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Urban design & data

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Aug 3, 2013 Taipei @ Code for Tomorrow's Data Weekend. …

Aug 3, 2013 Taipei @ Code for Tomorrow's Data Weekend.
Introducing "Urban Design" and why it's related to Urban Data. How does data utilization helps designer's decision making, and why designers and data engineers/scientists should collaborate.

Published in: Design, Technology, Business

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  • 1. URBAN DESIGN & DATA Roy Lin Aug.3 2013 Code for Tomorrow
  • 2. EXAMPLE 1: DATA FOR URBAN PROJECT DESIGN MEGASTORAGE, QUEENS Project by: Zhou Wu, Roy Lin
  • 3. JUSTUFIED ISSUE INSIGHTS! Observe Data Analyse Data Colect Data DomainKnowledge Consultants,Experts,Authorities Info Overlap Future Forcast Supporting Data Client Field Study Site Visit Interview . . . . . . CONCEPT PROPOSALOPINION STATEMENT DESIGN (Subjective) (Objective) Design Process and Data. by Roy Lin, 2013
  • 4. JUSTUFIED ISSUE INSIGHTS! Observe Data Analyse Data Colect Data DomainKnowledge Consultants,Experts,Authorities Info Overlap Future Forcast Supporting Data Client Field Study Site Visit Interview . . . . . . CONCEPT PROPOSALOPINION STATEMENT DESIGN (Subjective) (Objective)
  • 5. SUBWAY PASSENGER FLOW
  • 6. INDUSTRIAL LAND
  • 7. JUSTUFIED ISSUE INSIGHTS! Observe Data Analyse Data Colect Data DomainKnowledge Consultants,Experts,Authorities Info Overlap Future Forcast Supporting Data Client Field Study Site Visit Interview . . . . . . CONCEPT PROPOSALOPINION STATEMENT DESIGN (Subjective) (Objective)
  • 8. 30.1% INDUSTRY AUTO REPAIR OFFICE COMMERCE PUBLIC FACILITY HOUSING Land Use
  • 9. REGIONAL TRAIN LINES, FREIGHT TRAINS
  • 10. SITE VISIT
  • 11. JUSTUFIED ISSUE INSIGHTS! Observe Data Analyse Data Colect Data DomainKnowledge Consultants,Experts,Authorities Info Overlap Future Forcast Supporting Data Client Field Study Site Visit Interview . . . . . . CONCEPT PROPOSALOPINION STATEMENT DESIGN (Subjective) (Objective)
  • 12. Industry-Others Bronx Queens Brook lyn JerseyCity Manhattan Housing Industry-Storage OthersPublic Com m ercial New York Region Population Queens Land Use Portions NY POPULATION DISTRIBUTION, QUEENS LANDUSE
  • 13. JUSTUFIED ISSUE INSIGHTS! Observe Data Analyse Data Colect Data DomainKnowledge Consultants,Experts,Authorities Info Overlap Future Forcast Supporting Data Client Field Study Site Visit Interview . . . . . . CONCEPT PROPOSALOPINION STATEMENT DESIGN (Subjective) (Objective)
  • 14. TRAFFIC
  • 15. Inbound Outbound TRAFFIC
  • 16. Area = 597122 m² Total warehouse space=3277280 m³ Average floor height = 5.5 Floors 1415.4696 1415.4696 Area = 283308 m² Total warehouse space=3277280 m³ Average floor height = 11.6 Floors --Inbound --Outbound --roads Area = 396979 m² Total warehouse space=3277280 m³ Average floor height = 8.3 Floors less=46620 m³ A=34475m² F=5 A=63678m² F=6 A=67524m² F=7 A=59980m² F=8 A=56238m² F=9 A=57009m² F=10 A=49411m² F=11 A=8663m² F=12 A=34475m²F=5 A=34475m²F=5 A=34475m²F=5 A=34475m²F=5 A=34475m²F=5 A=34475m²F=5 A=34475m²F=5 A=34475m²F=5 Area = 396979 m² Total warehouse space=3277280 m³ Average floor height = 8.3 Floors Area = 378749 m² Total warehouse space=3277280 m³ Average floor height = 8.6 Floors
  • 17. PASSENGER FLOW vs ATTRACTIONS
  • 18. SOCIAL HOUSING FOOTPRINT vs TIME
  • 19. FLOODING OVER YEARS
  • 20. EXAMPLE 2: READING URBAN CONTEXT TRANSIT FOR MIT KENDALLSQ. Project by: Ren Tian, Tuan-Yee Ching, Roy Lin
  • 21. TRANPORTATION TOOLS INFO MATRIX
  • 22. COMMUTER RAIL RAIL TRANSIT BUS TRANSIT MAJOR RAIL STATIONAIRPORT FERRY METRO NETWORKS
  • 23. LOCAL NETWORKS RAIL TRANSIT / 400M (5MIN)RADIUS BUS TRANSIT PROTECTED PATH BIKE LANE ZIP CAR
  • 24. EXAMPLE 3: CITY STORY TELLING THE CALIFORNIAREGION Project by: Tomas Folch, Kees Lokman, Rou Lin
  • 25. LANDSCAPE, ENERGY, INFRASTRUCTURES, MIGRATION, WAR, AGRICULTURE...
  • 26. EXAMPLE 4: PREDICT & SUGGEST SOLUTION SPACE SYNTAX
  • 27. Tim Stonor and SPACE SYNTAX
  • 28. HOT ZONES
  • 29. HOT ZONES
  • 30. EXAMPLE 5: DEMOCRATIZE URBAN KNOWLEDGE SOCIALEXPLOER
  • 31. URBAN CONTEXT TRADITIONAL URBAN DATA Public Sectors, GIS, Zoning, Land, Infrastructure, Transportation, Demographic, ...a lot of To-Be- Opened Data! Ashit load of everything Private Sectors Data, User-Gnerated Data, Instant and Dynamic Data, ...More-To-Come Big Data! NEW URBAN DATA Real Innovation! Urban Context, Data, and Innovation. by Roy Lin, 2013
  • 32. wearedata.watchdogs.com
  • 33. senseable.mit.edu
  • 34. www.honda.co.jp
  • 35. URBAN CONTEXT TRADITIONAL URBAN DATA Public Sectors, GIS, Zoning, Land, Infrastructure, Transportation, Demographic, ...a lot of To-Be- Opened Data! Ashit load of everything Private Sectors Data, User-Gnerated Data, Instant and Dynamic Data, ...More-To-Come Big Data! NEW URBAN DATA Real Innovation! Urban Context, Data, and Innovation. by Roy Lin, 2013