Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Hindustan Times points out high value of H-1B visas for US innovation, welfare, and tech firm profits

Novak, Geronimus, Martinez-Cardoso: Threat of deportation harmful to immigrants' health

Students from two worlds learn from one another in Morenoff's Inside-Out class

More News

Highlights

Heather Ann Thompson wins Pulitzer Prize for book on Attica uprising

Lam explores dimensions of the projected 4 billion increase in world population before 2100

ISR's Nick Prieur wins UMOR award for exceptional contribution to U-M's research mission

How effectively can these nations handle outside investments in health R&D?

More Highlights

Next Brown Bag

Mon, April 10, 2017, noon:
Elizabeth Bruch

Characterizing location preferences in an exurban population: Implications for agent based modeling

Publication Abstract

Fernandez, L.E., Daniel G. Brown, R.W. Marans, and J.I. Nassauer. 2005. "Characterizing location preferences in an exurban population: Implications for agent based modeling." Environment and Planning B: Planning and Design, 32(6): 799-820.

Powerful computational tools are becoming available to represent the behavior of complex systems. Agent-based modeling, in particular, facilitates an examination of the system-level outcomes of the heterogeneous actions of a set of heterogeneous agents: for example, patterns of land-use and land-cover change, such as urban sprawl as a result of residential location decisions. These new tools create new demands for data, and empirical studies of the selection behavior of residents. Using resident responses from the 2001 Detroit Area Study survey, we compared two alternative approaches to characterizing the heterogeneous preferences of agents; both based on a factor analysis of resident responses to questions about their reasons for moving to their current location. We used cluster analysis to identify how many and what types of residents there are, grouped by similar preferences. We also evaluated the relationships between socioeconomic and demographic characteristics and location preferences using regression trees, and evaluated the fit of the relationship to determine the degree to which socioeconomic characteristics predict preferences. The results showed that the preferences of resident exurbans of single-family homes in the Detroit metropolitan area were heterogeneous and that distinct preference groups do exist in resident populations, but are not well characterized on the basis of simple socioeconomic and demographic variables. We conclude that, given the heterogeneous nature of preferences and a relatively limited number of preference groupings observed in the survey respondents, agent-based models simulating resident behavior should reflect this diversity in the population and incorporate distinct agent classes of empirically derived preference distributions.

DOI:10.1068/b3071 (Full Text)

Country of focus: United States of America.

Browse | Search : All Pubs | Next