Data summary

Population distrubution

new useful data

Large contour model

News update

After consulation with Ann Quinlan, the project was clear that the main priority should be the age of 20. This is because there is a large number of people who are aged in their 20s and to relate to teh site, hospitals are suppose to be a service for the people. From the data range, persons in the age of 25 to 35 are in mental stages that are irreversible. For example, person within the range tend to have different mentalities toward life such as getting married, living in the city and maintaining their lifestyles. For a hospital to work, the idea of preventing illnesses from happening is key in my idea. Therefore the persons who are 20 are selected because they are not financialy stable and can obtain bad habits such as drug abuse.

The next step in my research is to figure out, who the people are, how many homeless persons are in the area, and what are the key services in the area. The 2001 census data may have given me a glimpse of what is there but what I am trying to figure is what is missing?

Highly polluted areas

Data Analysis

From the Census data of 2001 and the software Mapinfo v7. I managed to find out that there is a large percentage of citizens aged from 24 to 40. that is where the main groups are therefore I should base my research on why the age groups of 24 to 40 are there. the smoke stack also explains in the density map that the area close to the smoke stack is avoided. There may be shops but the area around it is residential. With this news, I can go into more focus through what is hidden. I will search based on health illnesses around the age 24 to 40 group and what is causing the demographic results to be this way.

Density map for all age groups

Dark Blue means densely populated.

Data of age group

Data from 2001 census courtesy of mapinfo and Urban modeling

First attempt at making a gill filter

A bed that follows you

Various Stalker models

Ideas for the prototype

1. Based on the abstract model, blades that track people as they follow people walking by on the streets.
2. A chair that follows you.
3. A building that changes to from disabled mobility to normal mobility functions.