MODELING AVIATION FACILITIES IMPACT ON RESIDENTIAL PROPERTY VALUES.

Persistent Link:
http://hdl.handle.net/10150/184124
Title:
MODELING AVIATION FACILITIES IMPACT ON RESIDENTIAL PROPERTY VALUES.
Author:
AL-KHABBAZ, AHMAD ABDALLA.
Issue Date:
1987
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The purpose was to evaluate airport impact on nearby residential property values (RPV). The hypothesis was that a relationship between noise levels, and nearby RPV could be identified and quantified. The objective was to model a relationship between housing location with respect to an airport and housing value, taking into consideration other relevant factors. Evaluation of aviation facilities impact on RPV was based on a sample of 587 single-family houses sold during 1984 and 1985. Selling price was used as the dependent variable. Independent variables included physical characteristics of a house, distance to the closest airport, accessibility of a house to the urban area, and supply and demand for houses. Distance to nearest airport was used as a surrogate for aircraft noise level. Study indicated that impact of aviation facilities on RPV could be quantified using selling price of a house as the dependent variable and distance from an airport as a primary independent variable along with physical characteristics of a house. Effect of an airport on RPV appears dependent not only on distance, but also on type of airport and selling price of a house. Davis-Monthan Airport (DM), a military airport, has a significantly greater impact than Tucson International Airport (TIA), a commercial airport. DM impact was greatest on houses priced above sample median. However, lower priced houses were effected more when the impact was expressed as a percent of selling price. DM impact area was approximately 2 miles from the airport, while TIA impact was about 1 mile from the facility. Distance from DM was the most significant variable in describing variation in selling price for houses closest to this facility. Living area of a house was also a very significant variable. Distance to TIA was not very significant in evaluating selling price variation. Living area and age of a house were generally the most significant variables describing selling price variation for TIA subset.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Airport noise -- Economic aspects.; Airports -- Location.; Real property -- Valuation.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Civil Engineering and Engineering Mechanics; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Witkowski, J. M.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleMODELING AVIATION FACILITIES IMPACT ON RESIDENTIAL PROPERTY VALUES.en_US
dc.creatorAL-KHABBAZ, AHMAD ABDALLA.en_US
dc.contributor.authorAL-KHABBAZ, AHMAD ABDALLA.en_US
dc.date.issued1987en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe purpose was to evaluate airport impact on nearby residential property values (RPV). The hypothesis was that a relationship between noise levels, and nearby RPV could be identified and quantified. The objective was to model a relationship between housing location with respect to an airport and housing value, taking into consideration other relevant factors. Evaluation of aviation facilities impact on RPV was based on a sample of 587 single-family houses sold during 1984 and 1985. Selling price was used as the dependent variable. Independent variables included physical characteristics of a house, distance to the closest airport, accessibility of a house to the urban area, and supply and demand for houses. Distance to nearest airport was used as a surrogate for aircraft noise level. Study indicated that impact of aviation facilities on RPV could be quantified using selling price of a house as the dependent variable and distance from an airport as a primary independent variable along with physical characteristics of a house. Effect of an airport on RPV appears dependent not only on distance, but also on type of airport and selling price of a house. Davis-Monthan Airport (DM), a military airport, has a significantly greater impact than Tucson International Airport (TIA), a commercial airport. DM impact was greatest on houses priced above sample median. However, lower priced houses were effected more when the impact was expressed as a percent of selling price. DM impact area was approximately 2 miles from the airport, while TIA impact was about 1 mile from the facility. Distance from DM was the most significant variable in describing variation in selling price for houses closest to this facility. Living area of a house was also a very significant variable. Distance to TIA was not very significant in evaluating selling price variation. Living area and age of a house were generally the most significant variables describing selling price variation for TIA subset.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectAirport noise -- Economic aspects.en_US
dc.subjectAirports -- Location.en_US
dc.subjectReal property -- Valuation.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineCivil Engineering and Engineering Mechanicsen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorWitkowski, J. M.en_US
dc.contributor.committeememberBetz, M.en_US
dc.contributor.committeememberKuehl, R. O.en_US
dc.identifier.proquest8716346en_US
dc.identifier.oclc698701525en_US
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