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The End of Transport Behaviour Modelling


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Presentation on how social media could impact transportation behaviour modelling. Prepared for COST Action TU1305: Social Networks and Travel Behaviour. Presented 15 October 2015, Technion, Haifa.

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The End of Transport Behaviour Modelling

  1. 1. Civic Technology and Travel Behaviour Andrew  Nash     COST  Ac8on  TU  1305   Technion   October  16,  2015    
  2. 2. Whatever happened to Travel Behaviour Analysis? Andrew  Nash     TRB  Transporta8on  History  CommiFee   TRB  105th  Annual  Mee8ng   Washington,  DC   January  10,  2025    
  3. 3. Outline   •  What  was  travel  behaviour  analysis?   •  What  was  travel  behaviour  analysis  used  for?   •  What  happened  to  travel  behaviour  analysis?   •  Outlook  
  4. 4. What  was  travel  behaviour  analysis?   Travel  behaviour  was  the  study  of  what  people   do  over  space,  and  how  people  use  transport.   •  How  many  trips  do  people  make?   •  Where  do  they  go?   •  What  mode  do  they  take?   •  When  is  the  trip  made?   •  What  route  choices  do  people  make?   Source:  Wikipedia  (!!!!)  
  5. 5. What  was  travel  behaviour  analysis  used  for?   Travel  behaviour  analysis  was  used  to  help   design  and  improve  transport  infrastructure   and  services.   •  Where  to  build  a  metro  line  or  highway;   •  How  oBen  to  operate  a  bus  service;   •  How  to  aCract  more  users.  
  6. 6. What  happened  to  travel  behaviour  analysis?   Travel  behaviour  analysis  was  made  un-­‐ necessary  by  civic  technology  apps  for  …   •  ReporFng  condiFons;   •  Analysing  data;   •  Designing  services  and  infrastructure;   •  Providing  transport.   …  and  vastly  improved  compu<ng  power.  
  7. 7. Repor<ng  
  8. 8. Collec8ng  data  became  simple  and  ubiquitous   •  Social  media   •  ReporFng  applicaFons   •  Sensor  data  (automaFc,  e.g.  from  phone)   …  giving  transport  agencies  sufficient  data  to   fully  understand  real  4me  transport  condi4ons   and  make  projec4ons  without  complex  models.  
  9. 9. Chicago  Transit  Authority  –  TwiFer  Feed  
  10. 10. Zurich  Public  Transport  Authority  –  Facebook  Page  
  11. 11. SeeClickFix  page  for  San  Francisco                  hCp://    
  12. 12.  Traffic  Check                                  hCp://     User  friendly  features  needed  for  mobile  phone  repor8ng:   •  automa8c  geo  loca8on,   •  logical  informa8on  flow,     •  check  boxes  for  data  entry.    
  13. 13. Meine  Radspur,  Vienna          hCp://    
  14. 14. Sensor-­‐based  data:  Street  Bump,  Boston          hCp://  
  15. 15. Analysis  
  16. 16. •  (Smart)  city  data;   •  ApplicaFon  data  (e.g.  Waze);   •  CiFzen  data  (cheap  sensors).   …  data  and  vastly  improved  compu4ng  enabled   transport  providers  to  analyze  countless  scenarios   and  develop  precise  transport  plans  in  real  4me.   *  So  easy  anyone  could  do  it  (open  data)!   Analyzing  all  this  data  became  easy*  
  17. 17. Ci8zen  developed  applica8ons  and  visualiza8ons  from  open  data.   Stumble  Safely,  Washington  D.C.  
  18. 18. WayCount  vehicle  counter  and  soware    
  19. 19. Smart  Ci8zen  sensor  and  soware    hCp://    
  20. 20. Design  
  21. 21. •  EducaFon  –  transport  planning  is  complex;   •  BeCer  processes  –  meeFng  management;   •  Increased  engagement  –  more  is  beCer.   …  improving  the  quality  of  ideas,  increasing  the   ability  to  implement  and  test  new  ideas,  and   helping  build  community  spirit.   Collabora8on  became  more  efficient  
  22. 22. Bus  Meister  game  !  –  Fun  !  Learning  
  23. 23. Grr-­‐Grr-­‐Bike  game  !  grr-­‐grr-­‐  –  Fun  !  Learning  
  24. 24. Ring  Ride  game  !  –  Fun  !  Advocacy  
  25. 25. Shareabouts  –  geo  collabora8on          
  26. 26.  …  Facebook-­‐based  collabora8on  
  27. 27. Visualiza8on  ...  ParFcipatory  Chinatown  Boston       Using  virtual  reality  to  help  understand  city  planning.   hCp://    
  28. 28. Visualisa8on  of  street  cross  sec8ons...  streetmix     hCp://  
  29. 29. San  Francisco  Mind  Mixer  website          
  30. 30. Loomio  –  public  infrastructure  for  collabora8ve  decision  making  -­‐  please  support  their  crowd  funding  effort!  
  31. 31. Provide  
  32. 32. Providing  transport  became  open   •  InformaFon  via  social  networks  (TwiCer  real  Fme);   •  ImplementaFon  via  civic  groups  (596  Acres,  Casserole);   •  Behaviour  modificaFon  (Chromaroma,  Walk-­‐a-­‐Stop);   •  Crowd-­‐sourced  civic  works  (Spacehive,  Kickstarter);   •  Service  providers  &  sharing  (Uber,  BlahBlahCar,  Bridj).   …  reducing  the  need  for  centralized  transport  planning   and  service  provision.  
  33. 33. Informa8on  exchange  and  organisa8on  …  596  Acres  
  34. 34. Designing  passionate,  people-­‐powered  public   services     Casserole  is  an  example  of  how  understanding  ci<zens  as  producers   as  well  as  consumers  leads  to  services  that  help  communiFes  turn   the  issues  they’re  passionate  about  into  ways  to  be  more  self-­‐ sufficient  and  less  invested  in  expensive  public  services.    
  35. 35. Chromaroma  game  !  Fun  !  Influence  behaviour  
  36. 36. Walk-­‐a-­‐Stop  !  Info  +  Social  Network  !  Influence  behaviour   Human  is  an  all-­‐day  acFvity  &  calorie  tracker   that  inspires  you  to  move  30  minutes  a  day.   Ac8vity  monitor  (e.g.,  Human)   +   Public  transport  travel  planner   +   Real  8me  transport  data  (official  /  user)   +   Social  networking   =   Walk-­‐a-­‐Stop   Users  receive  push  data  when  staFons  are  crowded   suggesFng  they  walk  or  bike  one  or  two  staFons.  AcFvity  is   rewarded  (transit  Fckets),  social  networking  provides  info   about  good  routes,  interesFng  shops,  companions  to  walk   with,  and/or  system  suggests,  It’s  a  nice  day  why  not  walk?  
  37. 37. Crowdfunding  for  civic  improvements  …  Kickstarter  
  38. 38. App-­‐based  public  transport  
  39. 39. Uber   “One  of  the  most  subtle  underlying  issues  with  the  rise  of  Uber  is  the   company’s  slow  siphoning  of  the  poli8cal  will  to  fix  exisFng  –  or  build   new  –  public  transit  infrastructure  in  major  ciFes.  …  The  people  leB   riding  public  transit  become,  increasingly,  the  ones  with  liCle  or  no   poliFcal  weight  to  demand  improvements  to  the  system.”  MaC   Buchanan,  The  Awl,  hCp://  
  40. 40. The  dilemma  in  2015   How  could  these  technological  improvements  and   new  services  be  harnessed  for  the  public  good?   •  Public-­‐private  partnerships?   •  Strong  public  benefit  requirements?   •  Privacy  requirements  and  data  ownership?   •  Role  of  the  market?  
  41. 41. Whatever happened to Travel Behaviour Analysis? OK, travel behaviour analysis is probably not going away, but it’s clearly going to change significantly.  
  42. 42. Andrew  Nash  develops  engaging  public   parFcipaFon  applicaFons  and  games  designed   to  improve  city  live-­‐ability  and  transport.     •   •   •