Work from home (WFH) has gradually become more popular since COVID-19 started its transmission in Myanmar during the first quarter of 2020. Its consequence was a re-evaluation of the culture of workplaces and a significant change has occurred to the pattern of daytime employment distribution. In this paper, the network distribution model was built with three constraints, Distribution Bias 1, 2, and 3. These biases were determined through questionnaires, survey data collections of responses from Yangonites, and geographical data of urban employment cores. These percentile biases influenced the amount of employed population per distribution times and gave rise to two results. One was the ordinary daytime employed population and another was the improved daytime employed distribution (considering WFH). These two results were compared and contrasted with coefficient of variations, t-tests, and other correlation methods to determine the effect of WFH on the daytime employed population. With survey data, it was clarified that majorities in Yangon do favor work from home as an alternative option for future employment. Subsequently, the compared results revealed that work from home significantly decreased the amount of employment distribution and the amount of such decrements were more consistent and had less variations, hence reducing cramming during daytime distribution.
Aye MN. 2019. National plan for port community system. Presented at the Capacity Building Workshop on Strengthening Transport Connectivity among CLMV-T, UNESCAP; Vientiane, Laos.
Bell KD. 2011. Comparing methods for estimation of daytime population in downtown Indianapolis, Indiana [Master’s thesis]. [Indiana]: Indiana University.
Bhaduri B. 2008. Population distribution during the day. In: Shekhar S, Xiong H, editors. Encyclopedia of GIS. Cham: Springer International Publishing. doi:10.1007/978-3-319-23519-6_1005-2.
[CQHP] Committee for Quality Control of High-Rise Building Construction Projects. 2020. Project list. Yangon: Committee for Quality Control of High-Rise Building Construction Projects. https://www.cqhp.org/project-list.
Garb JL, Cromley RG, Wait RB. 2007. Estimating populations at risk for disaster preparedness and response. J Homel Secur Emerg. 4(1). doi:10.2202/1547-7355.1280.
Geoff B. 2018. Estimating local daytime population density from census and payroll data. Reg Stud Reg Sci. 5(1):179–182. doi:10.1080/21681376.2018.1455535.
[JICA] Japan International Corporation Agency. 2014. Project for comprehensive urban transport plan of the Greater Yangon (YUTRA): final report summary. Tokyo: Japan International Corporation Agency (JICA). https://openjicareport.jica.go.jp/pdf/12182754.pdf.
Lat H. 2020 Apr 12. In photos: finding inspiration on Yangon’s empty streets. Frontier Myanmar. https://www.frontiermyanmar.net/en/in-photos-finding-inspiration-on-yangons-empty-streets/.
Lynn A. 2019 Dec 4. Key facts about three SEZs. Myanmar Insider. https://www.myanmarinsider.com/key-facts-about-three-sezs/.
Ma Y, Xu W, Zhao X, Li Y. 2017. Modeling the hourly distribution of population at a high spatiotemporal resolution using subway smart card data: a case study in the central area of Beijing. ISPRS Int J Geo-Inf. 6(5):128. doi:10.3390/ijgi6050128.
Ministry of Immigration and Population Myanmar. 2015. 2014 Myanmar population and housing census: Yangon region report. Full 3L. Myanmar: Department of Population.
Myanmar Marketing Research and Development. 2020. The Yangon directory 2020. Yangon: Myanmar Marketing Research and Development. http://www.yangondirectory.com.
PwC. 2018. Doing business in Yangon, 2018. Technical report. Yangon: PricewaterhouseCoopers Myanmar.
Trading Economics. 2017. Myanmar - bank accounts per 1000 adults. New York: Trading Economics. https://tradingeconomics.com/myanmar/bank-accounts-per-1000-adults-wb-data.html.
US Census Bureau. 2020. Calculating commuter-adjusted population estimates. Suitland: United States Census Bureau. https://www.census.gov/topics/employment/commuting/guidance/calculations.html.
Yangon Bus Directory. 2019. 2019 transit map. Yangon: Yangon Bus Directory. http://ygnbusdirectory.com/Home/MetroMap.
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