This repository contains the experimentation, model development, and geospatial processing workflows used in the development of LAKBAI, a project focused on assessing sidewalk accessibility in the Philippines with a small case study within Mandaue City Center.
It includes experiments for the generation of rulesets for the fuzzy inference system, sidewalk accessibility classification, evaluation of predictive models, and algorithms for generating sidewalk segments from OpenStreetMap-based data.
Contains cached files and intermediate outputs used during processing and experimentation.
Stores the generated sidewalk segment datasets specific to the Mandaue City Center study area.
Contains files and resources related to the interactive map generation and visualization of sidewalk line segments.
Contains notebooks, scripts, and other materials related to model development, experimentation, and evaluation for sidewalk accessibility prediction.
Contains the code and experiments for generating sidewalk segments from map or geospatial data.
Project documentation and repository guide.
Generated interactive map showing sidewalk segments or related geospatial outputs.
This repository covers the following major components:
- Fuzzy Inference System Generator
- Sidewalk accessibility classification models
- Model evaluation and benchmarking
- Sidewalk segment generation workflow
- Interactive map visualization
The repository serves as a working development space for testing and refining the methods behind LAKBAI, particularly in:
- generating usable sidewalk segments from geospatial data,
- building predictive models for sidewalk accessibility,
- comparing model performance using evaluation metrics,
- visualizing outputs through interactive maps.
Some folders may contain experimental, intermediate, or generated files that support the overall workflow. Structure and contents may continue to evolve as development progresses.