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Massachusetts Institute of Technology

Residential property values and neighborhood retail : a comparison of pedestrian and automobile oriented retail clusters

Abstract

dc:description.abstract

This study tests the hypothesis that home buyers pay a premium to live within walking distance of pedestrian accessible retail. To answer this question two types of retail clusters are identified in the Boston metropolitan area-pedestrian oriented and automobile oriented--and comparisons are made between their effects on surrounding residential property values. Hedonic regression analysis reveals price gradients which vary depending on retail form, regional location and home type. In particular, walkable centers appear to be more appreciated in inner-suburban locations and among condominium buyers. Interestingly, automobile oriented retail clusters are found to not significantly affect the values of proximate single family homes.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tiffany, Thacher
Advisor dc:contributor.advisor
  • Lynn Fisher.

Subjects

dc:subject × 1

Rights

dc:rights
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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/37478
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/37478

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Tiffany, Thacher. Residential property values and neighborhood retail : a comparison of pedestrian and automobile oriented retail clusters. Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37478