In the face of an emerging and novel pandemic, perceptions of its danger and probability of being affected can influence how an individual take precautionary actions. We performed an exploratory study to examine how travellers perceive the risk-related to COVID-19 and how the outbreak has affected their commuting and non-commuting travel activities. Building on previous studies, we propose a working hypothesis of personal risk perception and trip adjustment decision and collect information to preliminary check our hypothesis. We report on our work, and the results of an online survey carried out between March 12-19, 2020, which collected 71 responds from countries in Europe, Asia, Australia, and the Middle East in this working paper. Our results illustrate how the respondents altered their travel, their rationales, the precautionary actions they took, their foremost concerns, the sources of information they based their decisions on, and how useful they found teleconference as an alternative. Also, we observed their risk-related perception concerning the proposed model. We found several potential correlations and some regional and country variations but were unable to draw any definitive conclusion due to the limited sample size. We share our preliminary results here for discussion purposes.
Abstract. Thailand has faced environmental issues that affect people all the time. Haze from the forest fires for instance is concerned as national problem that we confront every year. To determine the severity of smog conditions being a consequence of haze fire in some areas cannot be easily done. Unmanned Aerial Vehicle (UAV) then could be easily used as a tool for surveying in such difficult burning areas. Furthermore having the environmental sensing devices developed and mounted on the UAV would be a worthy approach for monitoring environmental status in hazardous areas.This research was conducted to assemble the UAV and sensor device for measuring the environmental data including temperature, humidity and dust particle. The sensor was calibrated with reference devices. The field test was carried out in Nan province. Together with temperature, humidity and dust particle value, the location and time from GPS on UAV will be integrated correspondingly with environmental measuring data. Those entirely data will be imported to GIS and rendered in map form subsequently.
The COVID-19 pandemic is found to be one of the external stimuli that greatly affects mobility of people, leading to a shift of transportation modes towards private individual ones. To properly explain the change in people’s transport behavior, especially in pre- and post- pandemic periods, a tensor-based framework is herein proposed and applied to Pun Pun–the only public bicycle-sharing system in Bangkok, Thailand–where multidimensional trip data of Pun Pun are decomposed into four different modes related to their spatial and temporal dimensions by a non-negative Tucker decomposition approach. According to our computational results, the first pandemic wave has a sizable influence not only on Pun Pun but also on other modes of transportation. Nonetheless, Pun Pun is relatively more resilient, as it recovers more quickly than other public transportation modes. In terms of trip patterns, we find that, prior to the pandemic, trips made during weekdays are dominated by business trips with two peak periods (morning and evening peaks), while those made during weekends are more related to leisure activities as they involve stations nearby a public park. However, after the first pandemic wave ends, the patterns of weekday trips have been drastically changed, as the number of business trips sharply drops, while that of educational trips connecting metro/subway stations with a major educational institute in the region significantly rises. These findings may be regarded as a reflection of the ever-changing transport behavior of people seeking a sustainable mode of private transport, with a more positive outlook on the use of bicycle-sharing system in Bangkok, Thailand.
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