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Submitted October 28, 2025
Published 2026-01-14

Artículos

Vol. 13 No. 1 (2026): Revista Colón Ciencias, Tecnología y Negocios

Analysis of Vehicular Traffic in the City of Las Tablas, Province of Los Santos, Republic of Panama: An Applied Case Study

DOI https://doi.org/10.48204/j.colonciencias.v13n1.a8515

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References
DOI: 10.48204/j.colonciencias.v13n1.a8515

Published: 2026-01-14

How to Cite

Frías, I., Vergara, O., Rivera, S., Martínez, A., Cortez, K., Caballero Castro, L. C., & Montenegro C., A. (2026). Analysis of Vehicular Traffic in the City of Las Tablas, Province of Los Santos, Republic of Panama: An Applied Case Study. Revista Colón Ciencias, Tecnología Y Negocios, 13(1), 50–71. https://doi.org/10.48204/j.colonciencias.v13n1.a8515

Copyright (c) 2025 Revista Colón Ciencias, Tecnología y Negocios

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Abstract

Urban vehicular congestion, linked to 10.82% demographic growth in the District of Las Tablas between 2010–2023 and stagnant road infrastructure, generates critical consequences such as increased travel times, environmental deterioration, and productivity loss. Given the absence of local studies with a logistical focus and the ineffectiveness of the traffic control system in the District of Las Tablas, this study aimed to determine how Strategic Information Logistics (SIL), through data analysis and time measurements, can be applied to Optimize Urban Vehicular Traffic (OUT). The focus was on the critical Dr. Belisario Porras Avenue.

The development of this research included a sample of 379 inhabitants to measure perception (Likert scale) and 379 direct on-site measurements of speed and travel time over a 150-meter segment. The objective data confirmed vehicular congestion, where the average speed was only 6.19 Km/h (below the 20 Km/h limit) and 96.57% of vehicles were moving below this limit, resulting in an average time of 2.58 for a 150-meter stretch, establishing critical mobility criteria. Citizen perception validated this urgency with an 83.64% perceived need for improvement. A high readiness for change was evident, with 94.72% of the sample supporting the implementation of traffic improvement measures.

The lack of robust SIL (insufficient technology and updated data) is the main factor preventing Urban Traffic Optimization. The installation of an intelligent traffic light in the evaluated segment, improved institutional coordination, and the promotion of citizen participation are recommended. These measures, backed by scientific data, can mitigate the negative impact of congestion, help decongest the city, and promote a more efficient and sustainable urban environment.

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