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Greenhouse Gas Emissions and Time-Use Patterns Under Work From Home: An Activity-based Individual-Level Model
Greenhouse Gas Emissions and Time-Use Patterns Under Work From Home: An Activity-based Ind...
Greenhouse Gas Emissions and Time-Use Patterns Under Work From Home: An Activity-based Individual-Level Model

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자료유형  
 학위논문 서양
최종처리일시  
20250211152944
ISBN  
9798342141826
DDC  
388.4
저자명  
Wu, Hongyue.
서명/저자  
Greenhouse Gas Emissions and Time-Use Patterns Under Work From Home: An Activity-based Individual-Level Model
발행사항  
[Sl] : Purdue University, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
213 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-04, Section: A.
주기사항  
Advisor: Chen, Yunfeng;Hubbard, Bryan J.;Jiang, Yi;Zhang, Jiansong.
학위논문주기  
Thesis (Ph.D.)--Purdue University, 2024.
초록/해제  
요약Work from home (WFH) moves work into home life, reshaping the residential, workplace, and commuting activities, which further impacts greenhouse gas (GHG) emissions. Although existing work has explored individual time-use patterns under WFH, there is a lack of complete consideration of diverse activities, their durations and timelines, as well as the comparisons with traditional life at home and Work in Office (WIO). Also, existing studies have examined GHG emissions under WFH, while individual-level estimation using activity-specific data covering all major activities is lacking. In particular, limited studies explored individual time-use patterns and quantified activity-based emissions for the construction workforce. Therefore, this dissertation aims to (1) develop an activity-based individual-level model to estimate GHG emissions under WFH, (2) compare individual time-use patterns and activity-based GHG emissions between traditional life at home, WFH, and WIO to understand how WFH affects work, life, and the environment, especially for the construction workforce, and (3) propose activity-based decarbonization strategies to reduce GHG emissions. By employing the proposed model, high-resolution calculations of individual time-use patterns and activity-based emissions were achieved, revealing major activities' durations and timing and highlighting major contributing activities to emissions under WFH. When shifting from traditional life at home to WFH, individuals reduced sleeping and leisure hours to incorporate work activity, resulting in an 11.34% reduction in GHG emissions. When comparing WFH to WIO, individuals reduced work and commuting time to include more cooking and leisure activities at home, mitigating GHG emissions by 29.11%. Demographic groups and climate regions showed different results mainly because of the varied work and household duties and the characteristics of regions. In addition, the construction workforce reduced GHG emissions by 13% and 46% under WFH compared to traditional life at home and WIO, respectively. Compared to the general public, the construction workforce had more reduction in work and commuting hours and associated emissions when shifting from WIO to WFH. The findings could help envision how WFH influences work, life, and the environment as well as assist both individuals and policymakers in achieving decarbonization and adopting low-carbon living during the work arrangement transition, which could contribute to sustainable development.
일반주제명  
Commuting
일반주제명  
Emissions
일반주제명  
Energy consumption
일반주제명  
Energy
일반주제명  
Transportation
기타저자  
Purdue University.
기본자료저록  
Dissertations Abstracts International. 86-04A.
전자적 위치 및 접속  
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MARC

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■1001  ▼aWu,  Hongyue.
■24510▼aGreenhouse  Gas  Emissions  and  Time-Use  Patterns  Under  Work  From  Home:  An  Activity-based  Individual-Level  Model
■260    ▼a[Sl]▼bPurdue  University▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a213  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-04,  Section:  A.
■500    ▼aAdvisor:  Chen,  Yunfeng;Hubbard,  Bryan  J.;Jiang,  Yi;Zhang,  Jiansong.
■5021  ▼aThesis  (Ph.D.)--Purdue  University,  2024.
■520    ▼aWork  from  home  (WFH)  moves  work  into  home  life,  reshaping  the  residential,  workplace,  and  commuting  activities,  which  further  impacts  greenhouse  gas  (GHG)  emissions.  Although  existing  work  has  explored  individual  time-use  patterns  under  WFH,  there  is  a  lack  of  complete  consideration  of  diverse  activities,  their  durations  and  timelines,  as  well  as  the  comparisons  with  traditional  life  at  home  and  Work  in  Office  (WIO).  Also,  existing  studies  have  examined  GHG  emissions  under  WFH,  while  individual-level  estimation  using  activity-specific  data  covering  all  major  activities  is  lacking.  In  particular,  limited  studies  explored  individual  time-use  patterns  and  quantified  activity-based  emissions  for  the  construction  workforce.  Therefore,  this  dissertation  aims  to  (1)  develop  an  activity-based  individual-level  model  to  estimate  GHG  emissions  under  WFH,  (2)  compare  individual  time-use  patterns  and  activity-based  GHG  emissions  between  traditional  life  at  home,  WFH,  and  WIO  to  understand  how  WFH  affects  work,  life,  and  the  environment,  especially  for  the  construction  workforce,  and  (3)  propose  activity-based  decarbonization  strategies  to  reduce  GHG  emissions.  By  employing  the  proposed  model,  high-resolution  calculations  of  individual  time-use  patterns  and  activity-based  emissions  were  achieved,  revealing  major  activities'  durations  and  timing  and  highlighting  major  contributing  activities  to  emissions  under  WFH.  When  shifting  from  traditional  life  at  home  to  WFH,  individuals  reduced  sleeping  and  leisure  hours  to  incorporate  work  activity,  resulting  in  an  11.34%  reduction  in  GHG  emissions.  When  comparing  WFH  to  WIO,  individuals  reduced  work  and  commuting  time  to  include  more  cooking  and  leisure  activities  at  home,  mitigating  GHG  emissions  by  29.11%.  Demographic  groups  and  climate  regions  showed  different  results  mainly  because  of  the  varied  work  and  household  duties  and  the  characteristics  of  regions.  In  addition,  the  construction  workforce  reduced  GHG  emissions  by  13%  and  46%  under  WFH  compared  to  traditional  life  at  home  and  WIO,  respectively.  Compared  to  the  general  public,  the  construction  workforce  had  more  reduction  in  work  and  commuting  hours  and  associated  emissions  when  shifting  from  WIO  to  WFH.  The  findings  could  help  envision  how  WFH  influences  work,  life,  and  the  environment  as  well  as  assist  both  individuals  and  policymakers  in  achieving  decarbonization  and  adopting  low-carbon  living  during  the  work  arrangement  transition,  which  could  contribute  to  sustainable  development.
■590    ▼aSchool  code:  0183.
■650  4▼aCommuting
■650  4▼aEmissions
■650  4▼aEnergy  consumption
■650  4▼aEnergy
■650  4▼aTransportation
■690    ▼a0791
■690    ▼a0629
■690    ▼a0709
■71020▼aPurdue  University.
■7730  ▼tDissertations  Abstracts  International▼g86-04A.
■790    ▼a0183
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164294▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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