Lakbayan: Developing a Crowdsourced Public Transportation Mobile Application for the Philippines
- DOI
- 10.2991/978-94-6239-638-8_32How to use a DOI?
- Keywords
- public transportation; crowdsourcing; software engineering
- Abstract
Public transportation in the Philippines is multimodal and demand-responsive, yet commuters lack access to real-time, reliable route information. Existing navigation apps like Google Maps and Waze cater primarily to private vehicles, while local alternatives such as Sakay.ph and Moovit suffer from outdated or incomplete data. A promising approach is crowdsourcing, which gathers data directly from commuters to provide and validate route information. This study presents Lakbayan, a crowdsourced public transport app that enables users to submit and verify routes. It offers multimodal trip planning with landmarks and realtime updates through a live transit journal. In a limited deployment for user testing, users submitted over 100 trips, 60 journals, and 175 validation points. Validation methods were rated highly for usefulness and reliability. While data accuracy depends on continued user engagement, Lakbayan proves that commuter-driven tools can fill gaps by offering a participatory model for transport planning in the Philippine context.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ayen Unice Manguan AU - Bea Alessi Yukdawan AU - Jozelle Addawe AU - Jaime Caro PY - 2026 DA - 2026/04/30 TI - Lakbayan: Developing a Crowdsourced Public Transportation Mobile Application for the Philippines BT - Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2025) PB - Atlantis Press SP - 613 EP - 628 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6239-638-8_32 DO - 10.2991/978-94-6239-638-8_32 ID - Manguan2026 ER -