國立高雄大學圖資館 |

Language: English

Back

Modeling to Evaluate the Contribution of the Built Environment on Heat Microenvironments and Analysis of the Efficiency and Efficacy of Electric Vehicle Purchase Incentives /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling to Evaluate the Contribution of the Built Environment on Heat Microenvironments and Analysis of the Efficiency and Efficacy of Electric Vehicle Purchase Incentives /Parker King.
Author:	King, Parker,
Description:	1 electronic resource (207 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-10, Section: A.
Notes:	Advisors: Gleason, Kelsey; Rowangould, Gregory; Doran, Elizabeth Committee members: Rizzo, Donna M.; Rowangould, Dana.
Contained By:	Dissertations Abstracts International85-10A.
Subject:	Computer engineering.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31148656
ISBN:	9798382306254

Modeling to Evaluate the Contribution of the Built Environment on Heat Microenvironments and Analysis of the Efficiency and Efficacy of Electric Vehicle Purchase Incentives /
King, Parker,

Modeling to Evaluate the Contribution of the Built Environment on Heat Microenvironments and Analysis of the Efficiency and Efficacy of Electric Vehicle Purchase Incentives /Parker King. - 1 electronic resource (207 pages)

Source: Dissertations Abstracts International, Volume: 85-10, Section: A.

This dissertation provides an integrated examination of urban heat mitigation strategies and the effectiveness of electric vehicle (EV) purchase incentives, employing innovative methodologies across its four chapters to address pressing environmental and policy challenges. It leverages a unique dataset obtained through extensive mobile sampling, state-of-the-art machine learning techniques, revealed preference data collected through robust survey design, and detailed sociodemographic analyses to offer insights into the dynamics of urban heat islands, sustainable transportation, and policy efficiency.The first section details the quantifying of micro-environment heat differences pertaining to the influence of the built environment across 10 cities over 20 days, using mobile sampling conducted via e-bike. Building on the empirical findings of the first chapter, I utilize the developed models to conduct a statewide analysis of the potential for heat mitigation through the strategic replacement of pavement with tree cover. Lastly, we advance the discussion by employing the mobile data collected to evaluate the comparative predictive and mapping capabilities of two distinct machine learning algorithms.The final section shifts focus to examining the awareness and influence of EV purchase incentives through a survey of recent vehicle purchasers. This chapter quantifies the effectiveness and efficiency of these incentives in driving sustainable transportation choices, providing critical insights into consumer behavior and the policy measures most likely to accelerate the adoption of electric vehicles.The following work offers a comprehensive and multi-faceted exploration of urban heat mitigation and sustainable transportation policies. By combining field-based mobile sampling, advanced analytical models, and sociodemographic insights, this work contributes significantly to our understanding of effective strategies for creating cooler, more sustainable urban environments and promoting the adoption of electric vehicles.

English

ISBN: 9798382306254Subjects--Topical Terms:

212944
Computer engineering.
Subjects--Index Terms:

Electric vehicles

Modeling to Evaluate the Contribution of the Built Environment on Heat Microenvironments and Analysis of the Efficiency and Efficacy of Electric Vehicle Purchase Incentives /
LDR:03795nmm a22004693i 4500 001 676297
005 20250420214337.5
006 m o d
007 cr|nu||||||||
008 250901s2024 miu||||||m |||||||eng d
020 $a 9798382306254
035 $a (MiAaPQD)AAI31148656
035 $a AAI31148656
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a King, Parker, $e author. $3 990054
245 1 0 $a Modeling to Evaluate the Contribution of the Built Environment on Heat Microenvironments and Analysis of the Efficiency and Efficacy of Electric Vehicle Purchase Incentives / $c Parker King.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (207 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: 85-10, Section: A.
500 $a Advisors: Gleason, Kelsey; Rowangould, Gregory; Doran, Elizabeth Committee members: Rizzo, Donna M.; Rowangould, Dana.
502 $b Ph.D. $c The University of Vermont and State Agricultural College $d 2024.
520 $a This dissertation provides an integrated examination of urban heat mitigation strategies and the effectiveness of electric vehicle (EV) purchase incentives, employing innovative methodologies across its four chapters to address pressing environmental and policy challenges. It leverages a unique dataset obtained through extensive mobile sampling, state-of-the-art machine learning techniques, revealed preference data collected through robust survey design, and detailed sociodemographic analyses to offer insights into the dynamics of urban heat islands, sustainable transportation, and policy efficiency.The first section details the quantifying of micro-environment heat differences pertaining to the influence of the built environment across 10 cities over 20 days, using mobile sampling conducted via e-bike. Building on the empirical findings of the first chapter, I utilize the developed models to conduct a statewide analysis of the potential for heat mitigation through the strategic replacement of pavement with tree cover. Lastly, we advance the discussion by employing the mobile data collected to evaluate the comparative predictive and mapping capabilities of two distinct machine learning algorithms.The final section shifts focus to examining the awareness and influence of EV purchase incentives through a survey of recent vehicle purchasers. This chapter quantifies the effectiveness and efficiency of these incentives in driving sustainable transportation choices, providing critical insights into consumer behavior and the policy measures most likely to accelerate the adoption of electric vehicles.The following work offers a comprehensive and multi-faceted exploration of urban heat mitigation and sustainable transportation policies. By combining field-based mobile sampling, advanced analytical models, and sociodemographic insights, this work contributes significantly to our understanding of effective strategies for creating cooler, more sustainable urban environments and promoting the adoption of electric vehicles.
546 $a English
590 $a School code: 0243
650 4 $a Computer engineering. $3 212944
650 4 $a Transportation. $3 201352
653 $a Electric vehicles
653 $a Machine learning
653 $a Pavement
653 $a Urban heat
653 $a Urban environments
690 $a 0543
690 $a 0464
690 $a 0800
690 $a 0709
710 2 $a The University of Vermont and State Agricultural College. $b Civil and Environmental Engineering. $e degree granting institution. $3 990055
720 1 $a Gleason, Kelsey $e degree supervisor.
720 1 $a Rowangould, Gregory $e degree supervisor.
720 1 $a Doran, Elizabeth $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-10A.
790 $a 0243
791 $a Ph.D.
792 $a 2024
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31148656