GeoCycleSJDM: A GPS-Enabled Intelligent Group Cycling Safety and Route Analytics System for Bikers in San Jose del Monte, Bulacan

Authors

  • John Gabriel C. Sambajon AMA University, Quezon City, Philippines
  • Eduardo R. Yu II AMA University, Quezon City, Philippines
  • Nicole T. Llorin AMA Computer College Caloocan, Caloocan City, Philippines

DOI:

https://doi.org/10.5281/zenodo.21130415

Keywords:

Cycling Safety, Geospatial Analytics, GPS Tracking, Intelligent Transportation Systems, Route Analytics

Abstract

Cycling has emerged as a sustainable and environmentally friendly mode of transportation; however, cyclists remain vulnerable to road hazards, inadequate infrastructure, and limited access to localized navigation and safety systems. This study developed GeoCycleSJDM, a GPS-enabled intelligent group cycling safety and route analytics system designed for cyclists in San Jose del Monte, Bulacan. The system integrates real-time GPS route tracking, group ride coordination, SOS emergency alerts, and route analytics to enhance cyclist safety, navigation efficiency, and community engagement. A developmental research design utilizing the Design Science Research (DSR) approach and Agile Software Development Methodology was employed in the design, development, testing, and evaluation of the system. The application was evaluated by 43 cyclists and 7 IT professionals using the ISO/IEC 25010 Software Quality Model. Results showed that all core functionalities were successfully implemented. Performance testing revealed response times ranging from 0.28 to 0.61 seconds across major system operations. Evaluation using the ISO/IEC 25010 Software Quality Model yielded excellent ratings from cyclists (overall mean = 4.65) and IT experts (overall mean = 4.58), indicating high functional suitability, usability, performance efficiency, and security. These findings confirm the system's effectiveness, reliability, and readiness for real-world deployment. The study concludes that GeoCycleSJDM provides a localized and intelligent solution that promotes safer cycling experiences, improves group ride coordination, and supports data-driven urban mobility planning within San Jose del Monte, Bulacan.

References

Alderete, M. V. (2021). Determinants of smart city commitment among citizens from a middle city in Argentina. Smart Cities, 4(3), 1113–1129. https://doi.org/10.3390/smartcities4030059

Ameen, I. A. (2025). Intelligent bicycle safety and tracking system: A GPS and GSM-based approach. Jupiter Journal of Engineering and Informatics. https://doi.org/10.61132/jupiter.v3i1.713

Chen, Z., He, Q., & Zhang, J. (2019). Understanding cycling trip purpose and route choice using GPS data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(2). https://doi.org/10.1145/3314407

Dabiri, S., & Heaslip, K. (2018). Inferring transportation modes from GPS trajectories using a convolutional neural network. arXiv. https://arxiv.org/abs/1804.02386

Elmasri, R., & Navathe, S. B. (2016). Fundamentals of database systems (7th ed.). Pearson.

Fishman, E. (2016). Bikeshare: A review of recent literature. Transport Reviews, 36(1), 92–113. https://doi.org/10.1080/01441647.2015.1033036

Gu, Y., Liu, M., Souza, M., & Shorten, R. (2018). On the design of an intelligent speed advisory system for cyclists. arXiv. https://arxiv.org/abs/1804.08282

Heesch, K. C., & Langdon, M. (2016). The usefulness of GPS bicycle tracking data for evaluating the impact of infrastructure change on cycling behaviour. Health Promotion Journal of Australia, 27(3), 217–221. https://doi.org/10.1071/HE16032

Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105. https://doi.org/10.2307/25148625

Hood, J., Sall, E., & Charlton, B. (2011). A GPS-based bicycle route choice model for San Francisco, California. Transportation Letters, 3(1), 63–75. https://doi.org/10.3328/TL.2011.03.01.63-75

Downloads

Published

2026-07-09

How to Cite

Sambajon, J. G., Yu , E., & Llorin, N. (2026). GeoCycleSJDM: A GPS-Enabled Intelligent Group Cycling Safety and Route Analytics System for Bikers in San Jose del Monte, Bulacan. International Journal of Research on Multidisciplinary Studies, 1(5), 412–425. https://doi.org/10.5281/zenodo.21130415

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.