國立虎尾科技大學 |

Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology : = Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology :/
其他題名:	Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
作者:	Banerjee, Debolina.
面頁冊數:	1 online resource (254 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
Contained By:	Dissertations Abstracts International85-02B.
標題:	Social psychology. -
電子資源:	click for full text (PQDT)
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. - 1 online resource (254 pages)

Source: Dissertations Abstracts International, Volume: 85-02, Section: B.

Thesis (Ph.D.)--The University of Utah, 2023.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380128094Subjects--Topical Terms:

554804
Social psychology.
Subjects--Index Terms:

Adoption behaviorIndex Terms--Genre/Form:

554714
Electronic books.

Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology : = Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
LDR:04033ntm a22004097 4500 001 1141880
005 20240604073552.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798380128094
035 $a (MiAaPQ)AAI30422187
035 $a AAI30422187
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Banerjee, Debolina. $3 1465935
245 1 0 $a Knowledge and Innovation on the Road to Adoption of Green Infrastructure Technology : $b Stormwater Management in Fast-Growing, Arid-Climate Utah Cities and Towns.
264 0 $c 2023
300 $a 1 online resource (254 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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.
504 $a Includes bibliographical references
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Social psychology. $3 554804
650 4 $a Sustainability. $3 793436
650 4 $a Water resources management. $3 1178858
650 4 $a Urban planning. $3 1180826
653 $a Adoption behavior
653 $a Agent-based models
653 $a Green stormwater infrastructure
653 $a Stakeholder perceptions
653 $a Stormwater managers
655 7 $a Electronic books. $2 local $3 554714
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 1465936
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Dissertations Abstracts International $g 85-02B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30422187 $z click for full text (PQDT)