Pola Pergerakan Orang di Masa Pandemi dengan Pendekatan Eksploratif di Wilayah Kepulauan Bangka Belitung

COVID-19 has spread around the world and has given a huge impact on people's lives. One of the changes in the COVID-19 condition is the travel pattern of people. Travel patterns can be explained in terms of the flow of vehicles, passengers, and people's mobility from the origin and destination zones within a certain area and period. On the other hand, it is known that travel patterns are an essential factor in solving transportation problems. The change of travel pattern data is needed for transportation planners and policymakers in providing safe transportation during the pandemic. In addition, data on travel patterns also play an important role in determining travel restrictions in an area to reduce the spread of COVID-19. This study tries to analyze travel patterns during the COVID-19 pandemic through an exploratory approach by taking a case study in the Bangka Belitung Province. The results of this study show that the mobility was dominated by intra-island trips during the pandemic, both within Bangka Island and Belitung Island. Furthermore, during the COVID-19 pandemic, the majority of people made changes to their routine's mobility. More than 50% of people did not return to their original travel patterns even though the pandemic conditions had entered the New Normal period. The most influential factor which makes people change their mobility is to take precautions from COVID-19.

GIS Based Analysis Freight Demand in Jisr Diyala Area.

In determining the economy of the region, freight transportation plays a major role. Usually, efficient freight distribution networks take care of reducing the cost of transporting goods to and from transportation facilities. The purpose of this analysis is to find an alternative route for the Jisr Diyala entrance, using aggregate freight data and Spatial Analysis techniques from GIS, in particular, to analyze the travel pattern of intercity truck traffic. Shipping data is obtained through roadside surveys and interviews which represent the primary source of data for this study. The study concludes by determining the best route for trucks, which reflects the current path in fact, and proposing a path to split trucks from small vehicles to avoid the current problem, as the questionnaires revealed that the largest amount of goods type was for construction materials by 32%, with the majority of commercial areas intended for users. The path and the study of the paths that link them. Using GIS techniques, various assessments of freight demand are made, and producing this analysis is helpful for decision-makers to apply the right decisions.

Exploring Women’s Experience of Gender-Based Violence and Other Threats to Safety on Public Transport in Bangladesh

Equal access to safe transport is increasingly conceptualised as a fundamental right for women, with demonstrated impact on health outcomes, social and economic mobility, and societal participation. This study analysed qualitative and quantitative data to examine travel patterns and experiences among 200 women (aged between 18-64 years) using paid transport for work or educational purposes in Bangladesh. Results showed that the women faced multiple threats to their safety, including gender-based violence, harassment and crime, and traffic and non-traffic injury and that the use of paid transport was associated with high levels of anxiety and fear. Despite these circumstances, the women were captive travellers, forced to make transport choices based on price, availability, and ease of travel rather than safety. Unable to choose safe transports, the women attempted to mitigate risks by changing their travel pattern and behaviour, and by restricted their travel frequency. These findings are discussed within the context of women’s rights and mobility justice.

Forecasting travel patterns during COVID-19 period using Community Mobility Report Case study: Bangka Belitung Province

The pandemic of COVID-19 has caused many changes and one of the changes is in people’s travel patterns. Travel patterns have potentially related to environmental factors. The patterns in an urban environment can affect the liveability increase and the planning in urban areas. The change of travel pattern data is necessary for transportation planners and policymakers in providing safe transportation during the pandemic. Therefore, forecasting travel patterns is particularly essential to plan a better environment to reduce the spread of COVID-19. This study tries to forecast travel patterns during the COVID-19 period in Province of Bangka Belitung using the Community Mobility Report provided by Google. In this study, a time series model is necessary to predict future mobility. The model used in this research is exponential smoothing. The results find that the prediction of travel patterns for each trip destination experiences a fluctuating trend. The prediction for going to retail and recreation, grocery stores and pharmacies, parks, and transit stations tends to increase. Otherwise, the prediction of travel patterns for going to workplaces and residential decreases. Furthermore, the results of this study are feasible to plan a better environment to reduce the spread of COVID-19.