Analysis of The Number of Buses at Lempake Bus Station in Samarinda
- DOI
- 10.2991/978-94-6463-732-8_35How to use a DOI?
- Keywords
- Bus Availability; Bus Station; Public Transportation; Waiting Time; Simulation
- Abstract
Mass transportation plays a vital role in reducing carbon emissions and enhancing sustainability in urban environments. This study focuses on analyzing bus availability through simulation to optimize the efficiency and effectiveness of public transportation systems. The simulation model represents passenger arrivals and choices between two bus destinations, utilizing parameters such as bus arrival times, waiting times, and terminal capacity. Results demonstrate variations in passenger waiting times and bus utilization across destinations, with destination A experiencing an average wait of 1.84 min and destination B, 3.92 min. The model shows balanced passenger distribution, with an average of 13 waiting passengers for each route, indicating current bus capacity sufficiency. This study provides insights into using simulation as an analytical tool to improve bus station operations thereby minimizing passenger waiting times. Future research is needed to explore the factors that influence people’s willingness to use mass transportation.
- Copyright
- © 2025 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 - Johannes E. Simangunsong AU - Dutho Suh Utomo PY - 2025 DA - 2025/06/07 TI - Analysis of The Number of Buses at Lempake Bus Station in Samarinda BT - Proceedings of the International Conference on Tropical Studies and Its Application (ICTROPS 2024) PB - Atlantis Press SP - 380 EP - 386 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-732-8_35 DO - 10.2991/978-94-6463-732-8_35 ID - Simangunsong2025 ER -