Publication Type
Conference Proceeding Article
Version
submittedVersion
Publication Date
3-2022
Abstract
This paper analyzes the changes in mobility trends due to the impact of the COVID-19 pandemic in Singapore in the six different sectors: Retail and Recreation, Grocery and Pharmacy, Parks, Transit Stations, Workplaces and Residential. The period of observation is from 15 February 2020 to 18 August 2021. The observed patterns obtained from the descriptive data analysis sheds light on the effectiveness of social distancing measures in Singapore as well as the level of compliance among the country’s residents. Correlation analysis is used to explore the relationship between different sectors during the pandemic period. The results reveal a strong sense of compliance with government policies and personal responsibility to social distance. We establish that the Transit Stations Sector, and Retail and Recreation Sector are two of the most sensitive sectors to mobility changes, while Grocery and Pharmacy Sector is the most unaffected one as it is considered as a necessity during the pandemic.
Keywords
COVID-19, Singapore, mobility, social distancing measures, descriptive statistics, correlation analysis
Discipline
Asian Studies | Databases and Information Systems | Health Information Technology | Public Health
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey, 2022 March 7-10
First Page
4104
Last Page
4115
Publisher
IEOM
City or Country
Istanbul, Turkey
Citation
GUNAWAN, Aldy; TRAN, Linh Chi; TAN, Kar Way; and WANG, I-Lin.
Exploring and evaluating the impact of COVID-19 on mobility changes in Singapore. (2022). Proceedings of the 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey, 2022 March 7-10. 4104-4115.
Available at: https://ink.library.smu.edu.sg/sis_research/7176
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://ieomsociety.org/proceedings/2022istanbul/773.pdf
Included in
Asian Studies Commons, Databases and Information Systems Commons, Health Information Technology Commons, Public Health Commons