Difference between revisions of "Main Page/Research/MSB/Overall Strategy"

Latest revision as of 19:37, 26 January 2009

Based on discussion with Miles, 2008-09-23

1. Define and explicate a new data-driven construct for conceptualizing movement in urban environments.
   1. Three typologies of movement:
      1. Dwell

         XY-aggregated locations at which a substantial amount of "non-moving" time is spent; may include short, punctuated bouts of "moving" points

      2. Trip

         linear collections of "moving" points, may contain short, punctuated bouts of "non-moving" points

      3. Stop

         XY-aggregated locations of "non-moving" points within trips

   How have others attempted to define & measure this or a similar typology?

   What does this new paradigm have to offer?

   What data set would be necessary to investigate the use of this paradigm?

   What hypotheses could be tested using this construct?

2. Explicate methodology for obtaining & processing data set
3. Hypotehsis testing for hypotheses made in step 1
4. 4D data frame
   1. XY (Cartesian)
   2. Z (elevation)
   3. time
   4. attribute(s) of points

   Display a cloud of XYZt data with unique value classification of an attribute

   "Collapse" one of the dimensions by viewing data cube endwise

   Look for patterns across subjects, dwell, or trip types.