Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010.

Bibliographic Details
Main Author: He, Qinxian, Ph. D. Massachusetts Institute of Technology
Other Authors: Ian A. Waitz.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/59559
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author He, Qinxian, Ph. D. Massachusetts Institute of Technology
author2 Ian A. Waitz.
author_facet Ian A. Waitz.
He, Qinxian, Ph. D. Massachusetts Institute of Technology
author_sort He, Qinxian, Ph. D. Massachusetts Institute of Technology
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010.
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spelling mit-1721.1/595592019-04-11T11:28:21Z Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts He, Qinxian, Ph. D. Massachusetts Institute of Technology Ian A. Waitz. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student submitted PDF version of thesis. Includes bibliographical references (p. 119-127). Aviation is an industry that has seen tremendous growth in the last several decades. With demand for aviation projected to rise at an annual rate of 5% over the next 20 to 25 years, it is important to consider technological, operational, and policy changes that can help accommodate the forecasted growth while minimizing detrimental effects to the environment, which include aircraft noise, air quality degradation, and climate change. This thesis presents a new method to quantify the monetary impacts of aviation-related noise, which are of particular interest to policymakers and other aviation stakeholders for the evaluation of policy options and tradeoffs. Previous studies on the monetization of aviation noise impacts typically used the hedonic pricing method to estimate noise-induced property value depreciation. However, this approach requires detailed data on local real estate markets, which are not readily available at a fine resolution for many airports regions around the world. The new monetization model developed in this thesis is based on city-level personal income, which is often more widely available than real estate data. At the core of the approach is a meta-analysis of 60 hedonic pricing noise studies from North America, Europe, and Australia, which was used to derive a general relationship between average personal income and the Willingness to Pay (WTP) for noise abatement by means of a multivariate regression analysis. Several explanatory variables were introduced, and a backward selection procedure was used so that the final regression contained only parameters that have a significant effect on WTP. The resulting model expressed WTP for noise abatement as a function of the city-level average personal income and an interaction term, which is the product of the income and a dummy variable for non-US airports. Applying the new model to income data, noise contours, and population data for 178 airports worldwide, the global capitalized monetary impacts of commercial aviation noise in 2005 were estimated to be $25.0 billion, with a standard deviation of $2.2 billion. Comparison with previous results yielded a difference of less than 17%, demonstrating convergent validity of the new model. Uncertainty assessment of the income-based model was conducted in order to understand the sources of uncertainty and how they may limit the model's functionality and applicability. Monte Carlo Simulations were used to explicitly quantify the propagation of uncertainties. Local, global, and distributional sensitivity analyses were also performed to investigate how each model input contributes to output variability, and to prioritize the inputs on which future research should be directed. The results suggested that further research should be conducted to expand the meta-analysis data set, with a particular emphasis on low-income nations where few noise studies currently exist. A more comprehensive meta-analysis data set would elucidate the relationship between income and WTP for noise abatement, thereby reduce epistemic uncertainty and broaden model applicability. by Qinxian He. S.M. 2010-10-29T13:50:47Z 2010-10-29T13:50:47Z 2010 2010 Thesis http://hdl.handle.net/1721.1/59559 668214544 eng 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. http://dspace.mit.edu/handle/1721.1/7582 140 p. application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
He, Qinxian, Ph. D. Massachusetts Institute of Technology
Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts
title Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts
title_full Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts
title_fullStr Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts
title_full_unstemmed Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts
title_short Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts
title_sort development of an income based hedonic monetization model for the assessment of aviation related noise impacts
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/59559
work_keys_str_mv AT heqinxianphdmassachusettsinstituteoftechnology developmentofanincomebasedhedonicmonetizationmodelfortheassessmentofaviationrelatednoiseimpacts