Comparison of the Proposed Layout and Existing Traffic Flow Layout of Roadways in MOA Complex towards Traffic Flow Efficiency

Document Types

Paper Presentation

Research Theme (for Paper Presentation and Poster Presentation submissions only)

Sustainability, Environment, and Energy (SEE)

School Name

National University - Mall of Asia

Track or Strand

Science, Technology, Engineering, and Mathematics (STEM)

Research Advisor (Last Name, First Name, Middle Initial)

Marticio, Jordan Austin O.

Start Date

25-6-2026 10:30 AM

End Date

25-6-2026 12:00 PM

Zoom Link/ Room Assignment

Online - https://zoom.us/j/92594857524 Meeting ID: 925 9485 7524 | Passcode: research

Abstract/Executive Summary

This study evaluates the effectiveness of existing and proposed traffic flow layouts in improving traffic flow efficiency within the MOA Complex, focusing on traffic flow efficiency such as arrangement of lanes, implementation of traffic control strategies is highlighted to enhance mobility, minimize delays, and enhance smoother traffic operations. Using a quantitative descriptive-comparative research design, and purposive sampling as a non-probability sampling technique where participants were chosen using specific criteria. Data were collected from 30 expert respondents through a Likert-scale questionnaire. Results showed that the proposed layout obtained a higher mean rating (M = 3.70, SD = 0.381), compared to the existing layout (M= 3.14, SD = 0.276), indicating a stronger preference for the proposed design. A paired sample t-test revealed a statistically significant difference between the two layouts t(29) = 6.46, p < .001, with a large effect size (Cohen’s d = 1.18), suggesting that the improvement is both statistically and practically meaningful. The Shapiro–Wilk test (p = 0.773) confirmed that the data were normally distributed, supporting the validity of the analysis. Overall, findings indicate that the proposed layout enhances traffic flow efficiency through improved roadway design and planning. The study recommends the use of traffic simulation tools and broader data collection methods in future research to further validate and expand these results for more effective urban traffic management.

Keywords

Traffic Flow Layout; Traffic Flow Efficiency; MOA Complex; Experts Assessment; Architecture

Statement of Originality

yes

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Jun 25th, 10:30 AM Jun 25th, 12:00 PM

Comparison of the Proposed Layout and Existing Traffic Flow Layout of Roadways in MOA Complex towards Traffic Flow Efficiency

This study evaluates the effectiveness of existing and proposed traffic flow layouts in improving traffic flow efficiency within the MOA Complex, focusing on traffic flow efficiency such as arrangement of lanes, implementation of traffic control strategies is highlighted to enhance mobility, minimize delays, and enhance smoother traffic operations. Using a quantitative descriptive-comparative research design, and purposive sampling as a non-probability sampling technique where participants were chosen using specific criteria. Data were collected from 30 expert respondents through a Likert-scale questionnaire. Results showed that the proposed layout obtained a higher mean rating (M = 3.70, SD = 0.381), compared to the existing layout (M= 3.14, SD = 0.276), indicating a stronger preference for the proposed design. A paired sample t-test revealed a statistically significant difference between the two layouts t(29) = 6.46, p < .001, with a large effect size (Cohen’s d = 1.18), suggesting that the improvement is both statistically and practically meaningful. The Shapiro–Wilk test (p = 0.773) confirmed that the data were normally distributed, supporting the validity of the analysis. Overall, findings indicate that the proposed layout enhances traffic flow efficiency through improved roadway design and planning. The study recommends the use of traffic simulation tools and broader data collection methods in future research to further validate and expand these results for more effective urban traffic management.

https://animorepository.dlsu.edu.ph/conf_shsrescon/2026/BoA_SEE/11