TRANSPORTATION STUDIES TO OUR CHANGING TECHNOLOGIESElisabeth [email protected]@uw.edu
Husky Line Research Project
Green Seed Fund grant recipient
Started with the UWT Chancellor’s Advisory Committee for Sustainability
Team of 5 researchers: Dr. Britta Ricker, Dr. Jim Gawel, Alexa Brockamp, Elisabeth Leaf, Greg Lund
3
Husky Line Research Project
Researching: 1) Current and future transit options for UW Tacoma Campus 2) Student perceptions of transit and barriers to transit use 3) Ways to incorporate technology and GIS into transit studies
4
Retrieved from http://blog.nskinc.com/it-services-boston/small-business-challenges-and-mobile-solutions
Retrieved from http://charlestonup.com/strategies/transportation-mobility/
5
Underlying Problem:Transportation planners often use self-reported data via travel
surveys and travel diaries to gather information on
transportation. They use this information to create travel demand
models and estimate changes in transportation activity over time.
However, self-reported data can only measure perceptions of
transportation usage, not actual habits.6
Underlying Question:
How can we use mobile technology to improve the way we conduct
transportation studies?
7
How can we use mobile sensors to improve the way we conduct transportation studies
by estimating a user’s mode of transportation?
9
Husky Lines Mobile App
Spring Quarter: Choose target device(s) Create paper prototype Conduct literature review
Summer Quarter: Develop app Write findings
iPhone and iPad Storyboard designed in XCode Literature review found many examples
of research exploring similar use of sensors and their accuracy
The Vision:
11
1) Standard main menu2) Consent form and demographic
survey on the first start-up3) Daily transportation diary that is
pushed to the device nightly with notification via text or email
4) Record location when in study participant is in motion
5) Record accelerometer data when in motion
6) Upload all data nightly to a remote server
7) Provide the participant with a visualization of their data
Reality:
12
1) Standard main menu2) Consent form and
demographic survey on the first start-up
3) Daily transportation diary that is pushed to the device nightly with notification via text or email
4) Record location when study participant is in motion
5) Record accelerometer data when in motion
6) Upload all data nightly to a remote server
7) Provide the participant with a visualization of their data
ResearchKit Framework
ResearchKit Framework
Tested separately but not included in app
Access through Core Location Access through
Core Motion
Not possible to finish within time constraints
• Core Motion requires testing outside of the Xcode simulator
• Apple Developer License has some hurdles in set-up
Working with new technology
• Lack of documentation
• Limited examples
• Subtle differences in syntax between versions
25
Apple Developer License
Working with Swift & Objective-C
• Apple uses both Swift and Objective-C
• Syntax can be quite different and is not interchangeable
Findings: challenges in creating the app
Findings: Filters used in CMMotionActivityManager (accelerometer history) can, and should, be improved
27
Next Steps
28
● Build out the survey modules, set up notifications, and improve user interface
● Research the filters used in CMMotionActivityManager to see how they could be improved
● Set up server and automated data uploading
● With both live location and accelerometer data, limit the data collection to ‘when in motion’
● Work with “raw” accelerometer data to predict the mode of transportation
Any Questions?
Elisabeth [email protected]@uw.eduwww.linkedin.com/in/elisabethleaftwitter.com/ellieoftheworld