atom06:Analysis

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(Map users activities)
(Map users activities)
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[https://docs.google.com/spreadsheet/ccc?key=0Ar5AYZD5l2EfdE9nM01FVjZTc3BQMncwaTRmUkpScEE&hl=en_US#gid=0 user groups and their activities and needs - table]
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[https://docs.google.com/spreadsheet/ccc?key=0Ar5AYZD5l2EfdE9nM01FVjZTc3BQMncwaTRmUkpScEE&hl=en_US#gid=0 editable user groups and their activities and needs - table]
  
 
==='''Map attractors'''===
 
==='''Map attractors'''===

Revision as of 13:20, 5 October 2011

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After an initial observation of the site, we carried out some analysis to understand the dynamics of our project's site. We used a double cognitive approach, conducting two main types of analysis: objective and subjective.

Objective Analyses

the idea of mapping the current direct actors in the area is that we can decide on the importance of possible activities in the area at different times

figures are based on the most current statistical figures from the city of Delft regarding education and residents

Subjective Analyses

Green Spaces and Roads Configurations

We analyzed some possible configurations of expansion of green spaces in relation to roads.



Map users activities

  1. Map the users
  2. Map their current & possible activities
  3. Identify
  4. How to connect users
  5. Find matching activities
  6. Match the users by their activities / mix functions
  7. Connecting activities form the interaction and program
  8. The program (list of activities) is organised / mapped

Questions

  1. How does it change by the effect of users?
  2. How to map the users? Diagrammatically, with sensors etc.

Possible usergroups

  1. Students
  2. Residents
  3. Science center (workers, visitors, ...)
  4. Architecture department (tutors, personnel)
  5. Botanical garden
  6. Duwo

editable user groups and their activities and needs - table

Map attractors

mapping the busy areas in Delft during the daytime throughout the week and the weekend shows us where there are good connection points for the possible metastasis objects to attract attention and real time connect to our center platform




Conclusions

The analysis reveals that our site is an in-between space among two system that don't cooperate and interact: City system - Tu system. Our desire is that these two systems get more integrated and start to actively communicate and interact. We and some of the residents we interviewed feel this is needed to make the city unified again.





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