Valuing open space : land economics and neighborhood parks

The thesis of the work is that statistical analysis can reliably measure individual preferences for different aspects of the built environment. These measurements can be used to understand and critique the effectiveness of existing neighborhoods in meeting the needs of residents, and to develop proposals for new neighborhoods. The research uses hedonic regression analysis to quantify the market value of specific attributes of housing quality, location and neighborhood at sites near Dallas, Texas. Measurements of location value in the form of travel-based rent gradients, proximity measures, and path characteristics are derived from these analyses. The research allows designs to be produced and critiqued with a better understanding of both homeowner preferences and market feasibility. It links the design process to a market-based feedback mechanism, and allows designers to make decisions that are more responsive to a project's social and economic site.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Architecture.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2001

Author dc:creator

• Miller, Andrew Ross, 1976-

Advisor dc:contributor.advisor

• Ellen Dunham-Jones and Henry Pollakowski.

• Architecture.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/8754

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/8754