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Massachusetts Institute of Technology

Using transactional and spatial data to determine drivers of industrial land value

Abstract

dc:description.abstract

The value of a given parcel of land is determined by a multitude of factors based on its location and physical characteristics. No two parcels are alike, making direct comparison between parcels and the study of underlying land values difficult. Further, in locations where land is most valuable, there are often existing improvements on the land. In order to determine a land-only value, the value of the existing buildings or infrastructure must be estimated. This leads to the potential for errors and other issues. There has been a great deal of research conducted on land value for specific real estate uses, such as residential or office. However, little research has been conducted on industrial land. This study will focus specifically on industrial land value and the individual factors that drive it. This study analyzes a database of 1,000 transactions in 10 of the largest industrial real estate markets in the United States.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Callahan, Mark F.(Mark Francis)
Advisor dc:contributor.advisor
  • Albert Saiz.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/113483
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/113483

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

Callahan, Mark F.(Mark Francis). Using transactional and spatial data to determine drivers of industrial land value. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113483