Lakbai is a web application that visualizes our study which addresses the pressing challenges of urban mobility in the Philippines where traffic congestion, inadequate infrastructure, and vehicle-centric development create barriers to sustainable mobility. To improve pedestrian accessibility, we propose a dynamic, data-driven pedestrian accessibility index using fuzzy logic systems that integrate expert opinions and real-time data inputs, including traffic, pedestrian congestion, and socio-demographic factors. The system’s dynamic nature allows it to continuously adapt to local urban needs and patterns, ensuring that it reflects real-time changes in traffic flow, environmental conditions, and pedestrian behavior. By focusing on environmental, economic, and social sustainability, the model tailors its analysis to the unique characteristics of each area, providing localized, actionable insights for policymakers and urban planners. The fuzzy system will model complex urban conditions, leveraging expert input from infrastructure, environmental, and economic domains, while real-time data ensures continuous updates to the accessibility index. The system will be deployed via an interactive dashboard that visualizes dynamic pedestrian accessibility metrics, helping city planners make informed decisions to reduce vehicle dependency, enhance walkability, and promote more equitable, sustainable urban environments. This approach ensures that urban mobility solutions are not only adaptive but also aligned with the evolving needs of local communities.
Make sure that the node version matches the one in .nvmrc
node -V
npm install
Create a .env file in the root of the project directory, and then fill out the ENV variables based on .env.template
npm run dev