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Analysis of Limited-time and Continuous Teleworkers in the COVID-19 Situation—Survey of Workers in the Special Wards of Tokyo Metropolis and Tochigi Prefecture—
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- AOKI Eri
- Faculty of Information Networking for Innovation and Design, Toyo University
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- HIRAMATSU Ai
- Faculty of Information Networking for Innovation and Design, Toyo University
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- HANAKI Keisuke
- Faculty of Information Networking for Innovation and Design, Toyo University
Bibliographic Information
- Other Title
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- コロナ禍におけるテレワークの期間限定利用者と継続利用者の特徴分析—東京23区と栃木県での勤務者を対象とした調査—
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Description
<p>A questionnaire survey was conducted on changes in work and commuting conditions in the COVID-19 situation were surveyed with respect to teleworking, which is expected to reduce environmental impact. Respondents with telework experience in 2020 were sampled in Tokyo, which is highly rail-dependent area, and in Tochigi, which is highly car-dependent area.</p><p>Even during the period of maximum telework, there were few teleworkers who completely teleworked from home or used satellite offices, and many teleworkers worked in combining office work and home. The trend of continuous teleworkers in Tokyo was that many of them were in their 40 s, worked in the information and telecommunications industry, and had a long commuting time. Furthermore, a high percentage of them rearranged furniture or purchased new furniture for telecommuting. On the other hand, women and those in the education industry were the most frequent users only during the emergency declaration period.</p><p>In Tochigi, where the environmental burden of commuting is high due mainly to the use of automobiles, the frequency of commuting to work was high during telework period and the environmental burden associated with commuting resumed as well, as the employees returned to their traditional work style in November 2020 when the COVID-19 disaster subsided somewhat.</p>
Journal
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- ENVIRONMENTAL SCIENCE
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ENVIRONMENTAL SCIENCE 36 (4), 122-134, 2023-07-31
SOCIETY OF ENVIRONMENTAL SCIENCE, JAPAN
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Details 詳細情報について
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- CRID
- 1390578437525257856
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- ISSN
- 18845029
- 09150048
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- KAKEN
- Crossref
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- Abstract License Flag
- Disallowed
