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Husky Lines Mobile App
ADAPTING TRANSPORTATION STUDIES TO OUR
CHANGING TECHNOLOGIES
Elisabeth Leaf
elisabethleaf@gmail.com
leafe@uw.edu
Masters of Science
Geospatial Technologies
2
University of
Washington
Tacoma Campus
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 technology
to improve the way we conduct
transportation studies?
8
sensors
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 menu
2) 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 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 menu
2) 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
Mobile App
Main Menu
13
14
Consent
Form PDF
15
Mobile App
Main Menu
16
Survey
17
Survey
18
Accelerometer History
19
Record Accelerometer
Record Location
20
Accelerometer
Get Accelerometer History
21
Record Accelerometer Live
22
Record Location
23
What are the challenges to building a
mobile application for research?
24
• 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: ResearchKit has many possibilities
26
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 Leaf
elisabethleaf@gmail.com
leafe@uw.edu
www.linkedin.com/in/elisabethleaf
twitter.com/ellieoftheworld

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Husky Lines Mobile App: Adapting transportation studies to our changing technologies

  • 1. Husky Lines Mobile App ADAPTING TRANSPORTATION STUDIES TO OUR CHANGING TECHNOLOGIES Elisabeth Leaf elisabethleaf@gmail.com leafe@uw.edu
  • 2. Masters of Science Geospatial Technologies 2 University of Washington Tacoma Campus
  • 3. 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
  • 4. 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
  • 6. 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
  • 7. Underlying Question: How can we use mobile technology to improve the way we conduct transportation studies? 7
  • 8. How can we use mobile technology to improve the way we conduct transportation studies? 8 sensors
  • 9. How can we use mobile sensors to improve the way we conduct transportation studies by estimating a user’s mode of transportation? 9
  • 10. 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
  • 11. The Vision: 11 1) Standard main menu 2) 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 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
  • 12. Reality: 12 1) Standard main menu 2) 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
  • 14. 14
  • 24. What are the challenges to building a mobile application for research? 24
  • 25. • 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
  • 26. Findings: ResearchKit has many possibilities 26
  • 27. Findings: Filters used in CMMotionActivityManager (accelerometer history) can, and should, be improved 27
  • 28. 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

Editor's Notes

  1. Introduction
  2. Brief intro to UWT and MSGT Program
  3. This research was funded through a grant from the University of Washington’s Green Seed Fund-- a grant that funds sustainability related research, and research that furthers campus sustainability goals. The University has a tri-campus climate action plan, one facet of which is a carbon reduction goal. Specifically, it calls for the university as a whole to go completely carbon neutral by 2020. Transit is a well-acknowledged issue in our area, with our student body spread out across more than five counties, and the public transportation available to get students being fragmented, and minimal.
  4. The Husky Lines idea was to create a program that would cater to the specific needs of UWT students to access their university campus quickly, eliminating the extra travel time that bus travel imposes on students due to transfers.
  5. This project started as an exploration in how mobile technology can help with transit and transportation issues. I specifically looked at sensors in mobile devices in their enhance transportation survey techniques and to contribute to transit somehow mobile tech + transportation issues
  6. The solution was to build a mobile app to do these things: Standard main menu 2) Consent form and demographic survey on the first start-up Daily transportation diary that is pushed to the device nightly with notification via text or email Record location when in study participant is in motion, 4) Record accelerometer data when in motion Upload all data nightly to a remote server Provide the participant with a visualization of their data
  7. Consent form With the consent form you can provide info about your research… Then the participant agrees, signs. At any point they can decline.
  8. Consent form This is the PDF form that is stored after it is made. The code for things like storing the PDF are not built in to the framework but are not difficult to pull together.
  9. Next, the survey components of the app were also created from ResearchKit.
  10. Surveys: The format of the survey questions is customizable. There are multiple choice questions, time, date, fill-in-the-blank, etc.
  11. For those who aren’t familiar with the accelerometer on a device, it is the sensor that detects movement. Accel data has 3 outputs: x, y and z. Like in the picture, when movement is detected in any of the 3 axes, the accelerometer moves from 0 to 1 or -1 or so on. We can use it for detecting mode of transportation because each mode has movement patterns associated with it that we can gauge from the data collected.