ENVSOCTY 1HA3 - Winter 2023 - Tutorial Activity #2 - Q&A p

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ENVSOCTY 1HA3 – Society, Culture & Environment (2022-23 – Winter) Tutorial Activity #2 – Urban Issues: Residential Segregation QUESTIONS & ANSWERS Full Name Student Number: Instructions: You must be present in your tutorial this week in order to complete and submit the Tutorial Activity. For each of the sections below, you will be completing small tasks experimenting with the “Parable of the Polygon” ( ncase.me/polygons/ ), and discussing the overall patterns/trends you observe. There are six scenarios that you will work through but they are not numbered, therefore you need to follow the short descriptions above each scenario listed below. Make sure to save this document to your computer (insure it is saved as a .doc or .docx file or else it may not be properly read in Avenue to Learn/Turn-it-In). Due: 11:59 PM on the day of YOUR tutorial to the appropriate Avenue to Learn drop-box ( Assignments > Tutorial Activity #2 – Urban Issues: Residential Segregation) Scenario 1: “Drag & drop unhappy polygons until nobody is unhappy.” Q1. What are some of the general patterns/trends that you observe after having made all shapes happy? After making all the shapes happy I realized that they are most happy put together with shapes like them. They can be happy with having different neighbours but they do not like to be surrounded by them or be outnumbered. Scenario 2: “Run this simulation a few times. What happens?” Q2. Run the simulation 5 times and record the amount of segregation. Percentage of segregation 1 54 2 51 3 61 4 62 5 56 Scenario 3: “Use the slider to adjust the shapes’ individual bias.” Q3. Before running the simulation, what do you predict the level of segregation will look like if the individual bias is 33% (i.e. shape will move if less than 33% of their neighbours look like them)? I predict it will look a little bit less then 50% Q4. How about if the individual bias is 25%? I predict it would look around above 25% but not higher then 45%

Q5. Or what if the individual bias is 50%? I predict it would be around 80% Q6. Adjust the slider and run the simulation 3 times for each individual bias and record the amount of segregation. Individual bias: 33% Percentage of segregation 1 53 2 55 3 43 Individual bias: 25% Percentage of segregation 1 26 2 28 3 20 Individual bias: 50% Percentage of segregation 1 81 2 79 3 78 Q7. How do the simulations compare to your predictions? My predictions were pretty accurate, I was correct at least one of the attempts per percentage of segregation Scenario 4: “World starts segregated. What happens when you lower the bias?” Q8. Adjust the slider so that there is less than a 33% bias and run the simulation a couple of times. Briefly explain what happens and why you think that is. The percentage tends too not to move from 55%. I think this is because even in a world where there is a lot less bias, this helps but it doesn’t solve the problem, there will still be segregation due to other things like personal preference or economic situations. Scenario 5: “World starts segregated. What happens when shapes demand even the smallest bit of diversity?” Q9. Adjust the slider and run the simulation 3 times for each individual bias and record the amount of segregation. Individual bias: <10% or >80% Percentage of segregation 1 0 2 0 3 0 Individual bias: <10% or >90% Percentage of segregation 1 9 2 10 3 6 Q10. What are some of the general patterns/trends that you observed? For the second bias I observed that It did not go above 10 and rarely dipped below 6. It had a steep incline for both biases. For the first bias it dropped to 0 almost right away and stayed that way.

Scenario 6: “Finally, a big ol’ sandbox to play around in.” Create your own experimental scenarios by adjusting the individual bias slider as well as the triangle: square ratio slider. I made the ratio <10% or >65% for the ill move if my neighbors are like me. The triangle and the square ratio is 35:65 and the board is 7% empty. I ran it 5 times and the percentages were 5, 0, 7, 0, 7. Results were very mixed.

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