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Massachusetts Institute of Technology

The process of resort second home development demand quantification : exploration of methodologies and case study application

Abstract

dc:description.abstract

Prevalent methodologies utilized by resort second home development professionals to quantify demand for future projects are identified and critiqued. The strengths of each model are synthesized in order to formulate an original, composite methodology for demand quantification with industry-wide applicability. This "best practices" synthesized model is then applied to a real world case study and back tested in an effort to gauge its accuracy. After analysis of its performance, modifications are made and an innovative method for forecasting absorption is added to its framework. The resulting product of this effort is the creation of the Comprehensive Resort Second Home Demand Forecasting Model.

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
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wholey, Christopher J. (Christoper John)
Advisor dc:contributor.advisor
  • Peter Roth.

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/1721.1/68174
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/68174

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

Wholey, Christopher J. (Christoper John). The process of resort second home development demand quantification : exploration of methodologies and case study application. Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68174