RESUMO
Mobility and out-of-home activities restrictions from the COVID-19 pandemic have forced people to maximize their in-home activities. Considering the increase in Information and Communication Technology (ICT) adoption during the outbreak, this paper tries to shed light on the factors that influence changing travel behavior. For these purposes, the study uses data collected through an online questionnaire during the outbreak in Indonesia, which was then analyzed using cluster and discriminant analyses. The study found that online adaptation during the outbreak was affected by income level, whereby high-income individuals are associated with high online adaptation. Residential location also influences ICT adaptation during the outbreak. Cities with higher access to the internet and ICT platforms as well as higher income per capita tend to have higher ICT adoption. People with more experience with online platforms or services also record higher online in-home activity adoption during the outbreak. Furthermore, while the lower-income group tends to reduce their travel, the higher-income group still continues to travel to fulfil their household needs during the outbreak, such as in-store shopping. Since the lower-income group and less accessible areas tend to have difficulty in accessing ICT as a substitute for travel, this study recommends that the government and ICT stakeholders ensure equal access to ICT to support physical distancing and to limit mobility in order to flatten the peak of the pandemic.
RESUMO
This study examines the change in activities and associated travel during the beginning of COVID-19 pandemic in Indonesia. This study is particularly interested in analyzing the role of attitudes, descriptive norms, protective behaviors toward COVID-19, travel frequency before the pandemic, and spatial and individual characteristics on activity-travel behavior changes in relation to information and communication technology (ICT) use. Data were obtained from 1062 respondents using a web-based questionnaire survey. Structural equation modeling was used to examine the complex relationships among variables. This study found that descriptive norms positively affected the frequency of travel during the COVID-19 pandemic. Teleworking and e-learning and attitudes toward COVID-19 directly affected activity-travel behavior changes. On the contrary, teleshopping did not contribute to reducing out-of-home activities during the COVID-19 pandemic. Experience of ICT influenced a decline in travel frequency and ride-hailing use. Furthermore, although personal attributes insignificantly influenced activity-travel behavior change, these attributes directly affected ICT use. Meanwhile, people living outside of Java Island had a higher travel frequency during the beginning of COVID-19 pandemic than their counterparts. Based on our findings, this study recommends that the very initial step in an emergency caused by a disaster be to massively socialize or educate people about the risk of the pandemic and to continue with a policy to minimize travel by encouraging teleworking and e-learning. Empowering ICT to support activities from home will beneficially minimize the spread of the pandemic.
RESUMO
The present study will be the first to examine the participation intention of physical activities if new normal conditions are implemented in Indonesia. Socio-economic and household factors, spatial characteristics, perception of coronavirus disease (COVID-19), and the virtual activities behaviour during the COVID-19 pandemic were explored to understand the magnitude of respondents' intention to undertake out-of-home activities during new normal conditions. Based on a questionnaire survey, the study, with 834 respondents, was conducted in the middle to the end of May 2020. By applying the ordered logit model, the model results revealed that younger people tend to participate more in maintenance activities of shopping and outside eating and leisure activities of recreation and social. Meanwhile, the factor of gender, income, and education level had no significant impact on participation intention of mandatory, maintenance, and leisure activities. Excluding non-grocery shopping, there was also no significant difference in activity participation intention between people living in the Greater Jakarta as epicentrum of COVID-19 in Indonesia and people living outside the Greater Jakarta. Furthermore, people living in a household with a high number of motorcycle and car ownership had a greater propensity to pursue outside eating activity. The activity behaviour change from physical to virtual activity participation during new normal conditions could not be replaced by the experience of virtual activities, including e-working, e-learning, non-grocery e-shopping, food delivery, and movie streaming during the pandemic. Finally, some policies are proposed to control activity participation during the new normal period to minimise the virus spread in Indonesia.
