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Exploring the Effectiveness of the U...

Saeedimoghaddam, Mahmoud.

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Exploring the Effectiveness of the Urban Growth Boundaries in Usa Using the Multifractal Analysis of the Road Intersection Points, a Case Study of Portland, Oregon.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring the Effectiveness of the Urban Growth Boundaries in Usa Using the Multifractal Analysis of the Road Intersection Points, a Case Study of Portland, Oregon./
Author:	Saeedimoghaddam, Mahmoud.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	99 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
Contained By:	Dissertations Abstracts International82-05B.
Subject:	Geographic information science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28274252
ISBN:	9798691218224

Exploring the Effectiveness of the Urban Growth Boundaries in Usa Using the Multifractal Analysis of the Road Intersection Points, a Case Study of Portland, Oregon.
Saeedimoghaddam, Mahmoud.

Exploring the Effectiveness of the Urban Growth Boundaries in Usa Using the Multifractal Analysis of the Road Intersection Points, a Case Study of Portland, Oregon. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 99 p.

Source: Dissertations Abstracts International, Volume: 82-05, Section: B.

Thesis (Ph.D.)--University of Cincinnati, 2020.

This item must not be sold to any third party vendors.

Uncontrolled urban sprawls cause environmental damages which may be irreparable. To avoid such losses and to manage the scattered urban developments, several American cities have implemented an urban growth boundary (UGB) policy. The effectiveness of this policy for Portland, Oregon has been quantitatively analyzed in multiple studies. However, those studies were based on the neighborhood scale and thus they suffered from the Modifiable Areal Unit Problem (MAUP). Furthermore, they did not take into account the complex and hierarchical nature of the urban system. Finally, they used temporally aggregated datasets while using the exact temporal snapshots would be more appropriate. In this dissertation, road intersection patterns are used as proxies for urban structure. Eleven exact temporal snapshots of road intersection maps between 1852 and 2019 have been used to avoid the shortcomings of using temporally aggregated data. Before 1992, the data is only available in the form of scanned historical maps and need to be transformed into the usable vector-based format. A supervised machine learning framework based on convolutional neural networks has been used to extract road intersection points from historical maps of the Portland metro area automatically. To analyze the effectiveness of Portland's UGB policy a scale-free methodology which is based on the temporal changes in multifractal characteristics of the urban structure has been used. This method addresses the MAUP and takes the complex and hierarchical nature of the urban system into account. The concept of multifractal characteristics of urban structures is clarified by introducing a model of multifractal simulation of urban structures. Finally, the temporal evolution of the structure of Portland metro from multifractal to monofractal shows that the multifractality of Portland's metro urban structure has indeed started to decline since 1979. However, this decline has halted in 2010, and during the period 2010-2019, the urban structure remained unchanged possibly indicating the saturation of the UGB's effectiveness.

ISBN: 9798691218224Subjects--Topical Terms:

3432445
Geographic information science.
Subjects--Index Terms:

Smart growth

Exploring the Effectiveness of the Urban Growth Boundaries in Usa Using the Multifractal Analysis of the Road Intersection Points, a Case Study of Portland, Oregon.
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520 $a Uncontrolled urban sprawls cause environmental damages which may be irreparable. To avoid such losses and to manage the scattered urban developments, several American cities have implemented an urban growth boundary (UGB) policy. The effectiveness of this policy for Portland, Oregon has been quantitatively analyzed in multiple studies. However, those studies were based on the neighborhood scale and thus they suffered from the Modifiable Areal Unit Problem (MAUP). Furthermore, they did not take into account the complex and hierarchical nature of the urban system. Finally, they used temporally aggregated datasets while using the exact temporal snapshots would be more appropriate. In this dissertation, road intersection patterns are used as proxies for urban structure. Eleven exact temporal snapshots of road intersection maps between 1852 and 2019 have been used to avoid the shortcomings of using temporally aggregated data. Before 1992, the data is only available in the form of scanned historical maps and need to be transformed into the usable vector-based format. A supervised machine learning framework based on convolutional neural networks has been used to extract road intersection points from historical maps of the Portland metro area automatically. To analyze the effectiveness of Portland's UGB policy a scale-free methodology which is based on the temporal changes in multifractal characteristics of the urban structure has been used. This method addresses the MAUP and takes the complex and hierarchical nature of the urban system into account. The concept of multifractal characteristics of urban structures is clarified by introducing a model of multifractal simulation of urban structures. Finally, the temporal evolution of the structure of Portland metro from multifractal to monofractal shows that the multifractality of Portland's metro urban structure has indeed started to decline since 1979. However, this decline has halted in 2010, and during the period 2010-2019, the urban structure remained unchanged possibly indicating the saturation of the UGB's effectiveness.
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