Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Knowledge and Innovation on the Road...
~
Banerjee, Debolina.
Linked to FindBook
Google Book
Amazon
博客來
Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology: Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology: Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns./
Author:
Banerjee, Debolina.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:
254 p.
Notes:
Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
Contained By:
Dissertations Abstracts International85-02B.
Subject:
Urban planning. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30422187
ISBN:
9798380128094
Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology: Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
Banerjee, Debolina.
Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology: Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 254 p.
Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
Thesis (Ph.D.)--The University of Utah, 2023.
This item must not be sold to any third party vendors.
Green stormwater infrastructure (GSI) is a critical climate change mitigation tool. GSI are engineered systems mimicking natural systems for flood control and pollutant removal from stormwater runoff. Additionally, GSI facilitates sustainable city planning with its array of ecological services and represents a coupled human-nature system.Previous research highlights cognitive barriers as an impediment to GSI adoption. In this dissertation, I have studied the factors that shape GSI cognition. I used sociopsychological theories to determine key stakeholders' values, beliefs, and perceptions of GSI, the factors that form them, and their influence on future GSI adoption.A multiscalar contextual approach to understanding the social drivers of GSI is crucial for a smoother transition from gray to green infrastructure. Consequently, my primary research question is the following: what are the underlying elements influencing knowledge, attitudes, and behaviors regarding GSI adoption barriers, and what are some specific ways to incorporate these considerations in GSI implementation modeling? The social contextual drivers of GSI adoption were understood using a mixed-method research design incorporating statistical modeling, qualitative analysis, and complex agent-based modeling.This dissertation comprises three papers that share core concepts of sociological influence on GSI adoption behavior. The first paper is a qualitative study analyzing the values and beliefs that frame and situate stormwater issues regarding water quality within the broader context of green infrastructure inception at the watershed scale. The second paper using structural equation models, analyzes the causal relationship of biophysical environment shaping GSI perceptions. This study identifies the impact of decision-making context on local government's GSI adoption intentions. The third paper uses agent-based models simulating stormwater managers' GSI adoption decisions under various scenarios. This paper bridges the existing gap in GSI implementation models by incorporating the complex interaction of human perception with biophysical determinants. This dissertation offers an overall understanding of the social dimensions that shape the perception of GSI adoption. As cities look to uptake more sustainable planning practices in combating the challenges faced by climate change, a thorough understanding of the social influencers of GSI adoption can play a significant role in integrating GSI into the urban landscape.
ISBN: 9798380128094Subjects--Topical Terms:
2122922
Urban planning.
Subjects--Index Terms:
Adoption behavior
Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology: Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
LDR
:03878nmm a2200409 4500
001
2393784
005
20240604073552.5
006
m o d
007
cr#unu||||||||
008
251215s2023 ||||||||||||||||| ||eng d
020
$a
9798380128094
035
$a
(MiAaPQ)AAI30422187
035
$a
AAI30422187
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Banerjee, Debolina.
$3
3763260
245
1 0
$a
Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology: Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2023
300
$a
254 p.
500
$a
Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
500
$a
Advisor: Hinners, Sarah Jack.
502
$a
Thesis (Ph.D.)--The University of Utah, 2023.
506
$a
This item must not be sold to any third party vendors.
520
$a
Green stormwater infrastructure (GSI) is a critical climate change mitigation tool. GSI are engineered systems mimicking natural systems for flood control and pollutant removal from stormwater runoff. Additionally, GSI facilitates sustainable city planning with its array of ecological services and represents a coupled human-nature system.Previous research highlights cognitive barriers as an impediment to GSI adoption. In this dissertation, I have studied the factors that shape GSI cognition. I used sociopsychological theories to determine key stakeholders' values, beliefs, and perceptions of GSI, the factors that form them, and their influence on future GSI adoption.A multiscalar contextual approach to understanding the social drivers of GSI is crucial for a smoother transition from gray to green infrastructure. Consequently, my primary research question is the following: what are the underlying elements influencing knowledge, attitudes, and behaviors regarding GSI adoption barriers, and what are some specific ways to incorporate these considerations in GSI implementation modeling? The social contextual drivers of GSI adoption were understood using a mixed-method research design incorporating statistical modeling, qualitative analysis, and complex agent-based modeling.This dissertation comprises three papers that share core concepts of sociological influence on GSI adoption behavior. The first paper is a qualitative study analyzing the values and beliefs that frame and situate stormwater issues regarding water quality within the broader context of green infrastructure inception at the watershed scale. The second paper using structural equation models, analyzes the causal relationship of biophysical environment shaping GSI perceptions. This study identifies the impact of decision-making context on local government's GSI adoption intentions. The third paper uses agent-based models simulating stormwater managers' GSI adoption decisions under various scenarios. This paper bridges the existing gap in GSI implementation models by incorporating the complex interaction of human perception with biophysical determinants. This dissertation offers an overall understanding of the social dimensions that shape the perception of GSI adoption. As cities look to uptake more sustainable planning practices in combating the challenges faced by climate change, a thorough understanding of the social influencers of GSI adoption can play a significant role in integrating GSI into the urban landscape.
590
$a
School code: 0240.
650
4
$a
Urban planning.
$3
2122922
650
4
$a
Water resources management.
$3
794747
650
4
$a
Sustainability.
$3
1029978
650
4
$a
Social psychology.
$3
520219
653
$a
Adoption behavior
653
$a
Agent-based models
653
$a
Green stormwater infrastructure
653
$a
Stakeholder perceptions
653
$a
Stormwater managers
690
$a
0999
690
$a
0595
690
$a
0640
690
$a
0451
710
2
$a
The University of Utah.
$b
City and Metropolitan Planning.
$3
3190827
773
0
$t
Dissertations Abstracts International
$g
85-02B.
790
$a
0240
791
$a
Ph.D.
792
$a
2023
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30422187
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9502104
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login