[notes] revealing travel patterns and city structure with taxi trip data

Network

nodes and edges

• units as noeds
• movement flows as edges
  

  using 1km x 1km cell

• detailed enough
• similar size to TAZs
  

  Network partitioining

using Infomap toolkit in R package

• The infomap Community detection
  Detailed coed
• igraph package in R
• More Community detection

Two-level hierarchical city structure

Why focusing on short trips

• find smaller zones
• short and long trips have different patterns
• majority of trips are short **1/2 trips are shorter than 4.72 km,3/4 of trips are shorter than 8.32km
• more spatially stable
  

  Gradully changing results

• Ni:constructed from Ti（Trips shorter than i km）
• gradully add kms to Trip
• N4 N5 N6 are similar
  

  Two level

• short trip and long trip: short trips has greater average edge weight ; long trips have more nodes and edges
• Level one zones（L1Z）：N5 ; L2X：Nall

Result