東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Simulation of Economic Frameworks fo...

Brown, Seth.

Linked to FindBook

Google Book

Amazon

博客來

Simulation of Economic Frameworks for an Urban Stormwater Program Using an Agent-Based Modeling Platform.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simulation of Economic Frameworks for an Urban Stormwater Program Using an Agent-Based Modeling Platform./
Author:	Brown, Seth.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	226 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-04, Section: A.
Contained By:	Dissertations Abstracts International81-04A.
Subject:	Water resources management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22616374
ISBN:	9781687975539

Simulation of Economic Frameworks for an Urban Stormwater Program Using an Agent-Based Modeling Platform.
Brown, Seth.

Simulation of Economic Frameworks for an Urban Stormwater Program Using an Agent-Based Modeling Platform. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 226 p.

Source: Dissertations Abstracts International, Volume: 81-04, Section: A.

Thesis (Ph.D.)--George Mason University, 2019.

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

The U.S. Environmental Protection Agency (EPA) considers urban stormwater runoff as the only major growing source of water pollution across many parts of the United States today. The need for investments in stormwater management infrastructure is significant and growing. Pressures to drive implementation of green stormwater infrastructure (GSI) on private properties is a significant factor in the overall need for investment. This allocation of resources requires the use of incentives to motivate private property owners to consider adopting GSI. The use of incentives demands an understanding of topics such as how parcel owners gain information on incentives programs, the value of GSI, and decisions based on adopting innovative technologies, such as GSI. This study presents a methodology for a generalized approach to simulate GSI adoption across a large urban area referred to as the Green Infrastructure Social-Spatial-Adoption (G-SSA) model. The G-SSA methodology incorporates decision-making dynamics, social and spatial influencing algorithms, economic and financial considerations, and diffusion of innovation considerations. A conceptual G-SSA model is developed and explored with model output reflecting expected and observed behavior related to temporal and spatial GSI adoption patterns. Model sensitivity analysis highlights the significance of social and spatial model elements to overall GSI adoption rates and pattern. An applied G-SSA model is developed and explored to simulate the complex emergent patterns for GSI adoption across a specific cityscape (Washington, DC). The applied G-SSA model output was consistent with expected model behavior as well as observed and document GSI adoption patterns in Washington, DC. In addition, model exploration suggests that investment in public outreach/engagement throughout the duration of the program is critical; those who adopt GSI prior to the start of market-based program implementation should be leveraged for early success in GSI adoption growth, highly-innovative areas should be leveraged to ensure success in GSI adoption in early phases of a program, and single-family residential properties in areas with depressed property values is critical to long-term GSI adoption rates due to reduced opportunity costs associated with GSI implementation.

ISBN: 9781687975539Subjects--Topical Terms:

794747
Water resources management.
Subjects--Index Terms:

Agent-based modeling

Simulation of Economic Frameworks for an Urban Stormwater Program Using an Agent-Based Modeling Platform.
LDR:03598nmm a2200385 4500 001 2265896
005 20200529130312.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781687975539
035 $a (MiAaPQ)AAI22616374
035 $a AAI22616374
040 $a MiAaPQ $c MiAaPQ
100 1 $a Brown, Seth. $3 3504041
245 1 0 $a Simulation of Economic Frameworks for an Urban Stormwater Program Using an Agent-Based Modeling Platform.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 226 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-04, Section: A.
500 $a Advisor: Houck, Mark;Ferreira, Celso.
502 $a Thesis (Ph.D.)--George Mason University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a The U.S. Environmental Protection Agency (EPA) considers urban stormwater runoff as the only major growing source of water pollution across many parts of the United States today. The need for investments in stormwater management infrastructure is significant and growing. Pressures to drive implementation of green stormwater infrastructure (GSI) on private properties is a significant factor in the overall need for investment. This allocation of resources requires the use of incentives to motivate private property owners to consider adopting GSI. The use of incentives demands an understanding of topics such as how parcel owners gain information on incentives programs, the value of GSI, and decisions based on adopting innovative technologies, such as GSI. This study presents a methodology for a generalized approach to simulate GSI adoption across a large urban area referred to as the Green Infrastructure Social-Spatial-Adoption (G-SSA) model. The G-SSA methodology incorporates decision-making dynamics, social and spatial influencing algorithms, economic and financial considerations, and diffusion of innovation considerations. A conceptual G-SSA model is developed and explored with model output reflecting expected and observed behavior related to temporal and spatial GSI adoption patterns. Model sensitivity analysis highlights the significance of social and spatial model elements to overall GSI adoption rates and pattern. An applied G-SSA model is developed and explored to simulate the complex emergent patterns for GSI adoption across a specific cityscape (Washington, DC). The applied G-SSA model output was consistent with expected model behavior as well as observed and document GSI adoption patterns in Washington, DC. In addition, model exploration suggests that investment in public outreach/engagement throughout the duration of the program is critical; those who adopt GSI prior to the start of market-based program implementation should be leveraged for early success in GSI adoption growth, highly-innovative areas should be leveraged to ensure success in GSI adoption in early phases of a program, and single-family residential properties in areas with depressed property values is critical to long-term GSI adoption rates due to reduced opportunity costs associated with GSI implementation.
590 $a School code: 0883.
650 4 $a Water resources management. $3 794747
650 4 $a Environmental economics. $3 535179
650 4 $a Behavioral psychology. $3 2122788
653 $a Agent-based modeling
653 $a Behavioral economics
653 $a Computational social science
653 $a Environmental economics
653 $a Green infrastructure
653 $a Stormwater management
690 $a 0595
690 $a 0438
690 $a 0384
710 2 $a George Mason University. $b Civil and Infrastructure Engineering. $3 2102100
773 0 $t Dissertations Abstracts International $g 81-04A.
790 $a 0883
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22616374