Understanding Mobility Decision Making of People During Covid-19 with Decision Making Theory
- DOI
- 10.2991/aebmr.k.210809.004How to use a DOI?
- Keywords
- COVID-19, Human Behavior, Mobility, Decision Making Theory
- Abstract
COVID-19 pandemic broke out at the beginning of 2020. Since then, it has spread all over the world. Restriction of its fatal effects demands understanding and management of human behavior, in order to mitigate the spread of the pandemic and deal with abrupt outbreaks across the globe. The objective of this study is to understand mobility decision making of people during pandemic by applying an extended Decision Field Theory (DFT) model. In the study, data about people mobility decisions was collected with a survey of three rounds that was constructed according to the structure of the extended DFT. The preliminary results of the study are presented with descriptive analysis. The results indicate that several factors affect to the decisions of mobility and they vary among the persons in time. Apart from the main factors directly affecting to the decision making, there is also indirect factors influencing to the decisions. The result of this study can be utilized for further development of a decision model for understanding and predicting decision behavior of people in pandemic situation or other corresponding conditions.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Guanghan Wu AU - Shouyan Xia AU - Jiayi Li AU - Hongyi Chen AU - Haoxing Qi AU - Haowen Yu AU - Jouni Markkula PY - 2021 DA - 2021/08/09 TI - Understanding Mobility Decision Making of People During Covid-19 with Decision Making Theory BT - Proceedings of the 2021 International Conference on Transformations and Innovations in Business and Education (ICTIBE 2021) PB - Atlantis Press SP - 21 EP - 29 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210809.004 DO - 10.2991/aebmr.k.210809.004 ID - Wu2021 ER -