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Modeling Social Ties and Household Mobility.
1Department of Geography, The State University of New York at Buffalo, Buffalo, New York 14261 USA.
Annals of the Association of American Geographers. Association of American Geographers
|July 19, 2014
Summary
Individual decisions on where to live drive urban sprawl and socio-economic disparities. This study models how social ties influence household mobility and neighborhood choice, finding income, race, and local connections significantly shape migration patterns.
Area of Science:
- Urban Studies
- Sociology
- Computational Social Science
Background:
- Persistent urban problems like sprawl and socio-economic disparity are influenced by individual residential choices.
- Understanding household mobility patterns is key to addressing these urban challenges.
Purpose of the Study:
- To develop an agent-based model simulating social and economic influences on neighborhood choice.
- To examine the role of social ties in shaping intra-urban household mobility using Danville, Illinois as a case study.
- To compare simulated migration patterns with observed data to validate model parameters.
Main Methods:
- An agent-based model was developed to simulate household relocation decisions.
- Logit utility functions encoded social network and neighborhood choices.
- Parameter variation adjusted factors influencing social tie formation (e.g., proximity, income, race, children).
- Simulated migration patterns were compared against observed two-year migration data.
Main Results:
- Regression analysis identified income, race, and probability of local ties as significant factors in matching observed migration patterns.
- Model parameter settings significantly influenced simulated migration error.
- A non-linear effect of simulated social networks on household mobility and migration error was observed.
Conclusions:
- Social network characteristics, particularly income and race similarity, play a crucial role in household residential choices.
- Agent-based modeling provides a valuable framework for understanding complex urban mobility dynamics.
- The study highlights the interconnectedness of social ties, neighborhood attractiveness, and affordability in residential decision-making.
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