Limit Sets for Natural Extensions of Schelling's Segregation Model

Nonlinear Sciences – Adaptation and Self-Organizing Systems

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages, 10 figures

Scientific paper

Thomas Schelling developed an influential demographic model that illustrated how, even with relatively mild assumptions on each individual's nearest neighbor preferences, an integrated city would likely unravel to a segregated city, even if all individuals prefer integration. Individuals in Schelling's model cities are divided into two groups of equal number and each individual is 'happy' or 'unhappy' when the number of similar neighbors cross a simple threshold. In this manuscript we consider natural extensions of Schelling's original model to allow the two groups have different sizes and to allow different notions of happiness of an individual. We observe that differences in aggregation patterns of majority and minority groups are highly sensitive to the happiness threshold; for low threshold, the differences are small, and when the threshold is raised, striking new patterns emerge. We also observe that when individuals strongly prefer to live integrated neighborhoods, the final states exhibit a new tessellated-like structure.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Limit Sets for Natural Extensions of Schelling's Segregation Model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Limit Sets for Natural Extensions of Schelling's Segregation Model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Limit Sets for Natural Extensions of Schelling's Segregation Model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-422685

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.