Measuring office attendance during the COVID-19 pandemic with mobility data to quantify local trends and characteristics (Record no. 134221)

MARC details
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2509-7954
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sakuma, Makoto
9 (RLIN) 122150
245 #0 - TITLE STATEMENT
Title Measuring office attendance during the COVID-19 pandemic with mobility data to quantify local trends and characteristics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Asia-Pacific Journal of Regional Science
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 185-237
520 ## - SUMMARY, ETC.
Abstract The COVID-19 pandemic has accelerated the work-from-home trend, with significant variations in location, industry and firm size. These shifts have significantly affected economies and societies but traditional data cannot be easily tracked. This paper presents a method for measuring office attendance and examines its trends and characteristics. To this end, we first introduced the working-at-office ratio, which is the percentage of people going to an office compared to the pre-COVID-19 period, considering 74 office submarkets in six major Japanese cities. We captured mobility trends in office buildings using rich Global Positioning System-based mobile location data combined with specific office location data. Subsequently, we demonstrated the effectiveness of the proposed indicators by comparing them with other mobility data and office attendance indicators. Finally, we examined the relationships between the working-at-office ratio and the characteristics of the office buildings and tenants in each submarket. The findings indicated that factors, such as the proportion of large buildings, concentration of specific sectors, and tenant size, were significantly related to office attendance, with these relationships evolving over the duration of the pandemic. Our approach provides real-time, granular insights into office attendance trends, which are crucial for anticipating future work paradigms.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Office Attendance Rate
9 (RLIN) 122151
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Work From Home
9 (RLIN) 122152
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Alternative Data
9 (RLIN) 122153
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Imazeki, Toyokazu
9 (RLIN) 122154
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Matsuo, Kazushi
9 (RLIN) 122155
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tsutsumi, Morito
9 (RLIN) 122156
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/s41685-023-00324-4">https://doi.org/10.1007/s41685-023-00324-4</a>
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha biblionumber 134221
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Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Serial Enumeration / chronology Total Checkouts Barcode Date last seen Price effective from Koha item type
        Dr VKRV Rao Library Dr VKRV Rao Library 08/10/2024 Vol. 8, No. 1   AI505 08/10/2024 08/10/2024 Article Index