國立高雄大學圖資館 |

登入

回首頁

Behavior Science Methods for Active Transportation Demand Management.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Behavior Science Methods for Active Transportation Demand Management.
作者:	Pan, Meiyu.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2022
面頁冊數:	202 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-07, Section: A.
附註:	Advisor: Ryan, Alyssa.
Contained By:	Dissertations Abstracts International84-07A.
標題:	Transportation.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29997401
ISBN:	9798368420226

Behavior Science Methods for Active Transportation Demand Management.
Pan, Meiyu.

Behavior Science Methods for Active Transportation Demand Management. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 202 p.

Source: Dissertations Abstracts International, Volume: 84-07, Section: A.

Thesis (Ph.D.)--The University of Arizona, 2022.

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

Transportation sustainability is one of the most widely discussed topics by transportation agencies across the U.S. as the transportation sector generates the largest share of greenhouse gas emissions, accounting for 27% of 2020 greenhouse gas emissions. Effective measures should be taken in the transportation industry to reduce carbon dioxide emissions the vulnerability of the system and the people served by these systems to climatic change. Past literature, however, rarely examined how to enhance the efficiency of behavior change tactics and improve equity while reducing costs by assessing people's perceptions, motivations, and irrationality in their decision-making processes. The findings of this dissertation could facilitate the development of a human-centered and cost-effective framework for behavior change that state DOTs can utilize to establish demand management plans.By utilizing cutting-edge behavior measurement tools, including online surveys and field experiments, this dissertation aims to investigate the relationship between individual and contextual factors and the behavior to switch modes of transportation. The target audience of the transportation demand management programs, their perceived barriers to active transportation (i.e., any self-propelled, human-powered mode of transportation, such as walking or bicycling) and shared transportation (i.e., transportation services and resources that are shared among users), as well as the dynamic impact of their cognitive biases on mode shift, were examined in-depth using behavior science methodologies. Advanced statistical and machine learning algorithms were utilized to interpret the findings.This dissertation's outcomes include a comprehensive framework for travel behavior investigation, demographic and geological characterization of the target audiences, and a deeper understanding of how mental and physical biases keep people from switching to more sustainable modes of transportation. This work contributes to the development of equitable and behavior-adaptive demand strategies that can maximize the behavior change impact while minimizing the cost of program development, implementation, and promotion.

ISBN: 9798368420226Subjects--Topical Terms:

201352
Transportation.
Subjects--Index Terms:

Transportation sustainability

Behavior Science Methods for Active Transportation Demand Management.
LDR:03332nmm a2200349 4500 001 636205
005 20230501063927.5
006 m o d
007 cr#unu||||||||
008 230724s2022 ||||||||||||||||| ||eng d
020 $a 9798368420226
035 $a (MiAaPQ)AAI29997401
035 $a AAI29997401
040 $a MiAaPQ $c MiAaPQ
100 1 $a Pan, Meiyu. $3 942648
245 1 0 $a Behavior Science Methods for Active Transportation Demand Management.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 202 p.
500 $a Source: Dissertations Abstracts International, Volume: 84-07, Section: A.
500 $a Advisor: Ryan, Alyssa.
502 $a Thesis (Ph.D.)--The University of Arizona, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a Transportation sustainability is one of the most widely discussed topics by transportation agencies across the U.S. as the transportation sector generates the largest share of greenhouse gas emissions, accounting for 27% of 2020 greenhouse gas emissions. Effective measures should be taken in the transportation industry to reduce carbon dioxide emissions the vulnerability of the system and the people served by these systems to climatic change. Past literature, however, rarely examined how to enhance the efficiency of behavior change tactics and improve equity while reducing costs by assessing people's perceptions, motivations, and irrationality in their decision-making processes. The findings of this dissertation could facilitate the development of a human-centered and cost-effective framework for behavior change that state DOTs can utilize to establish demand management plans.By utilizing cutting-edge behavior measurement tools, including online surveys and field experiments, this dissertation aims to investigate the relationship between individual and contextual factors and the behavior to switch modes of transportation. The target audience of the transportation demand management programs, their perceived barriers to active transportation (i.e., any self-propelled, human-powered mode of transportation, such as walking or bicycling) and shared transportation (i.e., transportation services and resources that are shared among users), as well as the dynamic impact of their cognitive biases on mode shift, were examined in-depth using behavior science methodologies. Advanced statistical and machine learning algorithms were utilized to interpret the findings.This dissertation's outcomes include a comprehensive framework for travel behavior investigation, demographic and geological characterization of the target audiences, and a deeper understanding of how mental and physical biases keep people from switching to more sustainable modes of transportation. This work contributes to the development of equitable and behavior-adaptive demand strategies that can maximize the behavior change impact while minimizing the cost of program development, implementation, and promotion.
590 $a School code: 0009.
650 4 $a Transportation. $3 201352
653 $a Transportation sustainability
653 $a Greenhouse gas emissions
653 $a Active transportation
690 $a 0709
710 2 $a The University of Arizona. $b Civil Engineering and Engineering Mechanics. $3 942649
773 0 $t Dissertations Abstracts International $g 84-07A.
790 $a 0009
791 $a Ph.D.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29997401