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Strategic Development of Graphical User Interface Tools for Enhancing Transportation Mobility Among Vulnerable Groups During Pandemics
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2024-12-01
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[PDF-3.05 MB]
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Edition:Final Report (March, 2024 – December, 2024)
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Abstract:Safety concerns, social distancing requirements, and limited on-road vehicles during the pandemic have resulted in disruptions or reduced operations in many public transportation services, exposing underlying transportation mobility problems. Despite these challenges and travel restrictions, essential travel demands persist, such as accessing healthcare, grocery stores, employment opportunities, and other fundamental services. However, due to the decreased service frequency of buses, trains, and other modes of public transit, vulnerable groups are disproportionately affected by limited mobility options compared to other populations. This exacerbates existing inequalities and affects their ability to meet essential needs under this challenging circumstance. Disadvantaged and disabled travelers often rely more on public transportation to access those essential services for its affordable ticket prices. Therefore, addressing these social exclusion challenges and providing a minimal transportation service level is crucial to ensure equitable access to essential services for vulnerable populations throughout the pandemic and beyond. To improve the life quality of people with disabilities and elderly people by addressing social exclusion, accessibility, and mobility issues, previous team work has developed a car-sharing optimization model with Sample Average Approximation (SAA) and Rolling Horizon (RH) methods, so that city planners, Non-profit Organizations (NPOs), and some other policymakers are enabled to better allocate limited resources to implement the car-sharing system when little to no historical travel information is available for low-density population areas. Nevertheless, understanding and implementing the technical algorithm and framework can be challenging for individuals who lack sufficient training, primarily due to its complexity and the absence of user-friendly interfaces and/or step-by-step user manual guidance. In order to reduce the application barrier for general users, this project aims to develop a more user-friendly Graphical User Interface (GUI) using the Tkinter library within Python and provide comprehensive manual guidance.
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