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CUPUM2017_Chibarepo

 CUPUM2017_Chibarepo

Toshikazu SETO

July 13, 2017
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  1. 2017/07/13 CUPUM2017@University  of  South  Australia 1 Evaluation  of  a  Citizen

     Feedback  and   Monitoring  System  for  Urban   Infrastructure  Issues *:  Center  for  Spatial  Information  Science, the  University  of  Tokyo **:  Chiba  City  Office   Toshikazu  Seto*,  Yoshihide  Sekimoto* Akihisa  Murakawa**  and  Ryuichi  Matsushima**  
  2. 2017/07/13 CUPUM2017@University  of  South  Australia 2 Outline • The  Background

     on  this  Study • Quantitative  Analysis  of  a  Citizen   Feedback  and  Monitoring  System • Spatial  Analysis  of  Road  Issues • Conclusions
  3. 2017/07/13 CUPUM2017@University  of  South  Australia 3 l Open  Government l

    Incident  Reporting  System n Chiba  Report n FixMyStreet n 311  Chicago Etc… Citizens  can  report  local  problems u Infrastructure  maintenance u ICT Possibility  of  Citizen  Feedback  and   Monitoring  System   l Lack  of  Experts l Expensive  Cost
  4. 2017/07/13 CUPUM2017@University  of  South  Australia 4 Chiba  Report  System  (Chiba-‐‑‒repo)

     Webpage The  feedback  comment  by  city  officer Citizen  Reports  &  Sharing  information I  found   damaged   pavement!   Please  fix  it
  5. 2017/07/13 CUPUM2017@University  of  South  Australia 5 Background  and  Purpose •

    Highlighting  the  current  situation  and   future  improvements  in  the  operation  of   Citizen  Feedback  and  Monitoring  System. Ø Platform  with  citizens  "Chiba-‐‑‒repo”   since  September  2014 Ø Basic  (quantitative)  and  Geographical   Analysis  on  Reporting  trends Ø How  it  solved  with  multiple  channelʼ’s   problem  in  city  office ?
  6. 2017/07/13 CUPUM2017@University  of  South  Australia 8 System  of  Customer  Relationship

      Management  (CRM) Web  Map   Interface Cloud  Service City  Hall Business  Processing Collaboration With  Citizen  Engagement Input Smartphone Application Reporter Citizens  Supporter Sharing  Local  Issues Demand Chibarepo-­‐DB Road  Maintenance   DB Municipal  Staff Integrated Reporting   Information Locatin+Text +Images Only  Speaking
  7. 2017/07/13 CUPUM2017@University  of  South  Australia 13 1014 1193 1295 1388

    1471 1565 2783 2886 2942 3008 3089 3184 0 200 400 600 800 1000 1200 1400 Sep.14 Oct.14 Nov.14 Dec.14 Jan.15 Feb.15 Mar.15 Apr.15 May.15 Jun.15 Jul.15 Aug.15 The  Transition  of  Registered  Citizenʼ’s  Reporter by  App  &  Web   77.2 22.8 Male Female 1.1 9.1 21.7 31.6 24 10 2.5 under&20 20s 30s 40s 50s 60s over&70 self  repaired   supporter  system   was  started
  8. 2017/07/13 CUPUM2017@University  of  South  Australia 14 1473 2963 4000 5078

    6026 6996 8403 9657 11116 12670 14284 15700 0 200 400 600 800 1000 1200 1400 1600 1800 Sep.14 Oct.14 Nov.14 Dec.14 Jan.15 Feb.15 Mar.15 Apr.15 May.15 Jun.15 Jul.15 Aug.15 AppB&BWeb E.mail TelB&BContact Patrol total Transition  of  Reporting  Channel Location+Text+Images Text  information
  9. 2017/07/13 CUPUM2017@University  of  South  Australia 15 0% 10% 20% 30%

    40% 50% 60% 70% 80% 90% 100% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 (hour) App4&4Web E:mail Tel4&4Contact Patrol Hourly  Distribution  of  Reports  of Chiba-­‐repo  System
  10. 2017/07/13 CUPUM2017@University  of  South  Australia 16 month reports Ave.-repair-days Sep314

    911 84.96 Oct314 1,423 61.73 Nov314 997 29.60 Dec314 1,032 12.17 Jan315 940 5.91 Feb315 937 6.72 Mar315 6,610 8.52 Apr315 1,190 6.35 May315 1,331 7.91 Jun315 1,431 5.94 Jul315 1,520 4.51 Aug315 1,382 2.28 0 50 100 150 200 250 300 350 1&Sep&14 16&Sep& 1&Oct&14 16&Oct&1 31&Oct&1 15&Nov& 30&Nov& 15&Dec& 30&Dec& 14&Jan&1 29&Jan&1 13&Feb& 28&Feb& 15&Mar& 30&Mar& 14&Apr&1 29&Apr&1 14&May& 29&May& 13&Jun&1 28&Jun&1 13&Jul&15 28&Jul&15 Web/Apps. e&mail tel/fax Number  of  Reports   and  Average   of  Repair  Days
  11. 2017/07/13 CUPUM2017@University  of  South  Australia 23 $   

            #$ 3 3 24 13 43 ! 76 3 155 48 282 $ 52 11 366 286 715 $ 940 195 4,954 2,503 8,592   342 121 2,950 890 4,303 "  49 9 159 207 424 # 256 32 545 299 1,132   28 7 123 51 209   1,746 381 9,276 4,297 15,700 Comparison  of  the  Average  Number   of  Road  Type  of  Issues
  12. 2017/07/13 CUPUM2017@University  of  South  Australia 24 Top  10  Road  Issues

     Report   and  Repair  Periods Incident(type Count Avg.(Repair(days Road(surface 1,527 16.4 Drainage 1,508 14.1 Abandoned(bike 628 31.9 Safety(infrastructure 528 16.4 Plants 435 23.9 Trash(/litter 375 9.4 Light(repair 198 28.6 Road(construction 111 19.6 Bridge 61 19.9 Occupation 50 12.3
  13. 2017/07/13 CUPUM2017@University  of  South  Australia 26 Discussion  and  Conclusions –

    Chiba-‐‑‒repo  represents  a  multi-‐‑‒channel  way   to  integrate  digitized  material,  and  aims  to   establish  a  workflow  system  of  repair   response  time  will  be  further  reduced. – it  may  be  useful  for  "standardizing"  the   maintenance  and  management  of   infrastructure  in  local  governments • Participant  generation  and  gender  bias  can   not  be  solved  easily,  but  there  is  a   possibility  that  it  can  be  covered  by   implementing  "events”. • The  benefit  of  information  sharing  and   citizen  cooperation  that  cannot  be  handled   by  administrative  services.
  14. 2017/07/13 CUPUM2017@University  of  South  Australia 27 Discussion  and  Conclusions –

    Possibility  of  monitoring  the  spots  and   problems  of  the  city  that  can  not  be  found   in  ordinary  administrative  patrols.   – Expand  the  Chiba-‐‑‒repo  participantsʼ’  layer   and  to  work  with  other  departments  in  the   municipality,  as  well  as  existing  community   organizations,  with  respect  to  minor  repairs nFuture  work  to…   • Analyze  the  contents  of  the  issue  through  text   mining.  The  issue  classification will   consideration. • Be  simplify  and  automatic  problem-‐‑‒solving   process by  city  officer  using  reporting  data.
  15. 2017/07/13 CUPUM2017@University  of  South  Australia 28 Acknowledgements This  research  was

     supported  by   • JSPS  KAKENHI  (grant  numbers   25244042,  15K03008,  and  16K14352)   • Research  and  Development  on   Fundamental  and  Utilization   Technologies  for  Social  “Big  Data”  by   the  National  Institute  of  Information   and  Communications  Technology   (NICT)  in  Japan.
  16. 2017/07/13 CUPUM2017@University  of  South  Australia 29 Thank  you  for  your

     attention  ! Please  let  me  know  your  city’s  situation @tosseto [email protected]­‐tokyo.ac.jp http://researchmap.jp/tosseto
  17. 2017/07/13 CUPUM2017@University  of  South  Australia 31 Comparison  of  Japanese  Local

      Governmentsʼ’  Citizen  Reporting  Systems 2017.01  survey